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Engineering excellence in the community – GOV.UK

September 13, 2021 | Author: admin

An exciting new development in Cleator Moor, West Cumbria was unveiled by Sellafield Ltd and Copeland Borough Council this week, as the Engineering Centre of Excellence officially and somewhat dramatically - opened its doors to visitors.

The centre, which relocates engineering and maintenance specialists from Sellafield site into a refurbished unit at the Leconfield industrial estate in Cleator Moor, is the latest in a suite of planned investments in the community.

It was officially opened by Spot the dog, a robotic canine developed by Boston Dynamics in the USA, which is currently being trialled for a number of uses at Sellafield and in the wider nuclear industry.

The centre hosts a range of teams working on key engineering and support systems for Sellafield Ltd, including civil engineering, radiometrics, control systems and robotics.

It is divided into 7 distinct but flexible work spaces used to test equipment and solve problems without the constraints of a nuclear licensed site.

The off-site location also makes it easier for the teams to work more closely with the supply chain.

Martin Chown, CEO Sellafield Ltd said:

This is a fantastic example of how we are changing how we do things at Sellafield; moving work that doesnt need to be done on the site out into the community for mutual benefit.

Engineering solutions play a key part in delivering our purpose of creating a clean, safe environment for future generations, and developments like this give us the space for more innovation and collaboration with our supply chain partners.

This helps us to make the most of different skills and teams, allowing us to progress with pace and deliver greater value for the taxpayer, whilst helping to grow and diversify the local economy.

Pat Graham, Copeland Borough Councils CEO added:

This is an important milestone for the Industrial Solutions Hub and demonstrates to the community in Cleator Moor that we are serious about bringing opportunities to the town.

To have an Engineering Centre of Excellence at the hub, on their doorstep, along with the 20 million investment thats coming in from the Towns Deal is a real turning point.

Plans are underway for the next phase which will see a number of community-based initiatives take shape.

Trudy Harrison, MP for Copeland, said:

Im absolutely delighted to welcome this fantastic investment in Cleator Moor.

Taking complex challenges off the Sellafield site and enabling young people to be trained by established engineers is exactly what we need to grow our economy and skills base.

By bringing these developments into our towns we can further encourage the economic regeneration of Copeland.

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Mapping Methane Emissions in California Using Precision Instruments and Machine-Learning – SciTechDaily

September 13, 2021 | Author: admin

2016 2017

Using precision instruments and new mapping and machine-learning tools, a research team has been pinpointing sources of the greenhouse gas.

In October 2016, an aircraft equipped with NASAs Airborne Visible Infrared Imaging SpectrometerNext-Generation (AVIRIS-NG) instrument detected multiple plumes of methane arising from the Sunshine Canyon landfill near Santa Clarita, California. The plumes were large enough that researchers from the Jet Propulsion Laboratory (JPL) notified facility operators and local enforcement agencies about it. It was an important step in a process of better accounting for local emissions of the gas.

Methane is a short-lived but powerful greenhouse gas that has been responsible for about 20 percent of global warming since the Industrial Revolution. Dairy cows and beef cattle produce methane through their guts and release it in burps. Their manure also produces methane, and when it is stored in manure lagoons it can be a major source of emissions. Oil and natural gas production releases methane from underground, and the infrastructure to store and transport it can leak. And landfills are a source of methane when organic materials are broken down by bacteria in anaerobic conditions.

The state of California aims toreduce such methane emissions, trying to cut back to 40 percent below 2013 levels by the end of this decade. But in order to reduce emissions, the state needs to get a better handle on the sources.

The California Air Resources Board (CARB)the state agency that oversees air pollution control effortstraditionally estimated greenhouse gas emissions by taking inventory of known emitting activities. But this approach can miss leaks or other fugitive emissions, so CARB staff became interested in measuring emissions from the air to improve greenhouse gas accounting and to pinpoint mitigation opportunities.

The images above show methane measurements made by the AVIRIS-NG instrument during October 2016 and 2017 flights over Santa Clarita, California. Methane emissions from the Sunshine Canyon landfill are shown in a yellow to red gradient, with red representing the highest concentrations. The right image shows the reduction in methane concentrations after landfill improvements were implemented.

The flights were part of theCalifornia Methane Survey, an ongoing project to map sources of methane emissions around the state. But before any flights took off, climate scientistFrancesca Hopkinsof the University of California, Riverside, and Riley Duren of JPL (now at the University of Arizona) set out to map all potential sources of methane around the state in order to better focus limited flight time and prioritize observations.

They decided to use a GIS-based approach, assimilating many publicly available geospatial datasets to develop a map that could help them quickly match methane plumes to likely sources. The research team organized potential methane-emitting infrastructure in California into three sectors: energy, agriculture, and waste. The dataset, calledSources of Methane Emissions (Vista-CA), includes more than 900,000 entries and is available at NASAs Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC).

