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Artificial intelligence is still considered a long way from its feared destructive capabilities, but one thing is for certain: big things start from small beginnings. And that small beginning might as well be this.

(Photo : Andrea Verdelli/Getty Images)SHANGHAI, CHINA - JUNE 18: Cutting edge applications of Artificial Intelligence are seen on display at the Artificial Intelligence Pavilion of Zhangjiang Future Park during a state organized media tour on June 18, 2021 in Shanghai, China.

Engadgetreports that a certain artificial intelligence managed to somehow "create" its own version of "GTA V," and also make it actually playable--at least a short stretch of it, that is. And all they did was make the AI "watch" a portion of gameplay.

YouTuber Harrison Kinsley, who goes by the name sentdex on the video platform, shareda videoof artificial intelligence achieving the technically impressive feat. Working with a collaborator named Daniel Kukiela, Kinsley used a program called GameGAN Neural Network to create the simulation.

GameGAN, according toits website, is an artificial intelligence-based program created to simulate game environments on the fly. Made by the NVIDIA Toronto AI Lab (at least according to its Google Results Page heading), GameGAN has actually done the same exact thing last year, only with a different game: Pac-Man.

Before it managed to create its own playable version of "GTA V," GameGAN made its own version of Pac-Man by watching another AI play through it. According toEngadget, artificial intelligence managed to essentially "develop" an entire video game in merely four days. The real Pac-Man, on the other hand, took over a year to make.

This also isn't really the first time thatAI has dabbled in game visuals. NVIDIA's DLSS and so-called AI upscaling that's turned the graphics of "GTA V" into photorealistic images already exist.

Read also:Artificial Intelligence to Hunt for Dark Energy Using this INSANELY POWERFUL Supercomputer

To achieve the feat, Kinsley needed some major help. No consumer-class computer would be able to deal with this kind of workload, so NVIDIA loaned him and his partner a $200,000 data center; essentially a small-scale supercomputer. This machine contained eight A100 GPUs, which are optimized for hardware-accelerated artificial intelligence, as well as two 64-core server CPUs from AMD.

(Photo : China/Barcroft Media via Getty Images)HANGZHOU, CHINA - JUNE 06 2021: Visitors stop by an AI server based on NVIDIA A100 chips at the 2021 Global Artificial Intelligence Technology Conference (GAITC2021) in Hangzhou in East China.

With the data center, Kinsley and Kukiela "trained" the GameGAN using actual gameplay of "GTA V." They let 12 simultaneous AI instances drive the same stretch of road, allowing the hardware to collect enough data to build its own world. The result was an amazing testament to the power of artificial intelligence, which is also a little bit freaky.

And the AI itself didn't just create an image that moved. It also rendered rudimentary 3D graphics in real-time. What this means is that as the car drove around, the shadow underneath it also moved relative to where the light source is. That's absolutely amazing since doing that convincingly inside a game engine would take years of hard coding. A machine managed to do that in barely a fraction of the time.

So does this mean that game developers will be replaced by artificial intelligence? No. Absolutely not. For now, AI can stick to doing things likebeating humans in DOTA 2, or being funnily dumb in broken, unfinished games.

Related: Super Mario Artificial Intelligence Learns How to Feel, Plays Own Game [Video]

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Written by RJ Pierce

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Artificial Intelligence 'Creates' Its Own PLAYABLE Version of 'GTA 5', And It Is FREAKY - Tech Times

LONDON One of the world's biggest wealth managers doesn't think artificial intelligence can replace the role of financial advisors.

Ralph Hamers, the CEO of UBS, said Wednesday that technologies like AI were better suited to handling day-to-day functions like opening an account or executing trades than advising clients.

"There is no added value for client advisors to be engaged in a process like that," Hamers told CNBC's Geoff Cutmore at the virtual CNBC Evolve Global Summit. "They're advisors. They should advise."

"Our financial advisors actually should be supported by the technology," Hamers said, adding that AI could be used to make sense of the research and other data that advisors don't have time for.

