AI, academia => real-world
New AI architectures are easy to admire and difficult to evaluate. Drawing from my experience as a computational neuroscientist, founder and CEO, I look at how scientific evidence, intellectual property,…
As AI moves from data centers into robots, cameras, factories, vehicles and intelligent sensors, the distinction between the neural architecture and the hardware executing it becomes increasingly difficult to maintain.…
What happens when an AI idea leaves the laboratory and has to survive customers, hardware constraints, venture capital, factories, robots and the physical world? After nearly two decades building Neurala,…