From August 2016 to November 2017, a JPL-based team flew aircraft equipped with the AVIRIS-NG instrument over 22,000 square miles of the state. Currently there is no methane observing system that can efficiently survey the entire land surface at high resolution, said Duren. We had to focus on high-priority areas. The flight paths were planned so that they would cover at least 60 percent of methane point-source infrastructure in California.

To speed up the data analysis, Duren and colleagues then used machine learning techniques (such as neural networks) to automatically identify plumes detected during the flights. In parallel, graduate student Talha Rafiq from UC Riversidedeveloped an algorithmto attribute methane plume observations to the most likely Vista-CA source. The technologies allowed the team to share their findings within weeks with facility operators and regulators in California to alert them of fugitive methane emissions and to help accelerate remediation.

More than 272,000 individual facilities and equipment components were surveyed. Of those sites, emissions from less than 0.2 percent of that infrastructure were responsible for at least one third of Californias methane inventory. Landfills and composting facilities were responsible for 41 percent of the emissions measured. Duren, Hopkins, and otherspublished their findingsinNaturein 2019.

In the case of Sunshine Canyon, the landfill operator confirmed the methane emissions and determined that they were due to problems with surface cover and with gas capture systems. Over the next year the operator instituted a number of changes that dramatically reduced emissions. Subsequent flyovers with AVIRIS-NG confirmed a reduction in methane. These findings weredocumented by Duren, Daniel Cusworth(project scientist at the University of Arizona), and others inEnvironmental Research Lettersin 2020.

Data from the survey can be viewed on theMethane Source Finder portal. Some of the funding for the research came from NASAsAdvancing Collaborative Connections for Earth System Scienceprogram and from the Prototype Methane Monitoring System for California in NASAsCarbon Monitoring System.

NASA Earth Observatory image by Lauren Dauphin, using data fromCusworth, Daniel, et al. (2020), Landsat data from theU.S. Geological Surveyand topographic data from theNational Elevation Dataset(NED). Story by Emily Cassidy, NASA Earthdata.

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Applications of AI And Machine learning In Computer Science and Electrical Engineering – Analytics Insight

September 13, 2021 | Author: admin

Applications of AI And Machine Learning In Computer Science and Electrical Engineering

Technologically, we are evolving with every passing day. Progress in the field of Artificial intelligence and machine learning has transformed our lives for the better. Today, these magnificent technologies are used to optimize systems and meet the desired organizations goals. AI and machine learning not only boost the performance of the system but also address the problems of the business like never before. Additionally, problems are addressed efficiently and faster than before. All in all, implementing the latest applications of AI and machine learning might end up being a path for achieving greater heights. Computer engineering systems and electrical engineering systems generate huge volumes of data. Thus, we can apply data mining to discover new relationships in these systems. With the advent of deep neural networks thanks to the advancement in technology, we can learn new mappings between inputs and output of these systems. On that note, have a look at some of the greatest applications of AI and machine learning in the field of Computer engineering and electrical engineering that have simplified our lives.

Power systems

One of the best applications of AI when it comes to computer engineering has been on power systems. Right from identifying malfunctions to forecasting, AI has covered it all. Artificial intelligence has done a magnificent job in reducing the workload of human operators by taking up tasks such as data processing, routine maintenance, training, etc.

Application of Artificial intelligence in Electrical Equipment

First things first, we all know how complex the electrical equipment structure is. In reality, it not only needs knowledge pertaining to electronics, circuits, electromagnetic fields, motors, automation, etc. but also the necessity to understand the generators, sensors and other components of the role and mechanism. It is here that AI turns out to be no less than a saviour. Through programming and operation by computer technology, AI can realize the automatic operation of electrical equipment and replace human labour as well, thereby reducing the labour cost to a large extent. Additionally, Artificial intelligence technology greatly improves the speed and precision of the work.

Fault diagnosis

Artificial intelligence can be used in the logic of fuzzy neural network expert systems timely. With this, it is not only possible to accurately detect the faults, but also used to determine the cause of the failure, type and location of thefailure, and timely control of fault repair.

More secure systems

With the help of advanced search algorithms, Artificial intelligence and machine learning, identifying potential threats and data breaches in real-time has become easier than ever. Well, this is not it there is more to this. These advanced technologies also provide the necessary solutions to avoid those issues in the future. Well, there is no denying that when it comes to computer science, data security becomes way more relevant, right?