"That is what artificial intelligence can do, because even our client advisors can't read all the research that is there," he said. "Our client advisors can't comprehend all the product options that are out there."

Europe's banking industry has seen radical change over the last decade, with new entrants like Monzo, Revolut and N26 emerging to take on incumbents with slick, digital-only services.

Covid-19 has further accelerated digital transformation in the banking sector, with many lenders racing to move away from their aging IT systems to cloud-based technology. Some are partnering with tech companies like Microsoft, Amazon and Google, as well as fintech upstarts, to hasten the process.

Hamers said UBS is looking to adopt a "Netflix experience" where clients have access to a "dashboard" of different research and products to choose from.

"That's where things are going, and that's where UBS is making the next step, in terms of dealing with technology to deliver a much better service for our clients," he added.

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Artificial intelligence won't replace the role of financial advisors, UBS CEO says - CNBC

Artificial Intelligence In Healthcare Market Size, Share & Trends Analysis Report By Component (Software Solutions, Hardware, Service), By Application (Robot Assisted Surgery, Connected Machines, Clinical Trials), And Segment Forecasts, 2021 - 2028

New York, June 18, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence In Healthcare Market Size, Share & Trends Analysis Report By Component, By Application And Segment Forecasts, 2021 - 2028" - https://www.reportlinker.com/p06096560/?utm_source=GNW

Artificial Intelligence In Healthcare Market Growth & Trends

The global artificial intelligence in healthcare market size is expected to reach USD 120.2 billion by 2028 and is expected to expand at a CAGR of 41.8% over the forecast period. Growing technological advancements coupled with an increasing need for efficient and innovative solutions to enhance clinical and operational outcomes is contributing to market growth. The pressure for cutting down spending is rising globally as the cost of healthcare is growing faster than the growth of economies. Advancements in healthcare IT present opportunities to cut down spending by improving care delivery and clinical outcomes. Thus, the demand for AI technologies is expected to increase in the coming years.

Moreover, the ongoing COVID-19 pandemic and the introduction of technologically advanced products to improve patient care are factors anticipated to drive growth further in the coming years.The ongoing COVID-19 pandemic is further driving the adoption of AI in various applications such as clinical trials, diagnosis, and virtual assistants to add value to health care by analyzing complicated medical images of patients complications and supporting clinicians in detection as well as diagnosis.

Moreover, an increase in the number of AI startups coupled with high investments by venture capitalist firms for developing innovative technologies that support fast and effective patient management, due to a significant increase in the number of patients suffering from chronic diseases, is driving the market.

In addition, the shortage of public health workforce has become a major concern in many countries around the world.This can mainly be attributed to the growing demand for physicians, which is higher than the supply of physicians.

As per the WHO estimates in 2019, the global shortage of skilled personnel including nurses, doctors, and other professionals was approximately 4.3 million. Thus, the shortage of a skilled workforce is contributing to the demand for artificial intelligence-enabled systems in the industry.

Artificial Intelligence In Healthcare Market Report Highlights The market is anticipated to witness significant growth over the forecast period owing to the rapidly increasing application of artificial intelligence in this space The software component segment dominated the market in 2020 owing to the increased development of AI-based software solutions The clinical trials segment dominated the market in 2020 owing to the easy commercial availability of AI-based product in clinical trial applications that use AI technology to identify patterns from doctor-patient interaction related data to deliver a personalized medicine North America dominated the market in 2020 owing to the growing adoption of healthcare IT solutions, increasing funding for the development of AI capabilities, and the well-established healthcare sectorRead the full report: https://www.reportlinker.com/p06096560/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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A period that had been broadly described as engagement has come to an end, Kurt Campbell, the Indo-Pacific Coordinator at the United States (US) National Security Council, told a virtual audience in May on the subject of US-China relations. The dominant paradigm is going to be competition.

On several occasions, Campbell has highlighted that one of the major arenas of this competition will concern technology. This is increasingly reflected in US national security structures. Today, there is both a senior director and coordinator for technology and national security at the White House; the National Economic Council has briefed the Cabinet on supply chain resilience; and the focus of Department of Defense policy reviews have been on emerging military technologies.

