Your brain adapts to whatever you consistently demand from it. Constant AI exposure erodes the mental muscles we need, and a ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

AWS Trainium3 AI chips are the best inference platform in world, says CEO Matt Garman, with new agentic AI innovation ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

To better understand human cognition, scientists trained a large language model on 10 million psychology experiment questions. It now answers questions much like we do. By Carl Zimmer Companies like ...

When working with minimal APIs in ASP.NET Core, you can define routes for the HTTP verbs using mapping methods such as MapGet, MapPut, MapPost, and MapDelete. While these methods allow you to route ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...