Server optimization

We all know that hosting servers have millions of inbound requests on a day-to-day basis. However, a point of concern is that due to the continuous flow of queries, some of these servers may end up slowing down and become unresponsive. Well, Artificial intelligence to the rescue it is! AI holds the potential of optimizing the host server and enhancing the operations, thereby boosting customer service.

What everything boils down to is the fact that AI and machine learning are changing many sectors, particularly IT/computer and electrical engineering because of the amount of data sets it can process at greater speeds and ability to learn faster than the human brain.

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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Microsoft partnership to explore how cloud, AI and machine learning can be used in space – IT Brief Australia

September 13, 2021 | Author: admin

Microsoft has signed a Memorandum of Understanding with the University of Adelaide's Australian Institute for Machine Learning, to jointly explore how advanced cloud computing, AI, computer vision and machine learning can be applied in space, beyond Earth's surface.

Project AI Off Earth will focus on the cutting edge of innovation in space. It will conduct modelling, emulation and simulation of complex space operations and systems; build algorithms for on-board satellite data processing; develop solutions for the remote operation and optimisation of satellites, constellations and swarms; and address space domain awareness and debris monitoring.

The University of Adelaide's Australian Institute for Machine Learning is ranked among world leaders in the application of AI, computer vision and machine learning to real world problems. Microsoft has deep experience in advanced cloud computing and cognitive systems and is building Azure Space, a set of cloud offerings which allow organisations to leverage geospatial data, access anywhere bandwidth, digitally engineer space systems, and engage in remote edge computing including in space.

The University of Adelaide's Professor Tat-Jun Chin is the SmartSat CRC Professorial Chair of Sentient Satellites at the Australian Institute for Machine Learning.

"The relationship with Microsoft will give us access to cloud-based platforms that will allow us to focus on the investigation on the performance of algorithms used to analyse large amounts of earth-observation data from satellites, without needing to be concerned about gaining access to space at the onset," he says.

"Our work on these algorithms has the potential to contribute to many applications, including agricultural land management, water management, mining practices and understanding of economic activity among many other applications."

Chin says AIMLs vision is to be global leaders in machine learning research, and high impact research translation.

"To penetrate the global market we need to collaborate with international partners and this relationship with Microsoft presents the opportunity to do that," he says.

Nicholas Moretti, Azure Space Engineer, Microsoft Australia adds, "I first got exposed to the space industry while I was studying for my undergraduate degree at the University of Adelaide and crossed paths with Professor Chin.

"We are delighted to be working with AIML and believe this will help identify important opportunities to use these technologies and capabilities to support agriculture and ecology, economics and financial systems as well as the burgeoning space sector itself," he says.

Although focused on in-space technologies, Project AI Off Earth will explore how space related technologies and data, and cognitive systems can be used to support automation of multiple different industries, help establish smart cities, as well as address sustainability and important environment challenges.

AIML and Microsoft are already collaborating using Microsoft Azure Orbital Emulator a cloud-based native space emulation environment that enables massive satellite constellation simulations. Using Azure Orbital Emulator, AIML and Project AI Off Earth can quickly develop, evaluate, and train algorithms, machine learning models and AI intended for space without need to launch a single satellite.

"The University of Adelaide undertakes world-leading research in the space sector, as well as many other fields, which aims to find solutions to the challenges facing society," says the University of Adelaide's Deputy Vice-Chancellor (Research) Professor Anton Middelberg.

"This exciting new relationship between the Australian Institute for Machine Learning and Microsoft will help AIMLs expertise to have an impact on a truly global scale."

The collaboration comes at a time of soaring interest in the space-related economy; the Australian Space Agency's goal is to triple the space sectors contribution to GDP to $12 billion and create an additional 20,000 jobs by 2030.

South Australian Minister for Trade and Investment, Stephen Patterson adds, "Adelaide has established itself as the very heart of Australias space industry.

"This agreement between AIML and Microsoft, which is building a space team, is a signal of whats to come. Australia has the opportunity to be a leading player in the global space industry and this sort of international collaboration centred on Adelaide but with a truly global focus will strengthen the local industry, help build skills in this important area and reinforce Adelaides reputation as the epicentre of space activity in this part of the world," he says.

AIML and Microsoft Azure Space also intend to use Project AI Off Earth to advocate for STEM careers, to advise on structuring of STEM traineeships and scholarships, and to encourage greater participation by women, underprivileged groups, and underrepresented groups.

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A.I. Can Now Write Its Own Computer Code. Thats Good News for Humans. – The New York Times

September 13, 2021 | Author: admin

As soon as Tom Smith got his hands on Codex a new artificial intelligence technology that writes its own computer programs he gave it a job interview.

He asked if it could tackle the coding challenges that programmers often face when interviewing for big-money jobs at Silicon Valley companies like Google and Facebook. Could it write a program that replaces all the spaces in a sentence with dashes? Even better, could it write one that identifies invalid ZIP codes?

