Page 3,626«..1020..3,6253,6263,6273,628..3,6403,650..»

We’d love to come up with a Harbor container ship pun but we’re too corona-frazzled. Version 2.0 is out – The Register

Harbor, the open-source container image registry, has reached version 2.0, becoming the first open-source registry to fully support the Open Container Initiative (OCI) specification.

There are quite a few registries that allow you to store container images which represent blueprints for launching containerized applications and other cloud app artifacts that describe related metadata like Helm charts, OPAs (Open Policy Agents), and other configuration-related files.

Perhaps the best known is the open source Docker Registry and Docker Hub, a hosted implementation of that code.

There's also Portus, an authorization server and front-end for Docker Registry made by SUSE. And there are various commercial offerings from cloud providers like Alibaba Container Registry, Amazon Elastic Container Registry (ECR), Azure Container Registry, GitLab Container Registry, Google Container Registry, and Red Hat Quay.

Harbor was developed by VMware and put under the oversight of the Cloud Native Computing Foundation in 2018. It's used by thousands of enterprise organizations that want to run their own container image registries, said Michael Michael, director of product management at VMware and Harbor maintainer, in an interview with The Register.

The OCI defines an image specification, for building the application, and a runtime specification, for creating the application environment.

So Harbor's OCI-compliance means that it supports the full set of APIs for defining what can be stored in a Harbor registry.

"Now you have more ways to describe what a container image looks like and how it can be deployed," said Michael. "It enables you to store in any OCI-complaint registry all of the cloud-native artifacts that are important to you."

These cloud-native artifacts, he explained, allow policy rules to be applied to ensure that containers are handled securely.

Version 2.0 brings several noteworthy features.

For example, Harbor now supports the OCI image index specification, by which platform-specific versions of an image can be declared via an index. Also, charts for Helm, the Kubernetes package manager, can now be stored within Harbor, using Helm v3, instead of separately in a Helm-specific repository known as Chart Museum.

Also, the Clair image scanner, which looks for vulnerabilities in Harbor-stored images, is being replaced, though it will still be supported.

"We're making Aqua's image scanner Trivy the default scanner for all your projects," said Michael.

Version 2.0 adds the ability to set expiration dates on individual robot accounts, instead of just a single system-wide setting. It also introduces the ability to configure Harbor services to use SSL, a significant security improvement.

And it adds the ability to trigger webhooks API callbacks individually, so users can configure them, on a project basis, to target HTTP or Slack.

Michael said the 2.0 update also lays the groundwork for future improvements to how Harbor handles container image garbage collection containers create a lot of files that need to be removed. The Docker model of garbage collection, he said, isn't scalable because it adds downtime. Harbor now tracks all the layers in an image and in the future will be able to handle garbage collection without downtime.

Sponsored: Webcast: Build the next generation of your business in the public cloud

More:
We'd love to come up with a Harbor container ship pun but we're too corona-frazzled. Version 2.0 is out - The Register

Read More..

Edge Intelligence: The Next Wave of AI – EE Times India

Article By : Dennis Goldenson

Edge computing provides an opportunity to turn AI data into real-time value across almost every industry. The intelligent edge is the next stage in the evolution and success of AI technology...

As adoption rates rise for artificial intelligence and machine learning (ML), the ability to process large amounts of data in the form of algorithms for computational purposes becomes increasingly important. To help make the expanding use of data applications across billions of connected devices more efficient and valuable, there is growing momentum to migrate the processing from centralized third-party cloud servers to decentralized and localized processing on-device, commonly referred to as edge computing. According to SAR Insight & Consultings latest AI/ML embedded chips database, the global number of AI-enabled devices with edge computing will grow at a compound annual growth rate of 64.2% during the 20192024 period.

Edge AI takes the algorithms and processes the data as close as possible to the physical system in this case, locally on the hardware device. The advantage is that the processing of data does not require a connection. The computation of data happens near the network edge, where the data is developed, instead of in a centralized data-processing center. Determining the right balance between how much processing can and should be done on the edge will become one of the most important decisions for device, technology, and component providers.

Given the training and inferencing engines that produce deep-learning predictive models, edge processing usually requires an x86 or Arm processor from suppliers such as Intel, Qualcomm, Nvidia, and Google; an AI accelerator; and the ability to handle speeds of up to 2.5 GHz with 10 to 14 cores.

