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The Impact of Artificial Intelligence on Law with Chris Garrod, Director of Insurance and Technology at Conyers Dill & Pearman – JD Supra

In this episode of On Record PR, Jennifer Simpson Carr goes on record with Chris Garrod, Director of Insurance and Technology and head of the FinTech group at Conyers Dill & Pearman, to discuss the impact of artificial intelligence on the practice of law.

Chris Garrodis a Director in the Corporate department of Conyers Dill & Pearman. He is a member of the firms insurance practice in Bermuda.

Chris specializes in advising on reinsurance and ILS structures, including large commercial insurers, life reinsurers, special purpose insurers, cat bonds, sidecars and segregated account vehicles. In addition to his insurance practice, he also advises on all aspects of Bermuda corporate law, including mergers and acquisitions, takeovers, reorganizations and re-domestications. He has also formed cryptocurrency vehicles using blockchain-based technology, forming Bermudas first digital token issuer in late 2017. Chris is also a member of the Government of Bermudas Blockchain legal and working group and the Bermuda Business Development Agencys Blockchain working group.

With over 15 years of experience working in Bermudas reinsurance market, Chris acts for a number of large commercial insurers/reinsurers including Assured Guaranty, Chubb, Essent Re, Everest Re, Markel Corporation, Sirius International Insurance Group, Tokio Millennium Re, White Mountains Insurance Group, XL Group, and Zurich Insurance Group.

He has also been involved in the formation of a number of segregated account alternative reinsurance and ILS platforms, acting for reinsurers, investment hedge funds, investment managers, pension plans, investment banks and listed companies. Additionally, he acts for numerous Lloyds syndicates which have Bermuda platforms. Finally, Chris sits on various reinsurance and captive boards in a non-executive capacity advising on Bermuda insurance regulatory and general corporate legal updates to those boards.

Internationally recognized as a leading lawyer, Chris has been recommended in a number of legal directories including Chambers Global and Legal 500, where clients note that his main strengths are his responsiveness and depth of knowledge and that he is very knowledgeable about Bermuda regulations and has a good working relationship with the Bermuda Monetary Authority.

Jennifer Simpson Carr: Welcome to the show, Chris. I often speak about using the power of social media to grow professional networks, and our meeting is certainly a testament to that. I had read an article that you wrote regarding AI and the transformation of law, and we had the opportunity to connect on Twitter and then by email. And, here we are together on the show today.

Chris Garrod: That was probably one of my very first articles. I had started my blog a while back and as a hobby. I think the first one I did was how were all going to rely on robots at some point in the future.

Jennifer Simpson Carr: Im glad to be talking about that to you today because the impact of technology in the legal profession comes up often in our conversations with clients and with referral sources. Before we dive into the discussion:

Im a director at Conyers Dill & Pearman Limited. Were the oldest and the biggest law firm on the island. Ive been practicing there for just over 25 years now in that corporate department. We have offices in Bermuda, BVI and Cayman. We also practice Bermuda, BVI and Cayman law. We have offices in Hong Kong, Singapore and London, and they practice all three laws as well in those offices. I do a mixture of reinsurance and corporate, and Im the head of the firms FinTech group.

Being a FinTech attorney, I must admit that Im a bit of a geek, and thats actually kind of how I got interested in things like artificial intelligence, just meeting people on social media and Twitter in particular and through FinTech. That was how I fell into AI and robotics and the Internet of things and machine learning.

Automation and artificial intelligence sometimes you hear them sort of mixed up in the same sentence and they are very different things. We use automation at Conyers now with automated tasks for legal opinions. In the past when I had to do a legal opinion, it was a question of printing out a document that was manual, marking it up with a pen and paper, and giving it to my assistant. Then, she would have to produce something for me, and Id have to then mark it up again and give it back to her and so on and so forth. It was a long-winded task.

Now, we have a system where lawyers are a lot more computer savvy. Youre entering information into the computer directly, and its very easy to do. Youre just popping in information and then all of a sudden, a document is produced and thats it, everything is completely automated. It requires a lot less reliance on an assistant; its far quicker. It applies to things like simple contracts, simple legal opinions, things in corporations and so on, things which used to require a lot more time now can be done in a more effortless way. Its a time-saving process.

Artificial intelligence, however, is really a layer upon our automation. Its a lot different. It is something which is far deeper. Its machine learning, deep learning. Its actually trying to mimic human intelligence. It is not just me putting information into a computer and its spitting out something. Its actually something along the lines of, Well, I need to get something to replicate what is going in my head. Its the actual knowledge thats kind of going through my mind, but its replicating that in some way, shape or form, in the legal sense, I suppose.

Thats something which were not currently doing right now, very few firms I would say are doing that right now. There is a firm Luminance. Its something that firms can outsource to. They are an AI-powered firm that collect tons of data, and firms will use them to produce contracts and so on. It is an extremely intensive process where loads of information enters their system. But that is an extreme process, which is not just an automated process.

Youre going to see robots one day, but its one level beyond automation. Machine learning is certainly something which I dont think many firms themselves would do internally. Maybe some of the big firms are already doing it, but certainly very few firms are doing it.

Its the input of data and then the output of data related to incorporations or simple contracts or drafting wills. You can go online and work out how to draft a will. Thats the thing, its actually just inputting data and then all of a sudden pressing enter and you will get a certain piece of information. Thats a document that comes out of it. Theres some concern that this will result in the loss of jobs.

Because were suddenly incorporating companies and producing all these legal opinions and were doing contract reviews and all this sort of stuff. As a result, are we cutting out jobs from people who are currently doing this for us? I believe were not going to be doing that.

People used to say, Look, when we have the interaction of robots in factories, for instance, all of the workers who worked in the factories would all of a sudden be made redundant and theyd lose their jobs. But no, in a lot of these industries the actual factory workers themselves ended up keeping their jobs, but they just were retaught and reskilled. They wanted to keep their jobs, and the employers wanted to keep working with these people.

Whats going to probably happen with the legal industry as well is that with artificial intelligence being ramped up more over time and with automation already being introduced, I think were going to see a lot more people being retaught and reskilled.

We dont want to lose employees. Im sure a lot of our employees dont want to leave us either, hopefully. But we can use those people and we want them to stay with us. Its just going to be a matter of reskilling. I think thats going to be the way forward with this industry.

In China theyve been using AI-powered apps for the purposes of courts, judgments, and all sorts of things. In the U.S., theyve been experimenting with artificial intelligence in courtrooms.

I think we shouldnt move too quickly in this space, particularly in artificial intelligence and the legal tech space. I think there are a lot of dangers if we move too quickly.

There are examples regarding things like facial recognition that we need to be mindful of. Because there have been studies where defendants who are minorities or who are non-whites are more likely to be found guilty than white defendants when facial recognition technology is involved.

