He also explains where he draws inspiration from in his research, and why robotics has yet to meet science fiction. Vijay Kumar is the Nemirovsky Family Dean of Penn Engineering with appointments in the Departments of Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineering at the University of Pennsylvania. Kumar's group works on creating autonomous ground and aerial robots, designing bio-inspired algorithms for collective behaviors, and on robot swarms. They have won many best paper awards at conferences, and group alumni are leaders in teaching, research, business and entrepreneurship. Kumar is a fellow of ASME and IEEE and a member of the National Academy of Engineering.

"Read enough so you start developing intuitions and then trust your intuitions and go for it!" If you find a course that fits in any of the above categories (i.e. DL, ML, RL, CV, NLP), and the course has lecture videos (with slides being optional), then please raise an issue or send a PR by updating the course according to the above format.

For patients seeking relief from depression, it can take months to pin down an effective treatment. But brain wave patterns could potentially help to predict how individual patients would respond to an antidepressant before treatment even begins, according to a new study published Feb. 10 in the journal Nature Biotechnology. The study addresses one of psychiatry's fundamental challenges: a lack of tests that can help doctors decide the best treatment options for patients with depression, said study co-author Dr. Madhukar Trivedi, a psychiatry professor at UT Southwestern Medical Center in Dallas. Instead, Trivedi said, providers rely on a trial-and-error process in which patients try out medications on six- to eight-week cycles. This imprecise method contributes to a general perception that antidepressants are ineffective, added Dr. Amit Etkin, study co-author and a professor of psychiatry at Stanford University.

The future of work: What does this term really mean? Much discussion has focused on artificial intelligence and whether or not robots will take our jobs, but cognitive technologies are only one aspect of the massive shift that is under way. To understand what's going on and, more importantly, what we can do about it, it's important to consider multiple converging trends and how they are already fundamentally changing all aspects of work--with implications for individuals, businesses, and society. We define the future of work as a result of many forces of change affecting three deeply connected dimensions of an organization: work (the what), the workforce (the who), and the workplace (the where) (figure 1). The new realities created by these forces of change present us with complex questions to consider--including ethics around human-machine collaboration, how we plan for 50–60-year careers,1 and how we unleash organizations through a continuum of talent sources.

In a data-driven world, technology companies are playing a vital role for the National Football League especially at the Scouting Combine. One of those companies, Sparta Science, will finish its fourth year collecting data from players for the medical assessment segment of testing at the NFL's top pre-draft event in Indianapolis. The company, founded by Dr. Phil Wagner, uses equipment and software to test a player's movement, which assists in identifying areas of muscle overload. But most importantly, the data also has the capability of predicting future injury risks. "It speaks the new era we're in right now," Wagner told CNBC in an interview.

ARMONK, NY & REDWOOD CITY, CA – February 27, 2020 – IBM (NYSE: IBM) and C3.ai, a leading enterprise AI software provider, today announced a global strategic alliance to bring enterprise artificial intelligence (AI) solutions across industries globally. With the combined expertise of the IBM Services global delivery network and C3.ai's platform, this alliance is designed to help fast-track the delivery of enterprise-scale industry and domain specific AI applications, shorten the time to value and accelerate the scaling of mission-critical solutions. Under the terms of the agreement, IBM will become the first preferred global systems integrator for the C3.ai platform. "It takes a sophisticated ecosystem of partners to help companies realize the promise and opportunity of digital transformation," said Thomas M. Siebel, CEO, C3.ai. "C3.ai and IBM Services offer a powerful platform for companies seeking to dramatically reduce cost and risk, accelerate deployment, and quickly generate financial returns from their digital transformation programs."

The global manufacturing world seems to be travelling back in time. Large production plants and long assembly lines, where goods were mass produced in hundreds and thousands, may become a thing of the past. Instead we are witnessing a growing demand for products that are highly-customized to the needs of individual end customers. This is much like the years preceding the First Industrial Revolution when each product was painstakingly crafted by hand. The digital transformation of businesses allows to capitalize on the benefits of digital tools such as smart sensors, cloud computing and the Internet to add value to existing manufacturing processes.

This sorting and shifting process has allowed researchers from Linköping University to discover new groups of disease-related genes. The basis of the technology should help to advance precision (personalized) medicine leading to more reliable forms of individualized treatments for different conditions. The biotechnology is orientated towards constructing maps of biological networks. These networks relate to how different proteins or genes interact with each other. This is a complex task and the application of artificial intelligence has helped to make the process easier.

Everything starts with a good business case that aligns with urban strategy. Business cases should start with the needs of the citizen or the business.

One of the seminal texts for anyone interested in technology and society is Melvin Kranzberg's Six Laws of Technology, the first of which says that "technology is neither good nor bad; nor is it neutral". By this, Kranzberg meant that technology's interaction with society is such "that technical developments frequently have environmental, social and human consequences that go far beyond the immediate purposes of the technical devices and practices themselves, and the same technology can have quite different results when introduced into different contexts or under different circumstances". The saloon-bar version of this is that "technology is both good and bad; it all depends on how it's used" – a tactic that tech evangelists regularly deploy as a way of stopping the conversation. So a better way of using Kranzberg's law is to ask a simple Latin question: Cui bono? With any general-purpose technology – which is what the internet has become – the answer is going to be complicated: various groups, societies, sectors, maybe even continents – win and lose, so in the end the question comes down to: who benefits most?