Given the expanding markets and expanding service and application demands placed on computational data and power, there are several factors and benefits driving the growth of edge computing. Because of the shifting needs of reliable, adaptable, and contextual information, a majority of the data is migrating locally to on-device processing, resulting in improved performance and response time (in less than a few milliseconds), lower latency, higher power efficiency, improved security because data is retained on the device, and cost savings because data-center transports are minimized.

One of the biggest benefits of edge computing is the ability to secure real-time results for time-sensitive needs. In many cases, sensor data can be collected, analyzed, and communicated straightaway, without having to send the data to a time-sensitive cloud center. Scalability across various edge devices to help speed local decision-making is fundamental. The ability to provide immediate and reliable data builds confidence, increases customer engagement, and, in many cases, saves lives. Just think of all of the industries home security, aerospace, automotive, smart cities, health care in which the immediate interpretation of diagnostics and equipment performance is critical.

Innovative organizations such as Amazon, Google, Apple, BMW, Volkswagen, Tesla, Airbus, Fraunhofer, Vodafone, Deutsche Telekom, Ericsson, and Harting are now embracing and hedging their bets for AI at the edge. A number of these companies are forming trade associations, such as the European Edge Computing Consortium (EECC), to help educate and motivate small, medium-sized, and large enterprises to drive the adoption of edge computing within manufacturing and other industrial markets.

The goals of the EECC initiative include specification of a reference architecture model for edge computing, development of reference technology stacks (EECC edge nodes), identification of gaps and recommendation of best practices by evaluating approaches within multiple scenarios, and synchronization with related initiatives/standardization organizations.

The advancement of AI and machine learning is providing numerous opportunities to create smart devices that are contextually aware of their environment. The demands placed on smart machines will benefit from the growth in multi-sensory data that can compute with greater precision and performance. Edge computing provides an opportunity to turn AI data into real-time value across almost every industry. The intelligent edge is the next stage in the evolution and success of AI technology.

Related Posts:

Read the original here:
Edge Intelligence: The Next Wave of AI - EE Times India

Read More..

Bitcoin Is Suddenly Back On The Move – Forbes

Bitcoin, after an anticlimactic supply squeeze earlier this week, has suddenly leaped toward $10,000.

The bitcoin price is up around 5% on the last 24-hour trading period and is still climbinghitting $9,345 per bitcoin on the Luxembourg-based Bitstamp exchange.

Bitcoin traders and investors have been closely watching the bitcoin price after the ... [+] hotly-anticipated halving supply squeeze this week.

On Monday, the number of bitcoin rewarded to those that maintain the bitcoin network, called miners, was cut by halfdropping from 12.5 bitcoin to 6.25.

In the short term, the bitcoin price is widely-expected to be highly volatile as bitcoin miners try to balance the price with their running costs.

Many bitcoin traders and investors had warned the bitcoin price could crash in the aftermath of the halvingbut those fears have yet to materialize.

Despite warning of a post-halving drop most bitcoin analysts are confident the price will climb eventually, with many forecasting bitcoin will retest its all-time highs.

"In my view, $10,000 to $10,300 per bitcoin is a significant resistance area," eToro analyst Simon Peters said, pointing to data from blockchain analytics firm Glassnode that shows bitcoin investors stopped buying bitcoin as the price rose over $10,000, "indicating decreasing confidence in prices at that level."

"Bitcoin has struggled to pass it on numerous occasions since the drop in September 2019. It could be that if we do see bitcoin hit $10,000 again, it will be followed by another short retracement like Sundays, and prices staying in below for a few months or so."

The bitcoin price crashed over 10% on Sunday ahead of bitcoin's third halving, spooking many bitcoin traders and investors.

However, Peters expects bitcoin to see a new all-time high within 18 months, "in the $20,000 to $50,000 per bitcoin region."

The bitcoin price had been treading water since the bitcoin halving but has now made a break toward ... [+] $10,000.

Meanwhile, bitcoin bulls have cheered support from some high profile investors who aren't happy with the Federal Reserve and other central banks.

