Tag: Brain

AIInnovationStartups

Sam Altman’s Merge Labs Taps Caltech Scientist for Non-Invasive Brain Tech

Sam Altman is building a brain-computer interface startup called Merge Labs that will take a dramatically different approach from Neuralink. The OpenAI CEO has recruited Caltech biomolecular engineer Mikhail Shapiro, whose work focuses on using ultrasound and gene therapy to read brain activity without surgery. The hiring signals Altman’s preference for non-invasive neural interfaces over approaches that require implanting electrodes in the brain.

A Different Path to Brain-Computer Interfaces

Sam Altman is quietly assembling the pieces for his next major venture, and it’s shaping up to be a direct challenge to Neuralink’s vision of how humans should interface with machines. According to sources familiar with the matter, Altman has recruited Caltech professor Mikhail Shapiro—an award-winning biomolecular engineer—to join Merge Labs, a brain-computer interface startup expected to launch publicly in the coming weeks.

by Ryan Holbrook
AIResearchScience

Deep Neural Networks Show Striking Alignment with Human Brain Activity, Studies Reveal

Cutting-edge research reveals deep neural networks are developing representations that closely mirror human brain activity. Multiple studies demonstrate this alignment spans visual perception, language processing, and conceptual understanding, suggesting these models capture fundamental aspects of biological intelligence.

Neural Networks Mirror Biological Intelligence

Recent studies in cognitive computational neuroscience indicate that deep neural networks are developing representations that increasingly align with human brain activity, according to reports in Nature Machine Intelligence. Over the past decade, these computational models have transformed research at the intersection of cognitive science, computational neuroscience, and artificial intelligence, with sources suggesting they achieve unprecedented predictive accuracy compared to traditional modeling approaches.

by Carter Wells