It did both instantly, before completing several other tasks. These are problems that would be tough for a lot of humans to solve, myself included, and it would type out the response in two seconds, said Mr. Smith, a seasoned programmer who oversees an A.I. start-up called Gado Images. It was spooky to watch.

Codex seemed like a technology that would soon replace human workers. As Mr. Smith continued testing the system, he realized that its skills extended well beyond a knack for answering canned interview questions. It could even translate from one programming language to another.

Yet after several weeks working with this new technology, Mr. Smith believes it poses no threat to professional coders. In fact, like many other experts, he sees it as a tool that will end up boosting human productivity. It may even help a whole new generation of people learn the art of computers, by showing them how to write simple pieces of code, almost like a personal tutor.

This is a tool that can make a coders life a lot easier, Mr. Smith said.

About four years ago, researchers at labs like OpenAI started designing neural networks that analyzed enormous amounts of prose, including thousands of digital books, Wikipedia articles and all sorts of other text posted to the internet.

By pinpointing patterns in all that text, the networks learned to predict the next word in a sequence. When someone typed a few words into these universal language models, they could complete the thought with entire paragraphs. In this way, one system an OpenAI creation called GPT-3 could write its own Twitter posts, speeches, poetry and news articles.

Much to the surprise of even the researchers who built the system, it could even write its own computer programs, though they were short and simple. Apparently, it had learned from an untold number of programs posted to the internet. So OpenAI went a step further, training a new system Codex on an enormous array of both prose and code.

The result is a system that understands both prose and code to a point. You can ask, in plain English, for snow falling on a black background, and it will give you code that creates a virtual snowstorm. If you ask for a blue bouncing ball, it will give you that, too.

You can tell it to do something, and it will do it, said Ania Kubow, another programmer who has used the technology.

Codex can generate programs in 12 computer languages and even translate between them. But it often makes mistakes, and though its skills are impressive, it cant reason like a human. It can recognize or mimic what it has seen in the past, but it is not nimble enough to think on its own.

Sometimes, the programs generated by Codex do not run. Or they contain security flaws. Or they come nowhere close to what you want them to do. OpenAI estimates that Codex produces the right code 37 percent of the time.

When Mr. Smith used the system as part of a beta test program this summer, the code it produced was impressive. But sometimes, it worked only if he made a tiny change, like tweaking a command to suit his particular software setup or adding a digital code needed for access to the internet service it was trying to query.

In other words, Codex was truly useful only to an experienced programmer.

But it could help programmers do their everyday work a lot faster. It could help them find the basic building blocks they needed or point them toward new ideas. Using the technology, GitHub, a popular online service for programmers, now offers Copilot, a tool that suggests your next line of code, much the way autocomplete tools suggest the next word when you type texts or emails.

It is a way of getting code written without having to write as much code, said Jeremy Howard, who founded the artificial intelligence lab Fast.ai and helped create the language technology that OpenAIs work is based on. It is not always correct, but it is just close enough.

Mr. Howard and others believe Codex could also help novices learn to code. It is particularly good at generating simple programs from brief English descriptions. And it works in the other direction, too, by explaining complex code in plain English. Some, including Joel Hellermark, an entrepreneur in Sweden, are already trying to transform the system into a teaching tool.

The rest of the A.I. landscape looks similar. Robots are increasingly powerful. So are chatbots designed for online conversation. DeepMind, an A.I. lab in London, recently built a system that instantly identifies the shape of proteins in the human body, which is a key part of designing new medicines and vaccines. That task once took scientists days or even years. But those systems replace only a small part of what human experts can do.

In the few areas where new machines can instantly replace workers, they are typically in jobs the market is slow to fill. Robots, for instance, are increasingly useful inside shipping centers, which are expanding and struggling to find the workers needed to keep pace.

With his start-up, Gado Images, Mr. Smith set out to build a system that could automatically sort through the photo archives of newspapers and libraries, resurfacing forgotten images, automatically writing captions and tags and sharing the photos with other publications and businesses. But the technology could handle only part of the job.

It could sift through a vast photo archive faster than humans, identifying the kinds of images that might be useful and taking a stab at captions. But finding the best and most important photos and properly tagging them still required a seasoned archivist.

We thought these tools were going to completely remove the need for humans, but what we learned after many years was that this wasnt really possible you still needed a skilled human to review the output, Mr. Smith said. The technology gets things wrong. And it can be biased. You still need a person to review what it has done and decide what is good and what is not.

Codex extends what a machine can do, but it is another indication that the technology works best with humans at the controls.