The bitcoin and cryptocurrency market was set alight last week by news legendary macro investor Paul Tudor Jones is buying bitcoin as a hedge against the inflation he sees coming as a result of unprecedented coronavirus and lockdown-induced central bank money-printing.

Chamath Palihapitiya, the chief executive of Social Capital and Virgin Galactic chairman, has warned the Fed is creating a "deflationary cycle" by pumping trillions of dollars of cheap cash into the system.

"Now all of a sudden even [Paul Tudor Jones] is looking at bitcoin and the reason is because we are in this massive deflationary cycle," Palihapitiya told CNBC this week.

"I still struggle to find anything that is as uncorrelated to anything and to everything else than bitcoin."

Excerpt from:
Bitcoin Is Suddenly Back On The Move - Forbes

Read More..

CEO at Real Vision Raoul Pal Bets on Bitcoin Up 100x in Next Five Years – Cointelegraph

Raoul Pal, CEO & Founder at Real Vision, applies the economic cycle theory to predict a major disruption of the global financial system. He believes this will drive Bitcoin to new highs.

Despite the recent rally in the stock market, Pal sees dropping bond yields and falling commodity prices as signs the world economy is heading towards a grave recession. He states:

I think that the stock market is trading hope and the bond markets trading reality and the bond market will show us where the stock market will go.

According to Pals interpretation of the economic cycle theory a sequence of boom and bust periods in the world economy we are at the bottom of the downcycle, which means there is a high probability of major disruption in the global financial system.

The probability is high that we have to move to a new financial system. And that will probably involve digital currencies in multiple formats.

According to his readings of the charts, Pal is opposed to the narrative that tells us the Fed money-printing will generate inflation.

We're not necessarily creating higher prices because maybe the price of goods is falling faster than the price of money.

Still, Pal predicts that the devaluation of currencies all around the world will pave the way for the Bitcoin price to rise 50x to 100x in the next five years. In this scenario, Bitcoin has a high chance to become a widely adopted reserve currency.

Think of it as your own sovereign currency that you can always go to if your governments are acting bad.

Find out more in the full interview on our Youtube channel and dont forget to subscribe!

View original post here:
CEO at Real Vision Raoul Pal Bets on Bitcoin Up 100x in Next Five Years - Cointelegraph

Read More..

Understanding the Growing Trend of Bitcoin Currency Exchange – The Duke Perspective – Duke Today

The digital era has well and truly come to life around us. Modern marvels like digitalisation and technological advancement have become more and more pronounced all the time. So much so, in fact, that today these modern marvels are thought to be more instrumental and prominent than they have ever been. We see the evidence of these modern marvels all around us, all the time, today. More than ever, digitalisation and technological advancement are not only present but are becoming more and more ingrained in the way of the modern world. Practically every aspect of life as we know it and every corresponding industry has found itself having to adapt and embrace these modern marvels in order to realign with the way that the modern world is moving. Think of the innovations in the finance industry that spans the globe, for instance. The finance industry has always been one of the most important industries in the world. Now, that is a point that has arguably never been truer. Within the finance industry, there have been many great innovations over the years (and especially in recent years).

Cryptocurrency and namely the globally leading cryptocurrency Bitcoin is one of the most revolutionary innovations in the industry to date. In fact, in many ways Bitcoin is considered the founding father of the cryptocurrency wave. The first cryptocurrency to make it out of the gate and into the market, the Bitcoin network that came hand in hand with Bitcoin itself has been steadily growing ever since. While other cryptocurrencies have since come onto the scene and attempted to take the top spot in the cryptocurrency landscape, the simple fact is that Bitcoin remains the leading digital currency around the globe. Now, the rising trend of Bitcoin currency exchange is taking the financial landscape by storm. So, what is Bitcoin currency exchange and why does it matter? Essentially, Bitcoin currency exchange refers to the ability for Bitcoin holders to buy, sell, and trade their Bitcoins specifically through the Bitcoin blockchain network.

