Python fits into quantitative and algorithmic trading education because it connects ideas with implementation. It removes unnecessary barriers while still supporting advanced exploration. It allows ...

Forget playing Doom on a calculator. Now you can play it with a clump of brain cells--no brainstem necessary.

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

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Our new patent-pending BMS has been released on our first two models Z-Viper and Z-Python. Please visit our website for ...

New NASA-level software framework reproduces DUT vs ΛCDM results, resolving Hubble and growth tensions with Δχ² = ...

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 ...

Yann LeCun’s new startup AMI launched with a $1.03 billion seed round to build AI “world models,” betting against the LLM-first approach.

In a wild experiment, it turns out a few human neurons linked up to some custom silicon can actually play Doom.

Jane Cai was named BYU’s 2026 Student Employee of the Year, with Miranda Hulme earning second place and Jackson Guthrie in third.

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 ...

VENTUNO Q eliminates multi-device complexity because it delivers synchronized perception, decision, and action on a single board. The main processor runs Ubuntu and Linux Debian with upstream support, ...