The subject of intensifying technology competition is also making its way into new US avenues for cooperation with partners, including with India. This could take the form of bilateral cooperation, coordination at multilateral institutions, or through loose coalitions such as Quad. At the virtual summit in March of Quad, the four leaders (of India, Japan, Australia and the US) agreed, among other things, to establish a working group on critical and emerging technologies, which has already convened.

Artificial Intelligence (AI) has emerged as one technology of particular importance because of its role as an accelerator, its versatility, and its wide applicability. Driven by recent breakthroughs in machine learning made possible by plentiful data, cheap computing power, and accessible algorithms, AI is a good bellwether for the possibilities and challenges of international cooperation on emerging technologies. It is also incredibly lucrative, and may generate hundreds of billions of dollars in revenue over the coming decade.

There are some obvious areas of commonality and cooperation between India, the US, and other partners when it comes to AI. For example, there is a similar concern about developing AI in a broadly democratic setting. AI can be used in many positive ways to foster innovation, increase efficiency, improve development, and enhance consumer experience. For India, AI deployment will be tied closely to inclusive growth and its development trajectory, with potentially positive implications for agriculture, health, and education, among other sectors.

But AI can also be used for a host of undesirable purposes generating misinformation, criminal activity, and encroaching upon personal privacy. Quad countries and others including in Europe and North America generally seek partners amenable to broadly upholding a responsible, human-centric approach to AI.

Additionally, despite the nominally more nationalistic rhetoric (e.g. Build Back Better, Atmanirbhar Bharat), there is a fundamental recognition that international partnerships are valuable and necessary. AI development and deployment is inherently international in character.

Basic and applied research involves collaborations across universities, research centres, and countries. Data can be gathered more easily, a lot of development relies on open-source information, and funding for AI start-ups is a global enterprise. There is also a recognition that countries can learn from each others experiences and mistakes, and that the successful deployment of AI would serve as a model for others. India, for example, is one of the few developing countries large enough to marshal considerable resources for AI, in a manner that could be replicated, including in South Asia or Africa.

India and its partners also confront some similar challenges when it comes to the development and deployment of AI. One imperative involves nurturing, attracting, and retaining the requisite talent. According to Macro Polos Global AI Talent Tracker, 12% of elite AI researchers in the world received their undergraduate degrees from India, the most after the United States (35%) and more than China (10%). Yet, very little top-tier AI research is being conducted in India (over 90% is taking place in the United States, China, European Union, Canada, and the UK).

Beyond talent, additional challenges lie in securing the necessary infrastructure; ensuring resilient supply chains, especially for components such as microprocessors; alignment on standards, governance, and procurement; and ensuring critical minerals and other raw materials required for the development of the necessary physical infrastructure.

Given that various governments have only recently established AI policies, and in some cases are still formulating them, international cooperation is still very much a work in progress. More detailed efforts will be outlined in the coming months and years.

Nevertheless, the contours of cooperation are already discernible. Some areas are proving relatively easy, such as coordination in the setting of standards at the multilateral level, which is already underway. Other areas will prove more challenging. Supply chain security and building resilience should theoretically be easier, given the political-level agreement on this issue. However, ensuring bureaucratic and regulatory harmonisation remains complicated. India and its partners may have the most trouble aligning their approaches to data a particularly touchy subject at the moment and, in the long-run, incentivising joint research and development.

The future looks bright for organic cooperation on AI the demand is there and India and its partners all hold relative strengths. But critical decisions made in the near future could have transformative effects for international cooperation on AI, which, in turn, could decisively shape the contours of what some have described as the Fourth Industrial Revolution.