From Bitcoin Euro to Bitcoin Yen, and every Bitcoin in between and beyond, this is an emerging trend that is quickly gaining momentum among Bitcoin holders around the globe. Exchange-built blockchain platforms form the basis for blockchain currency exchange (and cryptocurrency currency exchange in general, for that matter) and they work their magic by essentially allowing Bitcoin holders to take control of their Bitcoin value not just individually but on a global currency exchanging platform. Bitcoin currency exchange essentially allows Bitcoin holders to buy, sell, and trade Bitcoin for traditional currencies around the globe. For a long time, the lack of transition between Bitcoin and traditional global currencies was a big gap in Bitcoins framework. Now, the solution is seemingly finally here. This allows Bitcoin holders to take back control of their digital currency holdings. These types of digital asset exchanges are all about attracting the attention of as many Bitcoin traders as possible so that the user base is given a boost.

Anyone who has experience with Bitcoin knows that the user base functions as a core driver of Bitcoin profits both per holder and around the globe. When it comes to addressing the question of why Bitcoin currency exchange matters, what it essentially comes down to is the fact that Bitcoin currency exchange allows Bitcoin holders the freedom and flexibility to invest in Bitcoin how, when, and where they want to while simultaneously giving them the opportunity to trade their Bitcoin for traditional currency. It is a whole new world and it is one that is steadily gaining more momentum all the time. This is the future of Bitcoin and of currency exchange and it is a future that is becoming more and more profoundly appreciated and interesting as time goes on. We are seeing a growth in Bitcoin currency exchange right now, however this current growth is likely going to prove to be just a glimpse of what is going to be possible going forward into the future and beyond.

As the digital era has come to fruition, steadily rising up and up, it has also come with many modern marvels, all of which have had their own impact on the way of the world. Digitalisation and technological advancement, for instance, have found themselves revolutionising practically every aspect of life as we know it and every corresponding industry in the process. The finance industry is without a doubt one of the most heavily impacted and revolutionised industries in the world when it comes to these innovations and their ongoing impact. Of all the great innovations to be felt in the finance industry, the rise of Bitcoin is without a doubt one of the most innovative and momentous to date. Today, Bitcoin currency exchange and the general utilisation of Bitcoin is at an all-time high and it is only expected to get bigger and better as time goes on. This is likely just the start for Bitcoin currency exchange and that is exciting.

Related

Read the original:
Understanding the Growing Trend of Bitcoin Currency Exchange - The Duke Perspective - Duke Today

Read More..

Man behind $2 million in Bitcoin hacks arrested in Ireland – Micky News

Authorities in Ireland are preparing a case against Conor Freeman, a 20-year-old man, who is accused of being part of a notorious criminal operation responsible for multiple Bitcoin hacks.

Freeman was arrested at his home in Glenageary Court, Dun Laoghaire, back in May due to the United States issuing a warrant against him.

Law enforcement says Freeman was a member of The Community, a group of hackers who used SIM swapping to steal cryptocurrency.

SIM swapping is when criminals gain control of a persons mobile phone account, which they then use to gain access to the victims email and cryptocurrency wallets.

The group allegedly stole $2,187,977 in Bitcoin and other virtual currencies between February 2018 and May 2018.

Conor Freeman is the lone non-U.S. resident of the hacking group. His identity was discovered after a member of The Community was arrested in May 2018 and who then cooperated with the police.

Records of online chats showed that a person by the moniker of Conor had a major role in the group in planning and carrying out the hacking attacks.

Law enforcement was able to link IP addresses used by Conor to those used by Conor Freeman from his internet and mobile phone providers in Ireland.

A grand jury in the Eastern District of Michigan indicted Freeman and five accomplices with:

If convicted on all the charges against him, Freeman could face up to 108 years in prison.

Freeman is facing a small reprieve at the moment, as authorities asked for an adjournment due to a domestic prosecution file being prepared against him.

On behalf of the Minister of Justice, Siobhan Ni Chulachain BL told the High Court:

We are awaiting developments on that front before a decision is taken regarding the substantive case before the court.

The court granted the adjournment of six weeks, which means the next court appearance for Conor Freeman wont be until June 22.

An interesting fact of the case is that Freeman used only four Bitcoin hacks to gain the over $2 million hes accused of stealing from his victims.

Images courtesy of Public Domain Pictures/Pixabay, David Peterson/Pixabay, Michael Wuensch/Pixabay

View original post here:
Man behind $2 million in Bitcoin hacks arrested in Ireland - Micky News

Read More..

