Protein design revolutionized: how AI is opening new doors for scientists worldwide

Bridging the technical divide in biological engineering Co-founders Tristan Bepler and Tim Lu developed the platform to ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

CoreWeave’s $1.4 billion bet just showed its first real payoff

CoreWeave (CRWV) released a public preview of ARIA on June 29, an AI agent built to analyze machine learning experiments ...
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...
i-SCOOP

From AGI to ASI: Inside Google DeepMind’s roadmap to superintelligence

Google DeepMind's new report maps four pathways from AGI to artificial superintelligence. Here's how scaling, paradigm shifts ...
GitHub

Ray Tune - Distributed Hyperparameter Tuning for Machine Learning

Ray Tune helps developers scale machine learning experiments, optimize model settings, and manage distributed training workflows efficiently. Download Ray Tune to run scalable experiment management ...
Finextra

The Hidden Cost of Hyperparameter Guessing in Financial AI

There is a quiet inefficiency sitting at the heart of almost every AI deployment in financial services today. It is not the data problem, though that remains significant. It is not the regulatory ...