Dhruva Jaishankar is executive director, ORF America

The views expressed are personal

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The promise and perils of Artificial Intelligence partnerships - Hindustan Times

rtificial intelligence (AI) may offer a way to accurately determine that a person is not infected with COVID-19. An international retrospective study finds that infection with SARS-CoV-2, the virus that causes COVID-19, creates subtle electrical changes in the heart. An AI-enhanced EKG can detect these changes and potentially be used as a rapid, reliable COVID-19 screening test to rule out COVID-19 infection.

The AI-enhanced EKG was able to detect COVID-19 infection in the test with a positive predictive value people infected of 37% and a negative predictive value people not infected of 91%. When additional normal control subjects were added to reflect a 5% prevalence of COVID-19 similar to a real-world population the negative predictive value jumped to 99.2%. The findings are published in Mayo Clinic Proceedings.

COVID-19 has a 10- to 14-day incubation period, which is long compared to other common viruses. Many people do not show symptoms of infection, and they could unknowingly put others at risk. Also, the turnaround time and clinical resources needed for current testing methods are substantial, and access can be a problem.

If validated prospectively using smartphone electrodes, this will make it even simpler to diagnose COVID infection, highlighting what might be done with international collaborations, says Paul Friedman, M.D., chair of Mayo Clinics Department of Cardiovascular Medicine in Rochester. Dr. Friedman is senior author of the study.

The realization of a global health crisis brought together stakeholders around the world to develop a tool that could address the need to rapidly, noninvasively and cost-effectively rule out the presence of acute COVID-19 infection. The study, which included data from racially diverse populations, was conducted through a global volunteer consortium spanning four continents and 14 countries.

The lessons from this global working group showed what is feasible, and the need pushed members in industry and academia to partner in solving the complex questions of how to gather and transfer data from multiple centers with their own EKG systems, electronic health records and variable access to their own data, says Suraj Kapa, M.D., a cardiac electrophysiologist at Mayo Clinic. The relationships and data processing frameworks refined through this collaboration can support the development and validation of new algorithms in the future.

The researchers selected patients with EKG data from around the time their COVID-19 diagnosis was confirmed by a genetic test for the SARS-Co-V-2 virus. These data were control-matched with similar EKG data from patients who were not infected with COVID-19.

Researchers used more than 26,000 of the EKGs to train the AI and nearly 4,000 others to validate its readings. Finally, the AI was tested on 7,870 EKGs not previously used. In each of these sets, the prevalence of COVID-19 was around 33%.

To accurately reflect a real-world population, more than 50,000 additional normal EKGs were then added to reach a 5% prevalence rate of COVID-19. This raised the negative predictive value of the AI from 91% to 99.2%.

Zachi Attia, Ph.D., a Mayo Clinic engineer in the Department of Cardiovascular Medicine, explains that prevalence is a variable in the calculation of positive and negative predictive values. Specifically, as the prevalence decreases, the negative predictive value increases. Dr. Attia is co-first author of the study with Dr. Kapa.

Accuracy is one of the biggest hurdles in determining the value of any test for COVID-19, says Dr. Attia. Not only do we need to know the sensitivity and specificity of the test, but also the prevalence of the disease. Adding the extra control EKG data was critical to demonstrating how a variable prevalence of the disease as we have encountered with regions having widely different rates of disease at different stages of the pandemic would impact how the test would perform.

This study demonstrates the presence of a biological signal in the EKG consistent with COVID-19 infection, but it included many ill patients. While it is a hopeful signal, we must prospectively test this in asymptomatic people using smartphone-based electrodes to confirm that it can be practically used in the fight against the pandemic, notes Dr. Friedman. Studies are underway now to address that question.

Reference: 15 June 2021, Mayo Clinic Proceedings.

This study was designed and conceived by Mayo Clinic investigators, and the work was made possible in part by a philanthropic gift from the Lerer Family Charitable Foundation Inc., and by the voluntary support from participating physicians and hospitals around the world who contributed in an effort to combat the COVID-19 pandemic. Technical support was donated by GE Healthcare, Philips and Epiphany Healthcare for the transfer of EKG data.

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Artificial Intelligence for Rapid Exclusion of COVID-19 Infection - SciTechDaily