Thats simply functional because the people who have programmed the actual artificial intelligence are predominantly white males. Whatever you put into this programming is whatever you get out of it. Data is only as unbiased as the heads and hands of its creators. We need to ensure that we are mindful of where were moving, especially in the courtroom.

In my field working as a corporate lawyer, it would be great if I one day have an AI robot to get me a cup of coffee or something along those lines. I would love that to happen in five years time. That is not going to happen anytime soon, but I also dont believe were going to have evil robots either. I dont think there will be evil, legal robots, unless we make evil, legal robots. I would hate to see an evil, legal robot or judge for that matter. Thats actually scary, unless you need an evil litigator. That would be a pretty fun day in the courtroom if that ever happened.

Jennifer Simpson Carr: The seats would be filled.

Chris Garrod: Ill be at the back of the room, thats for sure.

The limitations are, in my view, somewhat obvious. No matter what we think AI can do to help attorneys, the ultimate thing which AI really cant do is replicate empathy, where a human touch is going to be really required. People talk about AI like were going to have killer robots. But whatever you put in is going to be whatever comes out. Whoever is behind the technology is going to be what you get out of it.

As much as I would like to have a robot sitting next to me holding my hand saying, There, there, Chris. Its okay, its okay, its not going to happen for a number of years. But even if it was, it could very well grab my leg and say, This is not going to happen, Chris. Because the person behind it has basically programmed it to grab my leg and say, This is not going to happen, Chris.

You need that level of empathy. A robots not going to be able to replicate that because it has to be programmed. And its not a programmable technology now.

Thats the major limitation we have. I like to think that we always seem to have the human touch to whatever we do right now as lawyers in particular. Because I think its really important.

With the use of automation, were going to do things far more efficiently. Im going to be able to produce a legal opinion or any form of contract in a different format than the way Im doing now. Its just going to be inputting. Im still going to have to review the documents, which Im going to append upon, but the actual production of the contract itself is going to take up far less time. at some point in time.

When we hit a point when AI becomes sophisticated enough that we are producing stuff and clients are getting it, the time spent model will be unsustainable. Were going to have to ask clients, How do you want to be charged for this matter and how can we help you?

The whole point of artificial intelligence is not just to make our own lives easier as lawyers, but also for our clients. How do we make their lives easier from a service perspective? And if were not doing it correctly, then whats the point of even doing it?

I think from a lawyer standpoint, things could change as well. Every new trainee wants to work for one huge law firm. That could change in years to come. You may want to look at working for a more boutique small law firm, which just focuses on one particular aspect of law, because its far more nimble. It can move quickly, it can adapt. And you could also end up with a certain kind of a gig economy. You could have lawyers who basically end up being gig-type attorneys who work when they want and where they want.

There are going to be so many different models in the future, because automation and artificial intelligence opens up all sorts of doors. Im pretty excited about that, whether its in five years time or 10 years time or 50 years time.

Jennifer Simpson Carr: We already see that the generations of young lawyers coming up have grown up with technology. In order for law firms to remain competitive in attracting and retaining top talent, they really do need to evolve their stance on technology. For those of us that didnt get a cell phone until college

Chris Garrod: Or later in life

Jennifer Simpson Carr: Yes, and not a smartphone. It was a simple touch pad of numbers, right? These generations of lawyers coming up grew up with smartphones and grew up with this technology. Law firms will need to evolve and adapt technology in order to remain competitive, not only with their clients compared to what their competitors are doing, but also to retain the talent coming up. Because I do think weve seen the last couple of years that the work model has already changed. I agree with you that it will continue to do so just as these technologies evolve.

I trained two years at what was Denton Hall back then, and now is Dentons, I think its the biggest firm in the world now. The trainees were working as the cogs in a machine. They were paginating, sharing offices with mounds of paper around them. That was one of the reasons I actually came back to Bermuda, because I felt, Well, at least I can get my foot in the door and get started.

But I would say to people who are starting up in this process, keep an open mind. I feel like youre really lucky because this is a brand-new world. Youre entering into the brand-new legal world where you wont be just a cog in a machine. Youre going to have the ability to learn a lot more.

There was a good quote I actually came across on the Luminance website. It was by a partner, Gavin Williams of Holland & Knight. What he said was that AI basically allowed him to spend more time being a lawyer as opposed to being a detective. I thought thats great. I spend a lot of time looking for precedents, looking up things Ive done in the past, looking up all sorts of stuff until I find something.

Ten years from now, youll be able to just be a lawyer and you wont be a cog in this machine, youll be able to actually function as a lawyer. I would say, Look, you wont just be working in a firm which will be a dinosaur. You should hopefully be able to use your training and skills. And you wont just be that detective trying to look for information.

Youll be able to use those skills right away. Im so excited for future generations coming up right now, because theyre very lucky.

Id like to think that well get to a point where lawyers with free time, whether its because theyre not working in huge law firms, whether theyre gig attorneys, or whether theyre working in smaller boutique firms, will be able to help those who are underprivileged those who cant afford or dont have access to legal services and the ability to obtain legal advice.

They will now be able to get access to legal advice because there will be more gig attorneys who will have that flexibility to provide that kind of legal advice, or they will just be attorneys who are working for firms and will simply have more time to provide pro bono legal advice.

I will sometimes give pro bono legal advice on the side, but I dont have loads of time to do that. But as time frees up for more attorneys, they hopefully have more time to provide more pro bono advice to others. Thats something which is just a function of the way we can work. Thats something which we can hopefully encourage in junior attorneys as well as they come up in the system. Thats going to be another a benefit to society as a whole.

Jennifer Simpson Carr: There are so many great opportunities youve touched on, not only for junior attorneys who may be new to the profession, but also service to communities in need. I will drop a link to an interview that we conducted with an attorney who leads the efforts at a law firm for their pro bono support. And I think its a wonderful interview because it talks about not only the benefits to the pro bono clients, but the benefits to the attorneys internally who get the chance to work together, who otherwise arent on the same matters, and how that helps internal collaboration. Chris, thank you so much for joining me today. This has been a lot of fun. Im so glad we got to talk about the potential of robotic litigators in a courtroom. If that happens, were definitely going to have another interview together.

Chris Garrod: Thanks, Jennifer.

Listen to Episode 83: Cultivating Meaningful DE&I: The Positive Impact of Pro Bono with Thomas McHugh of Bressler Amery & Ross

Chris Garrod

Learn more about Chris Garrod

Twitter: @ChrisGGarrod

LinkedIn: https://www.linkedin.com/in/chrisggarrod/

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The Impact of Artificial Intelligence on Law with Chris Garrod, Director of Insurance and Technology at Conyers Dill & Pearman - JD Supra

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Artificial intelligence in auto insurance will give more power to car owners – Automotive News Europe

We are witnessing an exciting time in the automotive industry.

