The South Florida Water Management District is in its second year of managing a Python Removal Program. Winners win cash ...

Researchers at Australian start-up Cortical Labs have taught human neurons grown on a chip to play the classic Doom game. In 2021, they had already used 800,000 neurons to play Pong. Now, with four ...

In 2024, Elon Musk's Neuralink implant allowed a quadriplegic patient to play RuneScape and Slay the Spire in his brain. But now, scientists are taking things further, training lab-grown brain cells ...

Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

A biocomputer powered by lab-grown human brain cells has leveled up from Pong to Doom. While nowhere ready to handle the video game shooter’s most challenging levels, researchers at Cortical Labs in ...

So, you’re wondering which programming language is the absolute hardest to learn in 2026? It’s a question that pops up a lot, ...

Schizophrenia risk may reflect two brain pathways with different cortical and subcortical balance. Early language learning ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird.

Scientists placed 200,000 living human brain cells on a microchip and taught it how to play a doomsday video game — and are now using the dystopian tech to power AI data centers. Australian biotech ...

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...

Expert birdwatchers have brain differences that may underlie their remarkable ability to identify unfamiliar birds and suggest that birdwatching can reshape the brain in much the same way as learning ...

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 ...