Video: The Future of Quantum Computing with IBM – insideHPC

Dario Gil from IBM Research

In this video, Dario Gil from IBM shares results from the IBM Quantum Challenge and describes how you can access and program quantum computers on the IBM Cloud today.

From May 4-8, we invited people from around the world to participate in the IBM Quantum Challengeon the IBM Cloud. We devised the Challenge as a global event to celebrateour fourth anniversary of having a real quantum computer on the cloud. Over those four days 1,745people from45countries came together to solve four problems ranging from introductory topics in quantum computing, to understanding how to mitigate noise in a real system, to learning about historic work inquantum cryptography, to seeing how close they could come to the best optimization result for a quantum circuit.

Those working in the Challenge joined all those who regularly make use of the 18quantum computing systems that IBM has on the cloud, includingthe 10 open systemsand the advanced machines available within theIBM Q Network. During the 96 hours of the Challenge, the total use of the 18 IBM Quantum systems on the IBM Cloud exceeded 1 billion circuits a day. Together, we made history every day the cloud users of the IBM Quantum systems made and then extended what can absolutely be called a world record in computing.

Every day we extend the science of quantum computing and advance engineering to build more powerful devices and systems. Weve put new two new systems on the cloud in the last month, and so our fleet of quantum systems on the cloud is getting bigger and better. Well be extending this cloud infrastructure later this year by installing quantum systems inGermanyand inJapan. Weve also gone more and more digital with our users with videos, online education, social media, Slack community discussions, and, of course, the Challenge.

Dr. Dario Gil is the Director of IBM Research, one of the worlds largest and most influential corporate research labs. IBM Research is a global organization with over 3,000 researchers at 12 laboratories on six continents advancing the future of computing. Dr. Gil leads innovation efforts at IBM, directing research strategies in Quantum, AI, Hybrid Cloud, Security, Industry Solutions, and Semiconductors and Systems. Dr. Gil is the 12th Director in its 74-year history. Prior to his current appointment, Dr. Gil served as Chief Operating Officer of IBM Research and the Vice President of AI and Quantum Computing, areas in which he continues to have broad responsibilities across IBM. Under his leadership, IBM was the first company in the world to build programmable quantum computers and make them universally available through the cloud. An advocate of collaborative research models, he co-chairs the MIT-IBM Watson AI Lab, a pioneering industrial-academic laboratory with a portfolio of more than 50 projects focused on advancing fundamental AI research to the broad benefit of industry and society.

Sign up for our insideHPC Newsletter

Here is the original post:
Video: The Future of Quantum Computing with IBM - insideHPC

Read More..

IonQ CEO Peter Chapman on how quantum computing will change the future of AI – VentureBeat

Businesses eager to embrace cutting-edge technology are exploring quantum computing, which depends on qubits to perform computations that would be much more difficult, or simply not feasible, on classical computers. The ultimate goals are quantum advantage, the inflection point when quantum computers begin to solve useful problems. While that is a long way off (if it can even be achieved), the potential is massive. Applications include everything from cryptography and optimization to machine learning and materials science.

As quantum computing startup IonQ has described it, quantum computing is a marathon, not a sprint. We had the pleasure of interviewing IonQ CEO Peter Chapman last month to discuss a variety of topics. Among other questions, we asked Chapman about quantum computings future impact on AI and ML.

The conversation quickly turned to Strong AI, or Artificial General Intelligence (AGI), which does not yet exist. Strong AI is the idea that a machine could one day understand or learn any intellectual task that a human can.

AI in the Strong AI sense, that I have more of an opinion [about], just because I have more experience in that personally, Chapman told VentureBeat. And there was a really interesting paper that just recently came out talking about how to use a quantum computer to infer the meaning of words in NLP. And I do think that those kinds of things for Strong AI look quite promising. Its actually one of the reasons I joined IonQ. Its because I think that does have some sort of application.

In a follow-up email, Chapman expanded on his thoughts. For decades, it was believed that the brains computational capacity lay in the neuron as a minimal unit, he wrote. Early efforts by many tried to find a solution using artificial neurons linked together in artificial neural networks with very limited success. This approach was fueled by the thought that the brain is an electrical computer, similar to a classical computer.