As innovation is reaching new heights with connected and autonomous vehicles, the auto insurance industry is also experiencing its own evolution, using technology to enhance the way road accidents and damages are handled, saving people time and money and improving the often stressful experiences of handling the aftermath of accidents.

A transformation is badly needed in the insurance industry.

In addition to poor customer experiences when making claims, some $25 billion goes unaccounted for each year due to adjuster costs, fraud, delays in repair shops and more. Innovation can change that -- and it is already starting to.

Insurers -- like some car companies now do -- need to think of themselves as technology companies, embracing more AI and data, and also more seamless customer experiences. This is especially importance since insurers will likely have an even deeper relationship with automakers once cars can drive autonomously, at which point the auto company takes responsibility if there is an accident.

These innovations can save time and money while improving transparency, accuracy and efficiency, which are all important to improving the customer experience.

AI and computer vision are among the technologies that can offer the most impact, and their use in growing in insurance. Mobile phone cameras can scan cars after accidents, replacing insurance adjusters in assessing collision damages, making the process faster and more objective.

The next step, now emerging, is using AI and computer vision to automatically generate not just records of damage, but also estimates for how much that damage will cost to repair.

This works by having an expansive database of parts and prices where estimates can be generated when a photo of the damage is uploaded. This puts the power into the hands of the driver or vehicle owner, and takes it out of the repair shops that have for decades relied on the mentality that if the insurance company is paying for it, we can charge as much as we want -- resulting in bloated costs for all parties involved.

If consumers can eventually do this entire process themselves -- not only record damage with their phone cameras, but upload it to their insurance company's platform, and get an instant estimate for the cost of repair -- this would save insurance companies time and money, resulting in lower premiums while empowering the consumer in ways we have yet to see.

Eventually, as cars become more connected and software-based with more sensors, repair costs could be automatically generated by the car's operating system communicating with a digital insurance platform at the time of the car crash. While not available yet, the technology is quickly heading in this direction.

Telematics, which uses GPS devices to track a car's location, distances driven and other factors such as speed, has already led to individual policy pricing. Drivers who demonstrate safer habits can get lower prices on insurance coverage, or, under some plans, just pay for insurance coverage when their car is in use and not while it is sitting in the driveway.

Other data, much of it currently going by the wayside in roadside cameras and sensors, onboard sensors and other IoT devices plus text like accident reports and past claims, promises to add even more information that insurance companies can leverage.

By eventually structuring this data into a usable form that can be analyzed, AI will be even more powerful in determining risk profiles and helping set more exact and personalized policy pricing.

Privacy is also important and insurers will need to make sure to have policies that protect the privacy of their customers who are providing them with an influx of data. In addition to abiding by privacy policies, like GDPR (General Data Protection Regulation), insurers will need to offer benefits, like premium discounts or coupons, to those who share their data.

Now is the time for insurance companies to take advantage of increasing AI and data abilities to prioritize customer experience.

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Artificial intelligence in auto insurance will give more power to car owners - Automotive News Europe

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IRIS Hybrid Speaker offers interactive artificial intelligence and illumination – Yanko Design

Most Italian designers definitely know how to combine form and function. Italians often come up with aesthetically pleasing products that are compatible with the environment and the IRIS Hybrid Speaker is no different.

For the home, we desire new items that are not only powerful but also pleasing to the eyes. Perhaps the easiest to shop for is the entertainment system. We have seen several audio devices already, but well never get tired of checking whats out there. There are a lot of concept designs available, and were hoping some of them will get into production.

Designers: Alessandro Pennese and Alessandro Brintazzoli

The IRIS Hybrid Speaker could be the next music device youd be displaying and using at your home. It fits most interiors that are minimalist yet high-tech. It is designed as an intelligent speaker, ready to offer voice assistance so you can control your other smart home devices or simply make quick conversations.

The IRIS Hybrid Speaker will remind you of donuts because of their shape. There appears to be a paper clip-like handle on the back. The handle allows you to place the speaker almost anywhere.

The speaker portion easily slides on the handle. Thats made possible because of the tracks that allow easier grip and slide. The donut speaker is covered by fabric while a metal bezel surrounds it. The bezel also functions as volume control for the speaker.

The unique design of the IRIS Hybrid Speaker will make you want to display it. You dont have to hide or keep it less noticeable. Instead, you should celebrate and show it off because of the outstanding design that allows it to become an essential part of the home.

An audio device can be part of the living room or any room without overwhelming. The IRIS speaker makes it easier for anyone to decorate the home. It is expected to come with functions that will adequately help in-home space management. It can also be a light source as it functions as a lamp to add to mood lighting and create a more cozy atmosphere.

The IRIS Speaker is imagined to come with interactive artificial intelligence. Its more like smart furniture that offers different functions. Its a fun iteration of a smart speaker technology that provides lighting and works as home decor. The speakers back shell is matte plastic, while the front is fabric. The rear shell doesnt scratch as it can smoothly slide along the tracks. This is to mainly control the LED lights brilliance and

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IRIS Hybrid Speaker offers interactive artificial intelligence and illumination - Yanko Design

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NVIDIA Federal VP Anthony Robbins Selected to 2022 Wash100 for Stewarding New Era of Artificial Intelligence in US Government – ExecutiveBiz

Executive Mosaic is pleased to selectAnthony Robbins, vice president ofNVIDIAs federal arm, as a recipient of the 2022 Wash100 Award, which annually recognizes the top figures in the government contracting community for their impacts across the federal landscape.

This marks Robbins fifth Wash100 selection and represents his commitment to ushering in an era of artificial intelligence-powered transformation within the federal government.

VisitWash100.com to cast your vote for NVIDIAs Anthony Robbins as your favorite GovCon leader and to learn more about the awards nine-year history.

Growth in the artificial intelligence space continues to accelerate unabated, along with the rapidly tightening fabric of relationships that Anthony Robbins of NVIDIA has been weaving throughout the federal sector and government contracting, commentedJim Garrettson, CEO ofExecutive Mosaic and founder of the Wash100 Award. Anthonys prolific social networking efforts and educational thrust toward the marketplace have helped to position NVIDIA as a true pioneer of edge processing, artificial intelligence, cloud enablement and algorithm development. He has played a key role in elevating our national security at the agency and legislative levels.

Garrettson continued, In addition to national defense, homeland security and intelligence, Anthony has helped leverage the colossal strength of NVIDIAs algorithmic solutions to support forest fire mitigation, digital twin modeling in the Omniverse and health care, to name only a few.

Anthony Robbins has long been an advocate for the use of AI in critical government infrastructure and processes. Robbins said the Department of DefensesJoint Artificial Intelligence Center, known as JAIC, aims to tie together disparate AI-related efforts across the public sector to allow for better collaboration and quicker problem-solving capabilities.

