These needs are the foundation for a new Critical AI in Education Pathways micro-credential course developed by Baran and her ...

Quick lookWith the rapid evolution of artificial intelligence tools, teachers may find themselves learning AI technology at ...

A transformer is a neural network architecture that changes data input sequence into an output. Text, audio, and images are ...

No, this isn’t science fiction. Real-life researchers taught a dish of roughly 200,000 living human brain cells to play the classic 1990s computer game “Doom.” Experts at Cortical Labs, an Australian ...

Katie has a PhD in maths, specializing in the intersection of dynamical systems and number theory. She reports on topics from maths and history to society and animals. Katie has a PhD in maths, ...

What just happened? Following news that its human brain cell-powered computer can run Doom, Australian biotech startup Cortical Labs has announced it is working on two small data centers running on ...

Add Popular Science (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results.

In 2022, Cortical Labs demonstrated a culture of lab-grown human brain cells playing Pong. Now the company claims it has trained its CL-1 chip, composed of 200,000 neurons, to play Doom. Data from the ...

First look: Australian biotech startup Cortical Labs has crossed another boundary in biological computing. Its latest hardware platform, the CL1, uses living human neurons as the core of a fully ...

A clump of human brain cells can play the classic computer game Doom. While its performance is not up to par with humans, experts say it brings biological computers a step closer to useful real-world ...

While Elon Musk’s Neuralink likes to say it’s “pioneering” brain-computer interfaces (BCIs), China’s BCI industry is already quietly moving from research to scale. A new wave of startups is racing to ...

Human language may seem messy and inefficient compared to the ultra-compact strings of ones and zeros used by computers—but our brains actually prefer it that way. New research reveals that while ...