If the hallmark of intelligence is problem solving, then it should be no surprise that artificial intelligence is being called on to solve complex problems that human intelligence alone cannot. Intellectual property laws exist to reward intelligence, creativity and problem solving; yet, as society adapts to a world immersed in artificial intelligence, the nation's intellectual property laws have yet to do the same. The Constitution seems to only contemplate human inventors when it says, in Article I, Section 8, Clause 8, "The Congress shall have Power … To promote the Progress of Science and useful Arts, by securing for limited Times to Authors and Inventors the exclusive Right to their respective Writings and Discoveries." The Patent Act similarly seems to limit patents to humans when it says, at 35 U.S.C. § 100(f), "The term'inventor' means the individual or, if a joint invention, the individuals collectively who invented or discovered the subject matter of the invention." Recognizing the need to adapt, the U.S. Patent and Trademark Office (PTO) recently issued notices seeking public comments on intellectual property protection related to artificial intelligence.

A large public research university figured out how to tap the power of artificial intelligence and human intelligence to produce impressive gains in student success. Over the past ten years, the University of South Florida (USF) has experienced dramatic improvement in student success, as measured by the first-year persistence rate, the four-year graduation rate, and the six-year graduation rate. Each of those metrics has improved substantially. To promote persistence and completion, the university implemented a wide array of programs, practices, and policies based on a campus Student Success Task Force Report released in April 2010. These initiatives included many of the standard student success initiatives in place at many other colleges and universities, including living learning communities, the professionalization of academic advising, gradual increases in admissions requirements, course redesigns, expansion of on-campus housing, and promotion of student engagement.

Washington State University researchers are creating the first-ever "IQ test" for artificial intelligence (AI) systems that would score systems on how well they learn and adapt to new, unknown environments. Diane Cook, Regents Professor and Huie-Rogers Chair Professor, and Larry Holder, professor in the School of Electrical Engineering and Computer Science, received a grant of just over $1 million from the Defense Advanced Research Projects Agency (DARPA) to create a framework to test the "intelligence" of AI systems. "Previously, research on measuring intelligence in AI systems has been mostly theoretical," Holder said. Holder and Cook will design a test that will grade AI systems based on the difficulty of problems that they can solve. Creating methods to rank problems on their difficulty will be one of the major parts of the research.

Recognition of the powerful pattern matching ability of humans is growing. As a result, humans are increasingly being deployed to make decisions that affect the well-being of other humans. We are starting to see the use of human decision makers in courts, in university admissions offices, in loan application departments, and in recruitment. Soon humans will be the primary gateway to many core services. The use of humans undoubtedly comes with benefits relative to the data-derived algorithms that we have used in the past.

Technology is reshaping the operating-model of financial institutions fundamentally, and the attributes necessary to build a successful business. AI is weakening various components of incumbent financial institutions, thereby creating an opportunity for an entirely new operating-models and category-dynamics focused on the scale and sophistication of product, tech & data much more than the scale or complexity of capital. Unlike past'AI Springs', the science and practice of AI is poised to continue an unprecedented multi-decade run of progress. A clear vision of the future financial landscape is critical for good governance and strategic decisions. AI systems will eventually underwrite credit and insurance across the world.

With so many of today's shipping operations automated, there is a tendency to take what the computer states as the absolute truth. But a computer is only as reliable as the data it's fed. This is especially true for vessels at sea because of the limitations to sending and receiving data in remote locations. Masters, under pressure to meet what is often a critical Required Time of Arrival (RTA), benefit most from a combination of computer output (specifically, the onboard software NaviPlanner BVS) and the advice of StormGeo's shore-based Route Analyst experts. Located in the UK and the on the East and West Coasts of the U.S., these Route Analysts have access to a plethora of data unavailable onboard, which makes their advice invaluable.

Washington State University researchers are creating the first-ever "IQ test" for artificial intelligence (AI) systems that would score systems on how well they learn and adapt to new, unknown environments. Diane Cook, Regents Professor and Huie-Rogers Chair Professor, and Larry Holder, professor in the School of Electrical Engineering and Computer Science, received a grant of just over $1 million from the Defense Advanced Research Projects Agency (DARPA) to create a framework to test the "intelligence" of AI systems. "Previously, research on measuring intelligence in AI systems has been mostly theoretical," Holder said. Holder and Cook will design a test that will grade AI systems based on the difficulty of problems that they can solve. Creating methods to rank problems on their difficulty will be one of the major parts of the research.

NAVSEA, Naval Surface Warfare Center, Crane Division has been using Instaknow-ACE software for the last two years for several important applications. We have found this innovative Information Technology tool to be ideal for the 21st Century Information Age. The efficiencies this tool brings to the business models are enormous. We have found that extracting data from the different sources and turning this into enriched information allows you to readily obtain knowledge for solid System Engineering judgments.

Bitlattice has or can have implemented instrumentation needed to act as a neural network. That idea is wild, but ultimately possible and potentially beneficial. While the globe wide network in this mode won't be fast (due to physical limitations of signals speed and delays of network) the fact that the middle layer contains far less nodes than actual number of participating devices makes that idea at least possible to implement. The practical aspect here could be, for instance, making a "feeling planet" like project.

When I hear news about "AI" these days, what is often meant are methods for pattern recognition and approximations of complex functions, most importantly in the form of Machine Learning. It is true that we have seen impressive applications of Machine Learning systems in a number of different industries such as product personalization, fraud detection, credit risk modeling, insurance pricing, medical image analysis, or self-driving cars. What is the origin of intelligent behavior? Intelligent behavior is the capability of using one's knowledge about the world to make decisions in novel situations: people act intelligently if the use what they know to get what they want. The premise of AI research is that this type of intelligence is fundamentally computational in nature, and that we can therefore find ways to replicate it in machines.