A.I. is not playing out like anyone expected, said Greg Brockman, the chief technology officer of OpenAI. It felt like it was going to do this job and that job, and everyone was trying to figure out which one would go first. Instead, it is replacing no jobs. But it is taking away the drudge work from all of them at once.

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Why robotics and artificial intelligence will be bigger than the discovery of the New World | Column – Tampa Bay Times

September 13, 2021 | Author: admin

Having spent more than 25 years working with industry partners to educate and prepare the future workforce, it is not surprising to see that Florida has experienced growth in the technology sector.

Across the nation, the U.S. Bureau of Labor Statistics estimates that computer and information technology occupations are projected to grow 11 percent from 2019 to 2029, much faster than the average for all occupations. Additionally, demand for skilled professionals in robotics and artificial intelligence is growing. The World Economic Forum estimates that while 85 million jobs will be displaced, 97 million new jobs will be created across 26 countries by 2025 due to the growth of artificial intelligence technology.

From my conversations with industry leaders to the research and data Ive studied, all signs lead me to believe that robotics and artificial intelligence will be a significant economic driver, surpassing the impact of Christopher Columbus exploration of the New World in 1492.

While Columbus used sophisticated technology that was highly advanced for his time, he was still required to convince Queen Isabella that his trip and tools had value. His technology included the compass, maps, and charts that helped him navigate what many considered a nearly unthinkable journey.

Today, few in our modern world need to be convinced that computing and other advanced technologies, including robotics and artificial intelligence, have value.

While certainly some people fear technology will impact us negatively with the loss of jobs or human touch, others see technologies like robotic surgery or manufacturing as protections that can help heal people faster or make work more effective. Today, robots are largely sophisticated tools that are as amazing and mindboggling as the compass and quadrant were in Columbus time.

While Columbus trip changed the world, it took hundreds of years for its impact to be understood and capitalized upon. Robotics, as a field of practice and study, rapidly will change the future for graduates, and all of us, with new technologies being employed each year.

The idea of a robot may bring to mind images of Commander Data from Star Trek, or more frighteningly, the robots featured in The Terminator, but the field of robotics is much broader than those perceptions.

According to the Institute of Electrical and Electronics Engineers, there are many types of robots from those in aerospace, to consumer products, disaster response, drones, autonomous vehicles, and exoskeletons, to industrial robots, and medical robots, among others. In 2019, an article in Oxford Economics revealed that the number of robots in use worldwide multiplied three-fold over the past two decades, to 2.25 million. In many cases, robots are simply machines that are programmed to perform tasks or take actions. They are able to do things in anticipation of needs, based on artificial intelligence coding.

A final point to consider is the impact on the economy. After Columbus journey, trade between nations became prevalent and a new economic system was born. Likewise, demand for robotics and artificial intelligence technology will grow and create new efficiencies. PriceWaterhouseCoopers Global Artificial Intelligence Study predicts that by 2030, growth of artificial intelligence will lead to an estimated $15.7 trillion, or 26 percent increase, in global gross domestic product.

Demand for robotics engineers and technicians also will grow, given the need for designing and maintaining robots. There also will be strong demand for application developers for robotic systems and solutions. So, while some fear that robots and artificial intelligence will take away jobs from humans, they will create many more jobs and careers.

With what I now know today, if I could go back and change my college major, I would select robotics. There are many opportunities in this growing field. It is multidisciplinary, creative, impactful, and would allow me to innovate. It is and will be the next big discovery in our world.

Jeffrey D. Senese, PhD, is the president of Saint Leo University, a private, nonprofit Catholic university based in Pasco County, FL. Saint Leo is the largest Benedictine Catholic university in the world, educating more than 18,000 students each year. This fall, the university is launching a bachelors degree in robotics and artificial intelligence and opening a new college dedicated to the growing field.

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AAMC Comments on National Artificial Intelligence Initiative – AAMC

September 13, 2021 | Author: admin

The AAMC submitted a letter to the White House Office of Science and Technology Policy (OSTP) and the National Science Foundation (NSF) on Sept. 1 in response to a request for information (RFI) geared toward developing a shared, national artificial intelligence (AI) research infrastructure that is referred to as the National Artificial Intelligence Research Resource (NAIRR).

The RFI will inform the work of the NAIRR Task Force, which has been directed by Congress to develop a first-of-its-kind AI infrastructure that provides AI researchers and students across scientific disciplines with access to computational resources, high-quality data, educational tools, and user support.

In its comments, the AAMC expressed strong support for Congress prioritization of AI, which has tremendous potential to advance human health and usher in a new era of biomedicine. The AAMC also commended the aspirations of the OSTP and the NSF to develop an inclusive AI infrastructure that allows all of America's diverse AI researchers to fully participate in exploring innovative ideas for advancing AI, including communities, institutions, and regions that have been traditionally underserved.