He told Federal News Network in February 2021 that JAIC is offering predictive maintenance, consultancy services, and other testing and evaluation services to help the Pentagon scale its AI adoption.

In April 2021, NVIDIA launched its central processing unit,NVIDIA Grace, which was designed to manage high-performance computing and AI workloads at data centers. The U.S. Department of Energys Los Alamos National Laboratory adopted and integrated the NVIDIA Grace CPU into Hewlett Packard Enterprises supercomputing machines for scientific research.

In the same month, NVIDIA announced itsMorpheus cloud-native cybersecurity framework which uses machine learning to detect and prevent cybersecurity attacks in real-time while protecting organizations data centers.

The U.S. Postal service implemented a distributed edge AI system onNVIDIAs EGX platform to help optimize the process of identifying and tracking packages. The platform, known as the Edge Computing Infrastructure Program, was born out of a collaboration between USPS data scientists and NVIDIA architects who teamed up to design deep learning models that could analyze a massive amount of images and packages more efficiently.

The federal government has been for the last several years talking about the importance of artificial intelligence as a strategic imperative to our nation, and as an important funding priority, Robbins said. And this is one of the few enterprise-wide examples of an artificial intelligence deployment that I think can serve to inspire the whole of the federal government.

NVIDIA is also helping the federal government to better predict, mitigate andaddress wildfires using AI and digital twin modeling technology. NVIDIA is working collaboratively with Lockheed Martin to help the Department of Agricultures Forest Service and the Colorado Division of Fire Prevention and Control manage wildfires that pose increasingly frequent and severe threats across the U.S.

Lockheed Martin and NVIDIA will continue to collaborate, both physically and within the digital twin environment, to develop and mature CMM [Cognitive Mission Manager], Robbins said. One day, uncrewed aerial vehicles will rapidly respond to and suppress emerging wildfires.

The NVIDIA-Lockheed partnership also has plans to establish a Silicon Valley-based AI development laboratory to accelerate this effort.

NVIDIA continued its commitment to sustainability and environmental issues through the launch of its platform forscientific digital twins in March 2022. The platform, consisting of NVIDIAs Omniverse and Modulus AI framework, accelerates physics machine learning models in scientific computing and engineering use cases.

Robbins is also an active participant in multiple philanthropic efforts, including the U.S. Marine Corps Toys for Tots program, which collects and distributes Christmas gifts to underprivileged children. He told GovCon Wire in aGovCon Executives Who Care spotlight that the challenges his mother had to overcome in the workforce inspired him to get involved in the program.

As an adult, having been so fortunate to have worked for great companies and being in a community with so much, I am reminded daily were also in a community with many who are perhaps less fortunate, he told GovCon Wire.

I have found that contributing to the program allows me to give back to our community, and perhaps put smiles on the faces and in the hearts of so many wonderful children, Robbins added.

Executive Mosaic congratulates Anthony Robbins and the NVIDIA team on their selection to receive the 2022 Wash100 Award, and we look forward to their continued progress in the federal governments AI-fueled transformation.

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NVIDIA Federal VP Anthony Robbins Selected to 2022 Wash100 for Stewarding New Era of Artificial Intelligence in US Government - ExecutiveBiz

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The Worldwide Connected Mining Industry is Expected to Reach $23.6 Billion by 2027 – PR Newswire

DUBLIN, April 4, 2022 /PRNewswire/ -- The "Connected Mining Market by Component (Solutions, Services), Solution (Asset Tracking and Optimization, Fleet Management), Service (Professional, Managed), Mining Type (Surface, Underground), Application, Deployment Mode & Region - Global Forecast to 2027" report has been added to ResearchAndMarkets.com's offering.

The publisher forecasts the Connected Mining Market size to grow from USD 12.7 billion in 2022 to USD 23.6 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 13.3% during the forecast period.

The Solution segment to record the highest market share during the forecast period

In the Connected Mining Market by Component, solutions are expected to hold the largest market size. The connected solutions refer to the deployment of IoT solutions in the mining industry. These solutions are primarily aimed at achieving the convergence of machines and intelligent data to achieve the operational efficiency targets set by energy companies. connected solutions in mining sector also improvise analytics-based decision-making by diminishing the threats and vulnerabilities of the market using efficient tools and techniques. Moreover, connected mining solutions have enabled energy companies to control assets from anywhere to monitor their asset performance.

The Asset tracking and optimization segment to record the highest market share during the forecast period

In the Connected Mining Market by Solutions, the asset tracking and optimization segment is expected to record a larger market share during the forecast period. Asset tracking solutions do track mining assets, automating processes, and constantly monitoring the quality and safety of the mining environment. This helps ensure the mine and workers are efficient and productive. It involves tracking of mining vehicles in real-time, including GPS location, engine hours, mileage, geofences, and fuel consumption. To track underground mining assets while reducing costs, Real-Time Location Systems (RTLS), RFID tracking, Wi-Fi, sensors, mobile devices, software, and other technologies are used to gain full visibility of underground mining operations. The solution offers improved worker safety by tracking mine workers, monitoring entrances/exits and evacuation status, and receiving alerts.

The Professional Service segment to record the highest market share during the forecast period

In the Connected Mining Market by Service, Professional service segment is expected to hold a larger market share in 2027. Professional services consist of consulting services, system integration services, and support and maintenance. Consulting services primarily focus on managing the business operation revolution programs and the latest technology updates to help the client achieve strategic business goals through technical and business improvements. Integration is the process of connecting different subsystems or components into a single larger system, enabling it to work as a single IoT system. Integration and deployment services consolidate different technology products and applications, including legacy platforms, and can significantly reduce IT-related complexities and maximize the firm's RoI. Support and maintenance services category includes 24*7 customer support services, repair and exchange services, version maintenance, bug fixes, technical updates, license upgrades, proactive, and training services.

Cloud segment expected to have a higher growth rate during the forecast period

By Deployment mode, cloud segment is expected to lead the market during the forecast period. Cloud computing is one of the most effective technologies today, and it has impacted every line of business. In this deployment mode, connected mining solutions are delivered through the cloud. The advantages of deploying cloud-based mining solutions include scalability, speed, 24x7 service, enhanced IT security, affordability, operational efficiency, flexibility, and low costs. The overall adoption of cloud-based solutions is growing at a good pace, and the trend is expected to increase during the forecast period. Cloud platforms are new emerging development to track health of assets.

