A partnership with Sam Altman and Elon Musk’s OpenAI looks to be a win-win for both companies. But a “holy grail” breakthrough is likely decades away.

They’re known as deepfakes – photos or videos that have been very convincingly manipulated to depict people saying or doing things that they never actually said or did. They’re potentially quite the problem, so an experimental new deep neural network has been designed to spot them.
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!
[5:09–10:46] Following that we’ll discuss, the benefits of cognitive computing systems further as well as current cognitive computing initiatives, TrueNorth and Loihi.
[10:46–17:11] To conclude we’ll extrapolate and discuss the future of cognitive computing in terms of brain simulation, artificial intelligence and brain-computer interfaces!
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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.
Infusions of artificial intelligence (AI) are making robots smart, social, and capable of interacting with people of all ages in a variety of settings.