The letter outlined strategies on how the NAIRR should reinforce principles of ethical and responsible research and development of AI. In particular, the AAMC underscored the necessity of building a NAIRR that identifies and addresses systemic inequities at the interface of AI and biomedicine, mitigates bias by promoting representative datasets and algorithms, provides users with a data management and sharing plan that promotes community engagement and transparency, and fosters a diverse AI workforce and leadership.

Given the vast amounts of data, industries, and applications that will converge with the NAIRR, the AAMC also noted the importance of a multisector approach for identifying, researching, and mitigating bias, discrimination, health inequities, and social determinants of health all components that currently preclude the formation of an equitable AI framework that benefits all communities equally.

Finally, the AAMC recommended that the NAIRR partner with diverse communities in the development of this framework, thereby culminating a diverse expertise and fostering community trust. On Aug. 18, the OSTP and the NSF extended the RFIs public comment period by one month to Oct. 1, providing further opportunity for researchers and academic institutions to respond.

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Is Artificial Intelligence Set To Take Over The Art Industry? – Forbes

September 13, 2021 | Author: admin

Arushi Kapoor

Many people considered it a formless blur of colors, an image that was abstract but slightly resembling a human face. The image isnt even properly positioned on the canvas, rather it is skewed towards the northwest.

In October 2018, this art piece: Portrait of Edmond de Belamy, an algorithm-generated print, was sold for $432,500, thus beginning the AI-Art goldRush.

Humans have always created and enjoyed all forms of art, for viewing purposes, for aesthetic purposes, and even for therapeutic purposes. Since the discoveries of an artistic shell carved by homoerectus, the art business has grown in leaps and bounds and become a highly profitable industry. Leonardo Davincis, Salvator Mundi went for $450.3 million, becoming the most expensive art piece to date.

Understanding and thriving in this industry is not as easy as it may appear, it requires a lot of knowledge, time, and exposure. 25-year-old Arushi Kapoor is the CEO and co-founder of ARTSop art consulting, is an entrepreneur who boasts all of these traits. She is also the founder of Arushi, a cultural center and art warehouse based in Echo Park, Los Angeles.In this article, Kapoor shares her knowledge of the art industry and the influence that tech and AI have on it.

Technology has impacted the way art is created and enjoyed for the better part of the last 100 years, the invention of portable paint tubes enabled artists to paint outdoors and sparked a contingent of stunning landscape and horizon paintings. Today cameras and software like Photoshop have redefined the way art is created and enjoyed.

Kapoor, who is herself a tech-enthusiast agrees that these advancements have been great, but insists that they have not changed the antiquated meaning of art.

I will always be grateful for technology and technological advancements, says Kapoor.I wouldnt have a business or be able to do what I have done in the industry since the age of 19, had it not been for technologies of various kinds.

She continues,However, in my experience, I feel that there is still and will always be that reverence in the hearts of art lovers towards handmade art and crafts. Technological creations have great utility and aesthetic value, but paintings and craft tend to have what I refer to as artistic glory. Human creativity is what art is all about. Technology is a help to it, not a full replacement for it.

Kapoors foray into the industry dates back to when she wrote her first book, Talking Art at age 19. With that book, she put the world on notice that art was not going to be just a fleeting interest for her. Kapoor grew up in India, Europe, and the US, and this multicultural exposure has certainly influenced her knowledge and understanding of art.

Kapoor is the director of Arushi, a US-based venture that made history as the first to present a sold-out all-Indian art show; Art of India, Reclaiming The Present.

ArtSop Consulting, a facet of Arushi, provides private art consulting to people around the world, buying and selling art for clients in the secondary art market. Additionally, ArtSop represents primary artists that are featured in the art warehouse, Arushi.

Kapoor is also a technology investor, who has done a lot of research and invested capital into AI-driven art startups that are moving the needle when it comes to the future of art tech.

Kapoor comments that the integration of AI and art has been received with mixed feelings.

Personally, I havent seen any extraordinary artworks created by AI exclusively yet, she says. I think there is always going to be some human intervention required to create out of the park art. I recently heard, DeviantArt is an AI tool thats helping find stolen artworks. Thats extraordinary and thats how I believe AI can make a positive impact on the art world

The success of the AI-generated Portrait of Edmond de Belamy seems to have sparked off a series of AI art creations all wanting to cash out on the AI intrigue among some high spending art lovers.

In a recent exhibition of prints shown at the HG Contemporary gallery in Chelsea, the epicenter of New Yorks contemporary art world, 20 prints were displayed as part of the Faceless Portraits Transcending Time.

