Researchers at MIT will explore the fundamentals of human intelligence in order to build AI systems that learn like babies.
The news: The university has announced Intelligence Quest (or MIT IQ), a new institute-wide initiative to learn more about human intelligence and create new AI-based technologies.
The goal: No specific projects were announced. But Anantha Chandrakasan, the dean of MIT’s School of Engineering, says the plan is to try to “reverse-engineer human intelligence.” In the longer term, says Josh Tenenbaum, an MIT professor of cognitive science and computation, the aim is to build “a machine that learns like a baby and then a child.”
Why it matters: Right now, a three-month-old baby is smarter than any AI. So if it works, the research could provide a whole new class of machine intelligence that could change nearly every industry. And MIT has over 200 world-leading experts in disciplines like AI, cognitive science, and neuroscience—so it has as good a shot as anyone at making it happen.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
Deep learning pioneer Geoffrey Hinton has quit Google
Hinton will be speaking at EmTech Digital on Wednesday.
The future of generative AI is niche, not generalized
ChatGPT has sparked speculation about artificial general intelligence. But the next real phase of AI will be in specific domains and contexts.
Video: Geoffrey Hinton talks about the “existential threat” of AI
Watch Hinton speak with Will Douglas Heaven, MIT Technology Review’s senior editor for AI, at EmTech Digital.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.