The Exploration segment to record the highest market share during the forecast period

By Application, exploration segment is expected to hold a larger market share during the forecast period. Exploration in the mining industry is a series of activities used to analyze or identify the availability of minerals and metals such as coal, ore, diamond, oil, and gas, under the ground. This process involves mapping, surveying the ground, testing water and soil quality, and drilling. Today, the exploration process in the mining industry is rapidly adopting technological, automotive, and digitalized solutions. Modern explorational techniques are greatly driven by technological solutions and various companies and government bodies are heavily investing in exploration technologies. Since 1950's to 1980's, exploration in mining has shown a rapid growth and remarkable success. The exploration industry observed few challenges in the last few years and their expenditure has also been increased due to some reasons such as new mines needed to locate at a high depth, minerals are available in location with large geoscience complexities, and others. With the increasing cost of exploration at high-risk organizations are becoming cautious and more dependent on geographic information. However, various technologies such as IoT, big data, and analytics, have adopted by miners to access reliable information of mine sites. Wipro helped Vedanta by providing real-time visibility in 890 production parameters and 708 quality parameters of its refinery unit.

Asia Pacific is expected to have a higher growth rate during the forecast period

Asia Pacific is expected to hold the largest market size in the global Connected Mining Market during the forecast period. In Asia Pacific, China, India, Indonesia, Papua New Guinea (PNG), and the Philippines are expected to drive the market with China as the most potential player in smart mining initiatives. India can be considered to be the next high potential preference for the major global connected mining market vendors as the country has increasing demand for minerals. New investments will drive the Indian market, following the country's ambitious target of adding USD 210 billion from the mining and mineral sectors to the country's GDP by 2050. The increase in production capacities in the region is driven by investment programs. This region is witnessing a high rate of adoption of technologies, such as operational analytics and data processing, remote monitoring, and mine safety systems.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights4.1 Brief Overview of the Market4.2 North America: Market, Top Three Solutions and by Mining Type4.3 Europe: Market, Top Three Solutions and by Mining Type4.4 Asia-Pacific: Market, Top Three Solutions and by Mining Type

5 Market Overview and Industry Trends5.1 Introduction5.2 Market Dynamics5.2.1 Drivers5.2.1.1 Mining 4.0 Initiatives in Industries, Paving the Way for Connecting Mining5.2.1.2 Need to Reduce Cost and Achieve Operational Efficiency to Boost the Adoption of Connected Mining Solutions5.2.1.3 Increasing Adoption of IoT to Accelerate the Use of Digital Solutions to Develop Connected Mines5.2.1.4 to Enhance the Safety and Security of Mine Workers5.2.2 Restraints5.2.2.1 Depletion of Natural Resources5.2.3 Opportunities5.2.3.1 Increasing Demand for Digitalization to Boost the Market5.2.3.2 Need of Metals and Minerals to Increase the Demand for Connected Mining Solutions5.2.3.3 Emerging 5G Technology to Help Connected Mining Adoption Globally5.2.4 Challenges5.2.4.1 Shortage of Skilled Labor5.2.4.2 Integrating Information Technology with Operational Technology5.3 COVID-19 Market Outlook for the Market5.4 Value Chain Analysis5.5 Ecosystem5.6 Porter's Five Forces Model5.7 Patent Analysis5.8 Pricing Analysis5.9 Technology Analysis5.10 Key Conferences and Events in 2022-20235.11 Regulations Landscape5.12 Case Study Analysis5.12.1 Case Study 1: Implementation of Accenture Life Safety Solution to Achieve Operational Efficiency5.12.2 Case Study 2: Shell and IBM Developed Oren to Support Digital Transformation for the Mining Industry5.12.3 Case Study 3: Significant Growth in the Production Capacity Has Been Observed with the Help of Hitachi Machinery5.12.4 Case Study 4: Deployment of Cisco's Connected Mining Solutions to Support Digital Transformation5.12.5 Case Study 5: Deployment of Velocity Ehs to Improve Safety Standards5.13 Key Stakeholders and Buying Criteria5.13.1 Key Stakeholders in Buying Process5.13.2 Buying Criteria

6 Connected Mining Market, by Component6.1 Introduction6.2 Solutions6.2.1 Solutions: Market Drivers6.2.2 Solutions: COVID-19 Impact6.3 Services6.3.1 Services: Market Drivers6.3.2 Services: COVID-19 Impact

7 Connected Mining Market, by Solution7.1 Introduction7.2 Asset Tracking and Optimization7.2.1 Asset Tracking and Optimization: Market Drivers7.2.2 Asset Tracking and Optimization: COVID-19 Impact7.3 Fleet Management7.3.1 Fleet Management: Connected Mining Market Drivers7.3.2 Fleet Management: COVID-19 Impact7.4 Industrial Safety and Security7.4.1 Industrial Safety and Security: Market Drivers7.4.2 Industrial Safety and Security: COVID-19 Impact7.5 Workforce Management7.5.1 Workforce Management: Market Drivers7.5.2 Workforce Management: COVID-19 Impact7.6 Analytics and Reporting7.6.1 Analytics and Reporting: Connected Mining Market Drivers7.6.2 Analytics and Reporting: COVID-19 Impact Drivers7.7 Process Control7.7.1 Process Control: Market Drivers7.7.2 Process Control: COVID-19 Impact7.8 Other Solutions7.8.1 Other Solutions: Market Drivers7.8.2 Other Solutions: COVID-19 Impact

8 Connected Mining Market, by Service8.1 Introduction8.2 Professional Services8.2.1 Professional Services: Market Drivers8.2.2 Professional Services: COVID-19 Impact8.2.3 Consulting8.2.4 Integration and Deployment8.2.5 Support and Maintenance8.3 Managed Services8.3.1 Managed Services: Market Drivers8.3.2 Managed Services: COVID-19 Impact

9 Connected Mining Market, by Application9.1 Introduction9.2 Exploration9.2.1 Exploration: Market Drivers9.2.2 Exploration: COVID-19 Impact9.3 Processing and Refining9.3.1 Processing and Refining: Market Drivers9.3.2 Processing and Refining: COVID-19 Impact9.4 Transportation9.4.1 Transportation: Market Drivers9.4.2 Transportation: COVID-19 Impact

10 Connected Mining Market, by Deployment Mode10.1 Introduction10.2 On-Premises10.2.1 On-Premises: Market Drivers10.2.2 On-Premises: COVID-19 Impact10.3 Cloud10.3.1 Cloud: Market Drivers10.3.2 Cloud: COVID-19 Impact

11 Connected Mining Market, by Mining Type11.1 Introduction11.2 Surface11.2.1 Surface: Market Drivers11.2.2 Surface: COVID-19 Impact11.3 Underground11.3.1 Underground: Market Drivers11.3.2 Underground: COVID-19 Impact