The ARTSop CEO isnt necessarily intrigued by this development, Kapoors MO has always been about highlighting upcoming local and female contemporary artists who have no platform to showcase their creations. In the opening of her Invite-only warehouse in LA, she featured a local female artist, Lindsay Dawn, for her first exhibition. Kapoor believes that real art should be discovered and celebrated.

If AI prints continue to sell for huge amounts it may de-incentivize actual human creation and creativity, says Kapoor.

Arushi Kapoor

At the rate at which technology is being accepted in every industry, it is no longer difficult to imagine a future where fewer artists are creating because they lack platforms to sell. Arushi along with many other art companies and galleries, hopes to find a balance and to create an ecosystem where both kinds of art can co-exist in the future. This shift to accepting non man made artworks isnt widely accepted currently. I am optimistic that there would always be a large section of art lovers who prefer man-made creations or perhaps love both.

Artificial Intelligence wasnt initially applied to art as a creator but as an impersonator. The technique is called style transfer and it uses deep neural networks to replicate, recreate and blend styles of artwork, by teaching the AI to understand existing pieces of art. Alexandra Squire is an excellent example of how the very human process of making art is not easily replicated. Squire believes art is a universal language with vast meanings, and focuses on art that is substantial, open to interpretation, and rich in depth and texture.

The increased usage of all kinds of AI in all kinds of art suggests that it is here to stay. From the AI-written book, 1 The Road, to Anna Riddlers AI-generated blooming tulip videos, creators have found value in utilizing artificial intelligence.

The question then becomes, is AI the future of the art industry? Kapoor shares her sentiment on this pertinent question.

Kapoor adds, The more optimistic view is that artificial intelligence evolves into a greater tool for existing creators to enhance, discover and replicate their works. We all hope for a world where our technologies help us, and not replace us.

Kapoors perspective on the future of art and AI is probably the most tenable and desirable. There is a strong perception amongst art lovers that machines can not produce art in the real sense of the word.

This sentiment is partly true because so far, AI has only demonstrated an ability to study and understand existing art and to somehow enhance or combine them to produce something new, and in some cases, something better.

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Is Artificial Intelligence Set To Take Over The Art Industry? - Forbes

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Current uses, emerging applications, and clinical integration of artificial intelligence in neuroradiology – DocWire News

September 13, 2021 | Author: admin

This article was originally published here

Rev Neurosci. 2021 Sep 10. doi: 10.1515/revneuro-2021-0101. Online ahead of print.

ABSTRACT

Artificial intelligence (AI) is a branch of computer science with a variety of subfields and techniques, exploited to serve as a deductive tool that performs tasks originally requiring human cognition. AI tools and its subdomains are being incorporated into healthcare delivery for the improvement of medical data interpretation encompassing clinical management, diagnostics, and prognostic outcomes. In the field of neuroradiology, AI manifested through deep machine learning and connected neural networks (CNNs) has demonstrated incredible accuracy in identifying pathology and aiding in diagnosis and prognostication in several areas of neurology and neurosurgery. In this literature review, we survey the available clinical data highlighting the utilization of AI in the field of neuroradiology across multiple neurological and neurosurgical subspecialties. In addition, we discuss the emerging role of AI in neuroradiology, its strengths and limitations, as well as future needs in strengthening its role in clinical practice. Our review evaluated data across several subspecialties of neurology and neurosurgery including vascular neurology, spinal pathology, traumatic brain injury (TBI), neuro-oncology, multiple sclerosis, Alzheimers disease, and epilepsy. AI has established a strong presence within the realm of neuroradiology as a successful and largely supportive technology aiding in the interpretation, diagnosis, and even prognostication of various pathologies. More research is warranted to establish its full scientific validity and determine its maximum potential to aid in optimizing and providing the most accurate imaging interpretation.

PMID:34506699 | DOI:10.1515/revneuro-2021-0101

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Current uses, emerging applications, and clinical integration of artificial intelligence in neuroradiology - DocWire News

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Five Indian companies that are leading the AI race – Mint

September 13, 2021 | Author: admin

AI has become intertwined with every aspect of our lives. Each one of us is currently using this technology in one form or the other. From personal digital assistants like Siri, google assistant, Alexa, to self-driving cars, its being used very widely.

The use is increasing on a daily basis in fast growing sectors such as healthcare, finance, e-commerce, and manufacturing.

Also, businesses like Swiggy and Zomato, which have invested heavily in AI over the past couple of years, have witnessed the power of technology to both sustain and increase growth. This has steered the discussion towards AIs potential for other companies in India.

According to a report by Accenture, its expected that AI has the potential to make up 15% of Indias current gross value in 2035 or US$957 bn.

In the coming years, AI will transform the way we live and work.

With increasing demand for AI technology, investor interest in AI stocks has also increased.