However, since then, I believe we now know the brain is not an electrical computer, but an electrochemical one, he added. Sadly, todays computers do not have the processing power to be able to simulate the chemical interactions across discrete parts of the neuron, such as the dendrites, the axon, and the synapse. And even with Moores law, they wont next year or even after a million years.

Chapman then quoted Richard Feynman, who famously said Nature isnt classical, dammit, and if you want to make a simulation of nature, youd better make it quantum mechanical. And by golly, its a wonderful problem because it doesnt look so easy.

Similarly, its likely Strong AI isnt classical, its quantum mechanical as well, Chapman said.

One of IonQs competitors, D-Wave, argues that quantum computing and machine learning are extremely well matched. Chapman is still on the fence.

I havent spent enough time to really understand it, he admitted. There clearly [are] a lot of people who think that ML and quantum have an overlap. Certainly, if you think of 85% of all ML produces a decision tree, and the depth of that decision tree could easily be optimized with a quantum computer. Clearly, there [are] lots of people that think that generation of the decision tree could be optimized with a quantum computer. Honestly, I dont know if thats the case or not. I think its still a little early for machine learning, but there clearly [are] so many people that are working on it. Its hard to imagine it doesnt have [an] application.

Chapman continued in a later email: ML has intimate ties to optimization: Many learning problems are formulated as minimization of some loss function on a training set of examples. Generally, Universal Quantum Computers excel at these kinds of problems.

He listed three improvements in ML that quantum computing will likely allow:

Whether Strong AI or ML, IonQ isnt particularly interested in either. The company leaves that to its customers and future partners.

Theres so much to be to be done in a quantum, Chapman said. From education at one end all the way to the quantum computer itself. I think some of our competitors have taken on lots of the entire problem set. We at IonQ are just focused on producing the worlds best quantum computer for them. We think thats a large enough task for a little company like us to handle.

So, for the moment were kind of happy to let everyone else work on different problems, he added. We just dont have extra bandwidth or resources to put into working on machine learning algorithms. And luckily, there [are] lots of other companies that think that there [are] applications there. Well partner with them in the sense that well provide the hardware that their algorithms will run on. But were not in the ML business, per se.

Read the original:
IonQ CEO Peter Chapman on how quantum computing will change the future of AI - VentureBeat

Read More..

Topological Quantum Computing Market Growth by Top Companies, Trends by Types and Application, Forecast to 2026 – Cole of Duty

IonQ

Moreover, the Topological Quantum Computing report offers a detailed analysis of the competitive landscape in terms of regions and the major service providers are also highlighted along with attributes of the market overview, business strategies, financials, developments pertaining as well as the product portfolio of the Topological Quantum Computing market. Likewise, this report comprises significant data about market segmentation on the basis of type, application, and regional landscape. The Topological Quantum Computing market report also provides a brief analysis of the market opportunities and challenges faced by the leading service provides. This report is specially designed to know accurate market insights and market status.

By Regions:

* North America (The US, Canada, and Mexico)

* Europe (Germany, France, the UK, and Rest of the World)

* Asia Pacific (China, Japan, India, and Rest of Asia Pacific)

* Latin America (Brazil and Rest of Latin America.)

* Middle East & Africa (Saudi Arabia, the UAE, , South Africa, and Rest of Middle East & Africa)

To get Incredible Discounts on this Premium Report, Click Here @ https://www.marketresearchintellect.com/ask-for-discount/?rid=174712&utm_source=NYH&utm_medium=888

Table of Content

1 Introduction of Topological Quantum Computing Market

1.1 Overview of the Market1.2 Scope of Report1.3 Assumptions

2 Executive Summary

3 Research Methodology

3.1 Data Mining3.2 Validation3.3 Primary Interviews3.4 List of Data Sources

4 Topological Quantum Computing Market Outlook

4.1 Overview4.2 Market Dynamics4.2.1 Drivers4.2.2 Restraints4.2.3 Opportunities4.3 Porters Five Force Model4.4 Value Chain Analysis

