Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Abstract: Dedicated neural-network inference-processors improve latency and power of the computing devices. They use custom memory hierarchies that take into account the flow of operators present in ...

Comedian Jay Pharoah, War featuring San Diego native Leroy “Lonnie” Jordan, the Borrego Springs Film Festival and more ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

Developed using Anthropic’s Claude AI model, the new language is intended to provide memory safety without garbage collection ...

Rust-based inference engines and local runtimes have appeared with the shared goal: running models faster, safer and closer ...

Abstract: This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model predictive control (MPC) for car-following control of connected automated vehicles (CAVs) in ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.