Is Intel Labs' brain-inspired AI approach the future of robot learning?

Join us on November 9 to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers at the Low-Code/No-Code Summit. Can computer systems develop to the point where they can think creatively, identify people or items they have never seen before, and adjust accordingly -- all while working more efficiently, with less power? Intel Labs is betting on it, with a new hardware and software approach using neuromorphic computing, which, according to a recent blog post, "uses new algorithmic approaches that emulate how the human brain interacts with the world to deliver capabilities closer to human cognition." While this may sound futuristic, Intel's neuromorphic computing research is already fostering interesting use cases, including how to add new voice interaction commands to Mercedes-Benz vehicles; create a robotic hand that delivers medications to patients; or develop chips that recognize hazardous chemicals. Machine learning-driven systems, such as autonomous cars, robotics, drones, and other self-sufficient technologies, have relied on ever-smaller, more-powerful, energy-efficient processing chips.