Matcha model makes drug candidate screening more than 30 times faster

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
eWeekOpinion

OpenAI Buys Its Own Livestream Megaphone

OpenAI confirmed last Thursday that it's acquiring Technology Business Programming Network (TBPN), the three‑hour daily ...
Chiang Rai Times

Google Launches Gemma 4: Open Models from Gemini 3

Google dropped Gemma 4 on April 2, 2026, and it's a game-changer for anyone building AI. These open models pull smarts straight from Gemini 3, Google's top ...
IEEE

A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems

Abstract: The safety and reliability of Automated Driving Systems (ADSs) must be validated prior to large-scale deployment. Among existing validation approaches, scenario-based testing has been ...
IEEE

Test-Time Adaptation Improves Inverse Problem Solving With Patch-Based Diffusion Models

Abstract: Diffusion models have achieved excellent success in solving inverse problems due to their ability to learn strong image priors, but existing approaches require a large training dataset of ...
eWeek

Qwen3.5-Omni Debuts as Alibaba’s Most Advanced Multimodal AI Model Yet

Omni, a fully omnimodal AI model with strong benchmark results, multilingual support, and new audio-visual coding ...

Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...