DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
IEEE

Automation Testing Framework for Reliable Autonomous Agentic AI

Abstract: With the rise of autonomous systems (AS) and agentic artificial intelligence (AI), a heightened automation of testing processes is required to build, deploy, or repair reliable intelligent ...
GitHub

TestMu AI (Formerly LambdaTest) Skills

TestMu AI (Formerly LambdaTest) is the world's first full-stack AI Agentic Quality Engineering platform that empowers teams to test intelligently, smarter, and ship faster. Built for scale, it offers ...
Wall Street Journal

Phoenix Is a Data-Center Mecca—and Test Case for How to Pay for AI’s Power Needs

PHOENIX—A new style of architecture is rising in the sprawling suburbs of the Sonoran Desert: windowless data centers that hum 24 hours a day and guzzle as much electricity as a midsize city. As ...
IEEE

Fully Perturbed Self-Ensemble Framework using Cascaded Parallel CNN-Transformer for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...