12 Connected Mining Market, by Region

13 Competitive Landscape13.1 Overview13.2 Market Evaluation Framework13.3 Key Player Strategies13.3.1 Product Launches13.3.2 Deals13.4 Market Share Analysis of Top Players13.5 Historical Revenue Analysis13.6 Company Evaluation Matrix Overview13.6.1 Company Evaluation Matrix Methodology and Definitions13.6.2 Star13.6.3 Emerging Leaders13.6.4 Pervasive13.6.5 Participants13.7 Company Product Footprint Analysis13.8 Company Market Ranking Analysis13.9 Startup/SME Evaluation Matrix Methodology and Definitions13.10 Competitive Benchmarking13.10.1 Progressive Companies13.10.2 Responsive Companies13.10.3 Dynamic Companies13.10.4 Starting Blocks

14 Company Profiles14.1 Major Companies14.1.1 Cisco14.1.2 IBM14.1.3 Accenture14.1.4 Caterpillar14.1.5 ABB14.1.6 Sap14.1.7 Schneider Electric14.1.8 Komatsu14.1.9 Hexagon14.1.10 Rockwell Automation14.1.11 Trimble14.1.12 Hitachi Construction Machinery14.1.13 Ptc14.1.14 Eurotech Communication14.1.15 Getac14.1.16 Siemens14.1.17 Howden14.1.18 Wipro14.1.19 Mst Global14.1.20 GE Digital14.2 Startup/SMEs Players14.2.1 Zyfra14.2.2 Axora14.2.3 Groundhog14.2.4 Smartmining14.2.5 Applied Vehicle Analysis14.2.6 Symboticware14.2.7 Intellisense.io

15 Adjacent Market

16 Appendix

For more information about this report visit https://www.researchandmarkets.com/r/kmgcyq

Media Contact:

Research and Markets Laura Wood, Senior Manager [emailprotected]

For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

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SOURCE Research and Markets

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Filings buzz in the mining industry: 13% decrease in digitalisation mentions in Q4 of 2021 – Mining Technology

Mentions of digitalisation within the filings of companies in the mining industry fell 13% between the third and fourth quarters of 2021.

In total, the frequency of sentences related to digitalisation during 2021 was 538% higher than in 2016 when GlobalData, from which our data for this article is taken, first began to track the key issues referred to in company filings.

When companies in the mining industry publish annual and quarterly reports, ESG reports, and other filings, GlobalData analyses the text and identifies individual sentences that relate to disruptive forces facing companies in the coming years. Digitalisation is one of these topics companies that excel and invest in these areas are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.

To assess whether digitalisation is featuring more in the summaries and strategies of companies in the mining industry, two measures were calculated. Firstly, we looked at the percentage of companies that have mentioned digitalisation at least once in filings during the past 12 months this was 61% compared to 29% in 2016. Secondly, we calculated the percentage of total analysed sentences that referred to digitalisation.

Of the 10 biggest employers in the mining industry, Sibanye-Stillwater was the company that referred to digitalisation the most during 2021. GlobalData identified 109 digitalisation-related sentences in the South Africa-based company's filings 0.6% of all sentences. Nippon Steel mentioned digitalisation the second most the issue was referred to in 0.5% of sentences in the company's filings. Other top employers with high digitalisation mentions included Honeywell, ThyssenKrupp, and Mitsubishi.

Across all companies in the mining industry, the filing published in the fourth quarter of 2021 that exhibited the greatest focus on digitalisation came from Orica. Of the document's 2,315 sentences, 20 (0.9%) referred to digitalisation.

This analysis provides an approximate indication of which companies are focusing on digitalisation and how important the issue is considered within the mining industry, but it also has limitations and should be interpreted carefully. For example, a company mentioning digitalisation more regularly is not necessarily proof that they are utilising new techniques or prioritising the issue, nor does it indicate whether the company's ventures into digitalisation have been successes or failures.

In the last quarter, companies in the mining industry based in Eastern Europe were most likely to mention digitalisation with 0.6% of sentences in company filings referring to the issue. In contrast, companies with their headquarters in the US mentioned digitalisation in just 0.09% of sentences.

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Sphere 3D Corp. and Gryphon Digital Mining, Inc. Move Forward After Mutual Agreement Not to Proceed With Merger – Business Wire

TORONTO, Ontario--(BUSINESS WIRE)--Sphere 3D Corp. (Nasdaq: ANY), (Sphere 3D) and Gryphon Digital Mining, Inc. (Gryphon), cryptocurrency mining companies dedicated to growing mining operations with a net carbon-neutral impact, have mutually agreed to terminate their merger agreement announced on June 3, 2021, and as amended on December 29, 2021.

After careful consideration by both management teams and their respective boards of directors, the parties amicably agreed to the termination due to changing market conditions, the passage of time, and the relative financial positions of the companies, among other factors. The companies will continue their relationship through the previously disclosed Master Services Agreement (MSA), enabling Sphere 3D to leverage Gryphons expertise in bitcoin mining and Gryphon to generate additional operating income through the management of Sphere 3Ds mining fleet. Both companies can now focus on their strategic opportunities to drive growth for their respective shareholders.

Sphere 3Ds net-carbon neutral bitcoin mining operation continues to grow with 1,000 miners currently operational and the anticipated delivery of 2,000 S19j Pro miners in May 2022 and an additional 2,000 S19j Pro miners in June 2022. Deliveries of the remaining 55,000 S19j Pro miners are expected to be received by year-end 2022. As previously announced, Sphere 3Ds mining fleet will remain managed by Gryphon and primarily collocated with Core Scientific.

Gryphon continues to roll out its net carbon-neutral bitcoin mining operation, with two-thirds of its 7,200 S19j Pro self-mining operation deployed as of March 31, 2022. The MSA enables Gryphon to earn additional hashrate exposure of 1.35 exahash through the management of Sphere 3Ds 6.0 exahash mining fleet, creating Gryphons expected effective unlevered total hashrate from self-mining and MSA operations of approximately 2.1 exahash of bitcoin mining power by year-end 2022.

Sphere 3D remains committed to building a premier industrial mining operation and already has 6.0 EH/s of capacity under contract for deliveries this year. We are well-positioned to execute on this vision, said Duncan McEwan, Chairman of Sphere 3D. The Board has worked closely with our management team, and after extensive discussions, it became clear that shareholders would realize greater value if the companies operated independently as opposed to a merged entity. We look forward to working closely with the Gryphon team to combine our expertise and realize the immense value of the bitcoin network for our shareholders.

Rob Chang, CEO at Gryphon Digital Mining added, As a pending shareholder and operating partner of Sphere 3D, we look forward to the mutual success of both companies. With a substantial unlevered total hashrate from our self-mining and MSA operations, Gryphon is well-positioned as it already ranks among the leading bitcoin miners in the world.