Heres the list of top Indian companies working on AI in the Indian stock market.

1. Coforge

Coforge is an IT services company providing end-to-end software solutions and services.

It is among the top-20 Indian software exporters.

The company was formerly known as NIIT Technologies and was incorporated in April 2003.

It provides AI-based digital business assistants, deep learning, machine learning, multi-currency, multi-lingual, multi-channel experience, image recognition, robotic process automation (RPA), natural language processing (NLP), and workflow automation.

In the past, the company has made a few acquisitions to increase revenue and enhance geographical and customer presence.

In April 2021, Coforge completed its strategic investment in SLK Global Solutions. SLK Global has deep domain expertise in the banking and insurance segments in North America. It enjoys multiple long-standing and scalable relationships with marquee clients with strong growth potential.

Over the span of five years, the company has given a return of 1,202%. Currently, shares of Coforge are trading at 5,136 per share.

2. Happiest Minds Technologies

Happiest Minds is an IT consulting and services firm that was founded in 2011.

The company works on disruptive technologies such as artificial intelligence, cloud, internet of things (IoT), blockchain, robotics/drones, virtual reality, and other services.

Artificial intelligence is used by the firm for language processing, picture analytics, video analytics, and upcoming technologies such as AR and VR.

In addition, the company assists organisations in using robots using AI, leading to time and cost savings.

In September 2020, the firm was listed on the stock exchange. Its one of the most popular Indian artificial intelligence stocks.

Ashok Soota the executive chairman of the company is the main promoter and was earlier founding Chairman & MD of Mindtree. Prior to Mindtree, he led Wipros IT business for fifteen years.

Since its listing, the company has managed to give a return of 290.8%. Happiest Minds shares are trading at 1,445 on the BSE.

3. Saksoft

Saksoft is a leading provider of information management solutions to successful companies around the world.

The company is a mid-sized IT company and provides end-to-end business solutions that leverage technology and enables their clients to enhance business performance.

It mainly focuses on getting transformations through efficiency, productivity, enhanced customer decisions, and service innovations by increasing the combination of AI and automation.

Saksoft gives a boost to digital transformation and applies intelligent automation to solve major business problems with the assistance of modern technology like IoT, AI, machine learning, and automation.

The company has delivered good profit growth of 20.1% compound annual growth rate (CAGR) over last 5 years. Saksoft shares are trading at 913 on the BSE.

4. Tata Elxsi

Founded in 1989, Tata Elxsi is a part of the Tata Group and performs in the midcap range in the stock market.

Today Tata Elxsi is one of the leading providers of design and technology services in various industries. These include automotive, broadcasting, communication, healthcare, and transportation.

When it comes to AI, the company has had success in various fields like self-driving cars, video analytics solutions etc.

Tata Elxsi Artificial Intelligence Centre of Excellence addresses the increasing demand for intelligent systems. It allows its customers to use cloud-based integrated data analytics frameworks that feature patent-pending technology to get actionable insights and outstanding returns.

On the financial front, the company has performed well over the last few quarters. It has had a compounded profit growth of 19% for the last 5 years.

In the past five years, stock has provided 535% return compared to Nifty IT that returned 95% returns to the investors.

5. Persistent Systems

Persistent Systems offers a secure and scalable mobile networking capability based on its cutting-edge Wave Relay MANET technology.

Persistents products provide a total solution consisting of voice, video, and situational awareness to mobile users with no reliance on fixed infrastructure.

Also, the company has developed machine learning and AI solutions that help companies at every stage of their AI and machine learning development.

It uses AI to help companies improve and scale their operations, prioritise cases, and designs platform architecture.

Financially the company has performed well. It has achieved a compounded profit growth of 10% and sales growth of 13% over the last five years.

In the last five years, the stock gave returns of 462%. Currently, shares of Persistent Systems are trading at 3,479 per share.

Apart from the above, heres the list of more AI-based stocks to watch out for in India.

View Full Image

In conclusion

Today, AI is a crucial tool for many businesses and the market for the technology is growing quickly in India.

From online shopping to the data used for scholastic tasks, AI has become an integral part of human life.

Also, many Indian start-ups are expanding and developing AI solutions in education, health, financial services, and other fields.

For the last few years, it has been attracting numerous companies to adapt to the trend, driving investments towards them, due to its increasing demand in the present and future.

Investing in digital technologies can create huge revenue in the coming years.

If youre thinking about buying artificial intelligence stocks, you should look out for companies that are focused on AI businesses in India with excellent technical and business fundamentals, minimal debt, and are available at attractive valuations.

Happy Investing!

(This article is syndicated from Equitymaster.com)

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Five Indian companies that are leading the AI race - Mint

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