Traveling to six countries in eighteen days, I journeyed with the goal of delving deeper into the roots of my family before World War II. As a child of refugees, my parents’ narrative is missing huge gaps of information. Still, more than seventy-eight years since the disappearance of my Grandmother and Uncles, we can only presume with a degree of certainty their demise in the mass graves of the forest outside of Riga, Latvia. In our data rich world, archivists are finally piecing together new clues of history using unmanned systems to reopen cold cases.
Europe is gearing up to launch an Artificial Intelligence Public Private Partnership (AI PPP) that brings together AI, data, and robotics. At its core is a drive to lead the world in the development and deployment of trustworthy AI based on EU fundamental rights, principles and values.
From flocks of birds to fish schools in the sea, or towering termite mounds, many social groups in nature exist together to survive and thrive. This cooperative behaviour can be used by engineers as “bio-inspiration” to solve practical human problems, and by computer scientists studying swarm intelligence.
As early as Homer, more than 2,500 years ago, Greek mythology explored the idea of automatons and self-moving devices. By the third century B.C., engineers in Hellenistic Alexandria, in Egypt, were building real mechanical robots and machines. And such science fictions and historical technologies were not unique to Greco-Roman culture.
It’s been two years since the last time I judged the Automate Startup Competition. More than any other trade show contest, this event has been an oracle of future success. In following up with the last vintage of participants, all of the previous entrees are still operating and many are completing multi-million dollar financing rounds. As an indication of the importance of the venue, and quite possibly the growth of the industry, The Robot Report announced last week that 2017 finalist, Kinema Systems was acquired by SoftBank’s Boston Dynamics.
As part of our programme of international science and policy dialogue about AI, last year we worked with the American Academy of Arts and Sciences to bring together leading researchers from across disciplines to consider the implications of AI for equality, transparency, and democracy.
My feet are aching, as usual, after 3 days on the CES show floor, and the question people always ask others there is “what have you seen that was interesting?”
I won’t say I didn’t see anything interesting, and I had a large number of rewarding conversations with all sorts of companies, making the trip very worthwhile, but I will say I saw less that was new and exciting than ever before. This may be a result of the show’s constant growth that meant in 3 days I still did not manage to get to 3 1/2 major rooms of the show, putting my focus on cars as I usually do.
Earlier this month, I crawled into Dr. Wendy Ju‘s autonomous car simulator to explore the future of human-machine interfaces at CornellTech’s Tata Innovation Center. Dr. Ju recently moved to the Roosevelt Island campus from Stanford University. While in California, the roboticist was famous for making videos capturing people’s reactions to self-driving cars using students disguised as “ghost-drivers” in seat costumes. Professor Ju’s work raises serious questions of the metaphysical impact of docility.
I have been doing research on intelligence for 30 years. Like most of my colleagues, I did not get involved in the field with the aim of producing technological objects, but because I have an interest in the the abstract nature of the notion of intelligence. I wanted to understand intelligence. That’s what science is: Understanding.
A day before snow hindered New York commuters, researchers at the University of Iowa and Princeton identified the growth of urbanization as the leading cause for catastrophic storm damage. Wednesday’s report stated that the $128 billion wake of Hurricane Harvey was 21 times greater due to the population density of Houston, one of America’s fastest growing cities. This startling statistic is even more alarming in light of a recent UN study which reported that 70% of the projected 9.7 billion people in the world will live in urban centers by 2050. Superior urban management is one of the major promises of autonomous systems and smart cities.