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 ...

Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...

Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.

Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ASIC designs without replacing your existing simulator.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

AI is beginning to make inroads into designing and managing programmable logic, where it can be used to simplify and speed up portions of the design process. FPGAs and DSPs are st ...

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...

Bruno, Fx, ActivityWatch, DDEV, and TLDR Pages are all dev tools that you should try out because they're much better than ...

While Anthropic’s Claude Code grabbed headlines, IBM has been deploying its own generative AI solution, Watsonx Code Assistant for Z, designed to modernize the very mainframes it built. Unlike general ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Container instances. Calling docker run on an OCI image results in the allocation of system resources to create a ...