5 Topological Quantum Computing Market, By Deployment Model

5.1 Overview

6 Topological Quantum Computing Market, By Solution

6.1 Overview

7 Topological Quantum Computing Market, By Vertical

7.1 Overview

8 Topological Quantum Computing Market, By Geography

8.1 Overview8.2 North America8.2.1 U.S.8.2.2 Canada8.2.3 Mexico8.3 Europe8.3.1 Germany8.3.2 U.K.8.3.3 France8.3.4 Rest of Europe8.4 Asia Pacific8.4.1 China8.4.2 Japan8.4.3 India8.4.4 Rest of Asia Pacific8.5 Rest of the World8.5.1 Latin America8.5.2 Middle East

9 Topological Quantum Computing Market Competitive Landscape

9.1 Overview9.2 Company Market Ranking9.3 Key Development Strategies

10 Company Profiles

10.1.1 Overview10.1.2 Financial Performance10.1.3 Product Outlook10.1.4 Key Developments

11 Appendix

11.1 Related Research

Get Complete Report

@ https://www.marketresearchintellect.com/need-customization/?rid=174712&utm_source=NYH&utm_medium=888

About Us:

Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations with the aim of delivering functional expertise. We provide reports for all industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverage and more. These reports deliver an in-depth study of the market with industry analysis, market value for regions and countries and trends that are pertinent to the industry.

Contact Us:

Mr. Steven Fernandes

Market Research Intellect

New Jersey ( USA )

Tel: +1-650-781-4080

Tags: Topological Quantum Computing Market Size, Topological Quantum Computing Market Trends, Topological Quantum Computing Market Growth, Topological Quantum Computing Market Forecast, Topological Quantum Computing Market Analysis Sarkari result, Government Jobs, Sarkari naukri, NMK, Majhi Naukri,

Our Trending Reports

Music Publishing Market Size, Growth Analysis, Opportunities, Business Outlook and Forecast to 2026

Storage As A Service Market Size, Growth Analysis, Opportunities, Business Outlook and Forecast to 2026

Visit link:
Topological Quantum Computing Market Growth by Top Companies, Trends by Types and Application, Forecast to 2026 - Cole of Duty

Read More..

Daily AI Roundup: The Coolest Things on Earth Today – AiThority

Todays Daily AI Roundup covers the latest Artificial Intelligence announcements on AI capabilities, AI mobility products, Robotic Service, Technology from FortressIQ (Computer Vision), LogMeIn (Security), MAXIMUS (Govtech), Atos (Quantum Computing), Microsoft Azure (Security) and Pulse Secure (IT And DevOps).

FortressIQ, the company delivering human-level observability into the processes behind every strategic business initiative, today announced it has received $30 million in series Bfundingled byM12, Microsofts venture fund, and Tiger Global Management, with participation from earlier investors Boldstart Ventures, Comcast Ventures, Eniac Ventures, and Lightspeed Venture Partners.

LogMeIn Inc., a leading provider of solutions for the work-from-anywhere era, has launched Remote Deployment for GoToMyPC enabling IT administrators and business professionals to remotely deploy, install, and configure GoToMyPC remote access software across any number of computers simultaneously.

Leading Government Technology (Govtech) platform MAXIMUS has announced a strategic partnership with Genesys. As part of the agreement, the two tech companies would join forces to offer the MAXIMUS Genesys Engagement Platform (Engagement Platform), a unique cloud-based citizen journey solution authorized as per the US FedRAMP guidelines.

Atos, a global leader indigital transformation, announced that it has sold its Atos Quantum Learning Machine (QLM), the worlds highest-performing commercially available quantum simulator, through its APAC distributor Intelligent Wave Inc. (IWI), in Japan. This is the first QLM that Atos has sold in Japan.

Cyber Risk Aware announced that its leading enterprise security awareness platform is now exclusively available to MS Azure LSPs and MSPs. At a time when businesses and individuals are more vulnerable to cyber attacks, many working remotely in the midst of the Covid 19 pandemic, MSPs and LSPs reselling MS Azure, Teams and Security solutions are experiencing even greater demand from clients needing more extensive enterprise cyber risk protection.

Pulse Secure, the leading provider of software-defined Secure Access solutions, announced its new suite of secure access solutions for hybrid IT that provides organizations a simplified, modular and integrated approach to modernize access productivity, management andZero Trust control.

Read the original post:
Daily AI Roundup: The Coolest Things on Earth Today - AiThority

Read More..