Consciousness is a famously hard problem, so Hod Lipson is starting from the basics: with self-aware robots that can help us understand how we think.
Countdown to the 50th anniversary of the Moon landing: We’re proud to join NASA’s quest to return to the Moon! We’re contributing Canadarm3, a smart robotic system that will help maintain the Lunar Gateway, a small space station in lunar orbit!
Video: CSA/NASA
Electrical muscle stimulation can speed up human reflexes. But can we use it without giving up control of our bodies?
This video is the eleventh in a multi-part series discussing computing. In this video, we’ll be discussing what cognitive computing is and the impact it will have on the field of computing.
[0:28–5:09] Starting off we’ll discuss, what cognitive computing is, more specifically – the difference between current computing Von Neuman architecture and more biologically representative neuromorphic architecture and how these two paired together will yield massive performance and efficiency gains!
Continue reading “What Is Neuromorphic Computing (Cognitive Computing)” »
For a humble, microscopic worm with only 302 neurons, C. elegans has had a lot of firsts. It was the first multicellular animal to have its whole genome sequenced. It was also the spark that lit the connectome fire—the revolutionary idea that mapping the entirety of connections among neurons will unveil secrets of our minds, memory, and consciousness. And if the connectomists are to be believed, a map of individual brains may be the blueprint that will one day hurtle AI into human-level intelligence, or reconstruct an entire human mind in digital form.
More than 30 years ago, a pioneering group of scientists painstakingly traced and reconstructed the roundworm’s neural wiring by hand. The “heroic” effort, unaided by modern computers and brain-mapping algorithms, resulted in the first connectome in 1986.
Yet the “mind of the worm” map had significant lapses. For one, it only focused on one sex, the hermaphrodite—a “female” equivalent that can self-fertilize. This makes it hard to tell which connections are universal for the species, and which are dependent on sex and reproduction. For another, because the effort relied entirely on human beings who get tired, bored, and mess up, the map wasn’t entirely accurate. Even with multiple rounds of subsequent refinements, errors could linger, which would royally screw up any interpretation of results using these maps.
Conventional computers need orders of magnitude more energy than the “computer” in our heads. Neural networks made of superconducting nanowires might come much closer to the real thing.
Law enforcement needs to be innovative and act now in order to keep face with near future criminal threats, warns ‘Do criminals dream of electric sheep’ paper.
Infusions of artificial intelligence (AI) are making robots smart, social, and capable of interacting with people of all ages in a variety of settings.
Lex Fridman, a Postdoctoral Associate at the MIT AgeLab, had a conversation with Kai-Fu Lee on Chinese soul, Difference between cultures of AI engineering, Role of data in near-term impact of AI, Impact of AI on jobs, Facing mortality and other issues.
Lex Fridman, had a conversation with Kai-Fu Lee on Chinese soul, Difference between cultures of AI engineering, Role of data in near-term impact of AI, Impact of AI on jobs, Facing mortality.
Robots are making their way into New York City’s restaurants.
A growing number of dining spots throughout town are using machines to prepare all manner of food and drink, in many cases replacing the employees who would normally handle the task. Think gizmos that can do everything from slice a sushi roll into eight uniform pieces to mix the perfect happy-hour cocktail.
