Explore LLM On-Premise

Complete guide to running AI models locally: hardware, stack, and privacy.

ML-LIB: Machine Learning Library Proposed For The Linux Kernel

An IBM engineer has proposed a machine learning library (ML-LIB) for the Linux kernel. The intent is to plug in running ML models directly into the kernel to op

TensorFlow 2.20: nuove funzionalità e miglioramenti

TensorFlow 2.20 introduce una serie di novità, tra cui la deprecazione del modulo tf.lite e l'introduzione di LiteRT, un nuovo framework per l'inference su disp

kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning

kooplearn is a machine-learning library that implements linear, kernel, and deep-learning estimators of dynamical operators and their spectral decompositions.

KernelFalcon: Deep Agent Architecture for Autonomous GPU Kernel Generation

The article describes a new deep agent architecture, KernelFalcon, designed to generate autonomous GPU kernels. The approach combines code generation with corre

Google DeepMind and UK AI Security Institute strengthen collaboration on critical AI safety and security research

Google DeepMind and UK AI Security Institute strengthen collaboration on critical AI safety and security research

PyTorch Docathon 2026: Over 150 Pull Requests Enhance Documentation

Dimensional Balance: New Perspectives for Large-Scale Spatiotemporal Prediction

LM Studio Introduces Support for MTP Speculative Decoding

Anthropic Acquires Stainless: Impact on OpenAI and Google's SDK Tooling

Google I/O 2026: Stitch, a New Vision for AI Development and Design

Vim Integrates GTK4 Support, Modernizing Its Graphical Interface