About Sphere 3D Corp

Sphere 3D Corp. (Nasdaq: ANY) is a net carbon-neutral cryptocurrency miner with decades of proven enterprise data-services expertise. The Company is rapidly growing its industrial-scale mining operation through the capital-efficient procurement of next-generation mining equipment and partnering with best-in-class data center operators. Sphere 3Ds mining operation currently has 1,000 S19j Pro miners operating, expects delivery of 4,000 more in the second quarter of 2022 and 55,000 additional S19j Pro miners by year-end 2022. Sphere 3D has approximately 6.0 EH/s of capacity under contract for deliveries this year. Sphere 3D is dedicated to growing shareholder value while honoring its commitment to strict environmental, social, and governance standards. For more information about the Company, please visit Sphere3D.com.

About Gryphon Digital Mining

Gryphon Digital Mining is an innovative venture in the cryptocurrency space dedicated to helping bring digital assets onto the clean energy grid. With a talented leadership team coming from globally recognized brands, Gryphon Digital is assembling thought leaders to improve digital asset network infrastructure. Its Bitcoin mining operation has a net carbon-negative footprint, and the companys long-term strategy is to be the first vertically integrated crypto miner with a wholly-owned, 100 percent renewable energy supply. More information is available on https://gryphondigitalmining.com/.

Forward-Looking Statements

This communication contains forward-looking statements within the meaning of Section 27A of the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended. Forward-looking statements generally relate to future events, including the timing of the proposed transaction and other information related to the proposed transaction. In some cases, you can identify forward-looking statements because they contain words such as may, will, should, expects, plans, anticipates, could, intends, target, projects, contemplates, believes, estimates, predicts, potential or continue or the negative of these words or other similar terms or expressions. Expectations and beliefs regarding matters discussed herein may not materialize, and actual results in future periods are subject to risks and uncertainties that could cause actual results to differ materially from those projected. The forward-looking statements contained in this communication are also subject to other risks and uncertainties, including those more fully described in filings with the SEC, including Sphere 3Ds registration statement on Form F-4, reports filed on Form 20-F and Form 6-K and in other filings made by Sphere 3D with the SEC from time to time and available at http://www.sec.gov. These forward looking statements are based on current expectations, and with regard to the proposed transaction, are based on Sphere 3Ds and Gryphons current expectations, which are subject to change.

No Offer or Solicitation

This communication shall not constitute a solicitation of proxy, an offer to sell, the solicitation of an offer to sell or an offer to buy or the solicitation of an offer to buy any securities, nor shall there be any sale of securities in any jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such jurisdiction. No offer of securities shall be made except by means of a prospectus meeting the requirements of Section 10 of the Securities Act of 1933, as amended.

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Creating databases to help cure diseases worldwide – University of Georgia

Jessica Kissinger never set out to make databases. From the time she was a little girl, she wanted to be a biologist.

Today, the University of Georgia professor not only studies deadly pathogens like malaria and Cryptosporidium (a waterborne parasite), but also is a driving force behind worldwide, groundbreaking collaborations on novel databases. During her time at UGA, she has received nearly $40 million in federal and private grants and contracts.

These databases can crunch vast amounts of biological information at warpspeed and reveal important patterns that pave the way for new approaches to scourges such as Leishmania (common in the tropics, subtropics, and southern Europe), toxoplasmosis (a systemic disease due to one of the worlds most common parasites), and Valley Fever (a fungus born on the wind that can cause lung and systemic infections). Novel drug and vaccine targets can be developed, as well as fresh insights on life-threatening pathogens.

Fighting infections and developing new drug and vaccine targets requires detailed knowledge of a pathogen and how it functions, explained Kissinger, a Distinguished Research Professor in UGAs Department of Genetics, Institute of Bioinformatics and Center for Tropical and Emerging Global Diseases.

And, like internet searches, the databases are all free. Kissinger said its likely that pharmaceutical companies are mining some of the information in their quest to discover new therapeutic targets.

They dont tell us what theyre working on, she said. A database itself doesnt produce a cure. A database can, however, remove most barriers to analysis of existing data.

It once took an entire decade to sequence a single genomeand the cost was many millions. Today, researchers can sequence a genome in a single afternoon for a few thousand dollars, transforming the field of genomics. Similar astounding advances have reshaped other omics specialties, such as proteomics (study of proteins), metabolomics (study of metabolism), transcriptomics (study of RNA), and epigenomics (the influence of the environment on gene function). These advances mark the Big Data era in biology.

The power that is unleashed by big data is phenomenal, said Kissinger, and its a very exciting time in history, with major funders and visionaries all across the world forming consortia to create a kind of ideal data universe. Like explorers trekking into a new world, they will make discoveries we might only imagine right now.

Kissingers innovations began over 23 years ago, while she was a postdoctoral researcher at the University of Pennsylvania studying a single-celled parasite called Toxoplasma gondii. The parasite shares some important features with the malaria pathogen, whose genome was in the process of being sequenced.

I rounded up genome data from all over the world on Plasmodium (the causative agent of malaria), and ran analyses and put it on a website, so I could study the genes it might share with Toxoplasma, she recalled. It turns out nobody had made the Plasmodium data available for searching before.

Soon she and her adviser, David Roos, had a million-dollar grant to formally establish a malaria database, PlasmoDB, and since its launch in 1999 it has grown to include additional pathogens and received continual funding from the NIH, the most recent for up to $38.4 million to maintain what has now become the Eukaryotic Pathogen, Vector and Host Informatics Resources knowledgebase (VEuPathDB), covering 14 different pathogens as well as host responses to infections. This comprehensive database is an integrated centralized resource for data mining on over 500 organisms.

The databases collectively contain over nine terabytes (9,000 gigabytes) of data, and have been compared to a Wikipedia for molecular parasitology by the British Society for Parasitology, which noted back in 2006: We dont know what we would do without it!

Each month, VEuPathDB receives over 11 million hits from an average of 36,000 unique visitors in more than 100 countries, including India, Brazil and Kenya. A related database on vectors of disease (such as ticks that carry Lyme disease) was recently merged into VEuPathDB. The merger expanded each resource and enables researchers to better explore data on vectors such as ticks and mosquitoes and the pathogens they transmit.

The databases are not just strings of numbers or words. They allow visualizations and graphic interfaces. Already, research is emerging that can help direct vaccine and drug development away from proteins that hosts and pathogens share, in order to protect the cell. Scientists using the databases have discovered proteins that reduce severe malaria and other proteins that protect malaria parasites from the human fever response. They have also found proteins that help Toxoplasma penetrate host cells.

In a single year an average of 200 publications a month cite VEuPathDB, and to date there have already been 24,000 citations total. Next up: cloud-ready applications and improved integration with yet other databases. These databases have become essential data mining and access platforms for fungal and parasite genomics research, said microbiologist and plant pathologist Jason Stajich of the University of California at Riverside.

Without powerful, user-friendly tools to analyze it, Big Data is more a curse than a blessing, explained John Boothroyd, an immunologist and microbiologist at Stanford University School of Medicine. VEuPathDB is just such a tool and we owe Jessica Kissinger and her colleagues an enormous thank you for their tireless and selfless efforts to first conceive and then continuously improve this absolutely essential resource.

Grants for related projects have come from a wide array of organizations, among them the Bill & Melinda Gates Foundation, the Sloan Foundation, and the World Health Organization. One of those projects, called ClinEpiDB, is home to a multicenter study that contains data from over 22,000 children from seven different sites in South Asia and Africa. This study is the largest ever to investigate the causes of diarrhea in children in lower- to middle-income countries. Other uses of ClinEpiDB include new data on hidden signs of malaria transmission in areas where incidence is declining, or how breastfeeding protects infants from common infections.

The VEuPathDB database would be enough to secure Kissingers reputation in the biological sciences, but she has not stopped there. At the University of Georgia, she was a founding member of the Institute of Bioinformatics, and served as its director from 2011 to 2109. The Institutes mission is to facilitate cutting-edge interdisciplinary research in computational biology, and the program offers both masters and doctorates. She is a key researcher helping to partner a national hub for infectious disease research by linking with Emory University in Atlanta. The two institutions have grants totaling over $45 million to work on everything from tuberculosis to HIV to malaria.

These databases are a success beyond my wildest dreams, said Kissinger. They are made by biologists for other biologists and address a real-life need.

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GEM-TRX The Best Cloud Mining Tron (TRX) Services in 2022 – Analytics Insight

GEM-TRX has emerged as the industrys favorite cloud mining service in 2022

Cryptocurrency cloud mining has been developed as a way to mine crypto by using rented cloud computing power without having to deal with the technical know-how of installing or running any hardware directly yourself. People can easily participate in crypto mining by opening an account on a cloud mining service and renting hash power for a minimal cost. As such, cloud mining companies have made mining much more accessible and profitable for a wide group of people.

Mining can be a tedious process that can be time-consuming and expensive for an individual. Cloud mining services like GEM-TRX make it easy for users to break into the industry without having to deal with all the technical issues that come with setting up their own mining farm. Cloud mining companies provide a dashboard that makes the mining process extremely easy, with a few clicks.

GEM-TRX was launched in 2018 and is one of the leading TRX cloud mining service providers. The purpose of this company is to maximize the interests of each user, so they can leverage large wealth with relatively low capital. Invest once, enjoy forever, thats why all options are recognized and followed by GEM-TRX. Through future data analysis, users should understand that GEM-TRX pursues long-term strategic cooperative relationships with users, which is the reason theyve grown to over 1 million members at this time. Launched in 2018, GEM-TRX is a cloud mining service built on the Tron network. It provides users with a safe, convenient, and efficient TRX cloud mining experience. Users can visit the official GEM-TRX website and register for an account with ease.

The company enables users to mine the TRX cryptocurrency with a low-cost cloud service. Whether its quantitative trading or DeFi technology, GEM-TRX makes it easy to participate in the blockchain revolution with its cloud mining services. To start cloud mining with GEM-TRX, users can visit their website, register with an email, deposit TRX and the service will automatically start mining the TRX cryptocurrency for you.

GEM-TRX features an affiliate program for users that will reward them with extra rewards. You can invite users by sending your own invitation code by clicking the Share button on the platform and copy-pasting the link and sharing it via social media.

If users invite friends who deposit funds to their accounts they will receive rebates. Below is the complete breakdown of the various levels and rebates users can accumulate:

You invite level 1 users and if they complete registration, youll get 30TRX.

Level 1 user invites level 2 user and completes registration, youll get 20TRX.

Level 2 user invites level 3 user and completes registration, youll get 10TRX.

Deposit Rebate: Based on your down-line deposit amount per time.

Level 1 user deposit 1000TRX, youll get 120TRX(12%)

Level 2 user deposit 1000TRX, youll get 20TRX(2%)

Level 3 user deposit 1000TRX, youll get 10TRX(1%)

Trading Rebate: Based on your down-line mining income per time.

Level 1 user mines 1000TRX and gets 50TRX, youll get 5TRX(10%)

Level 2 user mines 1000TRX and get 50TRX, youll get 2.5TRX(5%)

Level 3 user mines 1000TRX and gets 50TRX, youll get 1.5TRX(3%)

Launched in 2018, Tron is one of the leading blockchains on the market. It currently features a market cap of $7.6 billion, ranking it as the top 25th largest blockchain on the market.

Trons native token is TRX, powering the Tron blockchain, enabling users to pay for transaction fees and interact with its ecosystem.

Tron also has a highly popular token standard called TRC-20, its often the network for choice for transactions since the fees on the Tron network are minuscule compared to those on the Ethereum blockchain.

Official website: https://gem-trx.com/share?code=337336

Official Facebook page: https://www.facebook.com/gemtrxofficial

Official Twitter: https://twitter.com/MINEGEMTRX

Telegram Group: https://t.me/GemTrx

Whitepaper: https://tron.network/static/doc/white_paper_v_2_0.pdf

https://t.me/gemtrxofficial

https://t.me/gemtrxofficial2

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Intel Launches Energy-Efficient Bitcoin Mining Chip: Here’s What You Need To Know – Benzinga – Benzinga

The first shipments ofIntel CorporationsINTC new energy-efficientBitcoinBTC/USD mining microchip are set to begin in the third quarter.

What Happened:In anannouncement on Monday, Intel unveiled details about its newly launched mining chip, Blocksale ASIC.

The mining chip will reportedly have a hashrate of 580 Giga Hashes per second (GH/s) with an energy efficiency of 26 joules per Tera Hash (J/TH).

A hashrate of 580 GH/s equates to 0.58 TH/s. This isconsiderably lowerthan existing ASIC manufacturers that offer 112 TH/s.

The infrastructure is designed to support a maximum of 256 integrated circuits per chain, meaning that the chips can be merged into a single mining unit.

A report fromCointelegraphestimated that a mining unit with 256 Intel Blockscale ASICs would consume between 1,228 to 5,811 watts of power with a total hash rate of 148.5 TH/s and around the same energy efficiency as leading Bitcoin mining machines on the market.

Argo Blockchain ADRARBK, Block Inc.SQ, Hive Blockchain Technologies and GRIID Infrastructurewill be the first customers to receive their Blockscale ASIC shipments in the third quarter of 2022.

"The Intel Blockscale ASIC is going to play a major role in helping bitcoin mining companies achieve both sustainability and hash rate scaling objectives in the years ahead, said Jose Rios, general manager of Blockchain and Business Solutions in the Accelerated Computing Systems and Graphics Group at Intel.

Price Action:According to data fromBenzinga Pro, Intel shares closed 2.27% higher on Monday at $49.20.

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