Artificial Intelligence (AI) is a key driver for innovation in the global digital reality market, which includes immersive technologies such as virtual reality (VR), augmented reality (AR), X Reality (XR or Cross Reality) and Artificial Intelligence (AI) itself. Various reports project that advancements in technology such as 5G, artificial intelligence, edge computing, and robotics are expected to transform the augmented and virtual reality experiences in the near future. One by ResearchAndMarkets stated that: "The immersive technology market, including augmented and virtual reality, is expected to see huge growth in the next 5 years. Technological advancements such as 5G and artificial intelligence will transform the augmented and virtual experiences in the future. Some of the significant impacts of 5G across sectors could be enabling virtually crafted workplaces and fully interactive and emulating in-office work environments. Active companies in the markets this week include Micron Technology, Inc., Hawkeye Systems, Inc. (OTCQB: HWKE), NVIDIA Corporation (NASDAQ: NVDA), Intel Corporation (NASDAQ: INTC), International Business Machines Corporation (NYSE: IBM). The report projected that: "The AR and VR market revenue is expected to reach $55.01 billion by 2021.

HIGHLIGHTS FROM DAY 1 WHERE IS IQ'WHALO? What will our generation be remembered for? This year marks the second IGF attended by UN Secretary-General António Guterres. His opening speech last year – together with French President Macron's speech – carried substantive reflections on the state of global digital policy, and an encouraging vision for the digital developments ahead of us. This year's opening speech couldn't be more different. Characterised by examples of how the Internet is being misused and exploited, Guterres gave a stark account of the profound issues which are affecting today's technology and tomorrow's developments. 'It is for me an enormous frustration to be that today, not only we are still building physical walls to separate people, but that there is also the tendency to create some virtual walls in the Internet also to separate people.' The three main divides – the digital divide, the social divide, and the political divide – are still profound.

Artificial intelligence is set to transform global productivity, working patterns, and lifestyles and create enormous wealth. Research firm Gartner expects the global AI economy to increase from about $1.2 trillion last year to about $3.9 Trillion by 2022, while McKinsey sees it delivering global economic activity of around $13 trillion by 2030. AI techniques, especially Deep Learning (DL) models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another -- image classification, object detection, object tracking, pose recognition, video analytics, synthetic picture generation -- just to name a few. They are being used in -- healthcare, I.T. services, finance, manufacturing, autonomous driving, video game playing, scientific discovery, and even the criminal justice system. However, they are like anything but classical Machine Learning (ML) algorithms/techniques.

Counterfactual explanations help users understand why machine learned models make certain decisions, and more specifically, how these decisions can be changed. In this work, we frame the problem of finding counterfactual explanations -- the minimal perturbation to an input such that the prediction changes -- as an optimization task. Previously, optimization techniques for generating counterfactual examples could only be applied to differentiable models, or alternatively via query access to the model by estimating gradients from randomly sampled perturbations. In order to accommodate non-differentiable models such as tree ensembles, we propose using probabilistic model approximations in the optimization framework. We introduce a novel approximation technique that is effective for finding counterfactual explanations while also closely approximating the original model. Our results show that our method is able to produce counterfactual examples that are closer to the original instance in terms of Euclidean, Cosine, and Manhattan distance compared to other methods specifically designed for tree ensembles.

AI systems are already creating works that, if created by a human, would warrant IP protection. Reports of AI-created art, music, literary works, data, technology, formulas, flavors, and other innovations are becoming increasingly common. In 2016, for example, a new "Rembrandt" portrait was unveiled in the Netherlands, generated by an AI system that analyzed more than 300 real paintings of the Dutch master and then used AI, facial recognition, and 3D printing technologies to create an entirely new work in the same style. In 2018, a portrait created using AI sold for $432,500 at auction. A novel publicized as being the first book written by AI was published last year.

I find these questions very interesting. During some recent study, I wrote a response to a different question'Will having robots around make people more or less lonely? I postulated that we will be lonelier when Robots offer an alternative to Human friendships. Suitable human companions will not be available, to those who seek them, because those potential companions all have chosen robotic friends. We have to factor in our human nature into all AI related questions.

NEW DELHI: Chief Justice of India (CJI) S A Bobde said on Tuesday that the Supreme Court has proposed to introduce a system of artificial intelligence (AI) which would aid in the administration of justice delivery. The CJI however made it clear that there should not be any impression that introduction of AI would ever substitute the judges. "We propose to introduce, if possible, a system of artificial intelligence. There are many things which we need to look at before we introduce it. We do not want to give the impression that this is ever going to substitute the judges," Justice Bobde said at the Constitution Day function organised by the Supreme Court Bar Association (SCBA).

Today, the practical synergies between economics and computer science are flourishing. We outline some of the many opportunities for the two disciplines to engage more deeply through the new MIT Schwarzman College of Computing." Nancy L. Rose is the Charles P. Kindleberger Professor of Applied Economics and head of the MIT Department of Economics, where her research and teaching focus on industrial organization, competition policy, and the economics of regulation. David Autor is the Ford Professor of Economics and co-director of the MIT Task Force on the Work of the Future. His scholarship explores the labor market impacts of technological change and globalization, earnings inequality, and disability insurance and labor supply.

Artificial intelligence (AI) has the potential to deliver significant social and economic benefits, including reducing accidental deaths and injuries, making new scientific discoveries, and increasing productivity.[1] However, an increasing number of activists, scholars, and pundits see AI as inherently risky, creating substantial negative impacts such as eliminating jobs, eroding personal liberties, and reducing human intelligence.[2] Some even see AI as dehumanizing, dystopian, and a threat to humanity.[3] As such, the world is dividing into two camps regarding AI: those who support the technology and those who oppose it. Unfortunately, the latter camp is increasingly dominating AI discussions, not just in the United States, but in many nations around the world. There should be no doubt that nations that tilt toward fear rather than optimism are more likely to put in place policies and practices that limit AI development and adoption, which will hurt their economic growth, social ...

The use of Artificial Intelligence (AI) is expanding and continually changing. The power of AI to accumulate considerable amounts of data for analytics, speech recognition, visual perception, learning, reasoning, inference, planning, decision-making is unlimited. The technological disruptions in this new age of rapid business transformation have moved corporate executives to pay greater attention to the challenges their analytics teams are facing and, to gauge their actions as AI is increasingly transforming the nature, scope and scale of work, affecting traditional business models, industries and culture in unprecedented ways. As a result, driving the adoption of AI must involve the C-Suite in the decision process. As the technologies continue to evolve, leaders, especially the Chief Data Officer (CDO) are elevated and have become increasingly crucial to lead the strategic direction, execution performance, change management and, business ethics for their companies.