Nvidia ( NVDA) CEO Jensen Huang unveiled Alpamayo, a family of open models built for autonomous driving, during his keynote ...

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.

He called for evolving the classic "bicycles for the mind" concept, originally coined by Former Apple CEO Steve Jobs, to position AI as scaffolding for human potential.

Abstract: In order to represent the influences of different semantics on targets and improve the prediction with interpretability ability for multi-dimensional time series, we integrate Axiomatic ...

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...

Chinese robotics firm Unitree has launched what it claims is the world's first robot app store, now in public beta for i ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

MemoryVLA is a Cognition-Memory-Action framework for robotic manipulation inspired by human memory systems. It builds a hippocampal-like perceptual-cognitive memory to capture the temporal ...

Cue the Terminator soundtrack; Foundation's Phantom is itching for deployment.