Google unveils Gemma 4 12B for local AI agents, coding, and multimodal reasoning

Google DeepMind has introduced Gemma 4 12B, a new open-weight multimodal model designed to bring agentic intelligence ...
HotHardware

Tensordyne Claims 8x AI Efficiency Boost Over NVIDIA Using Logarithmic Math

About a year ago, an AI startup known as Recogni announced a patented number system for AI math, known as Pareto. Pareto is a logarithmic system, meaning that it stores numbers using their logarithmic ...
GitHub

nvmath-python: NVIDIA Math Libraries for the Python Ecosystem

nvmath-python brings the power of the NVIDIA math libraries to the Python ecosystem. The package aims to provide intuitive pythonic APIs giving users full access to all features offered by NVIDIA's ...
IEEE

Gen-AI in a Bottle: Experiments with LLMs to Generate HPC Kernels

Abstract: Numerical libraries derive performance from highly specialized code – known as kernels/microkernels – written by experts. Reliance on a small group of experts poses challenges to the ...
Frontiers

Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...
GitHub

Complex multiplication returns different results if wrapped in np array

I'm trying to restrict the problem, but for now it seems that with newer numpy versions on x64 certain complex products return different results depending on whether the operands are wrapped in a ...
MIT Technology Review

Google DeepMind used a large language model to solve an unsolved math problem

They had to throw away most of what it produced but there was gold among the garbage. Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper ...