Forbes

AI Pilots Fail Not Because Of Algorithms, But Because Of Weak Foundations

Artificial intelligence (AI) is dominating headlines and boardroom conversations, yet most projects stall before they matter. MIT reports that 95% of generative AI pilots fail to show measurable ...
VentureBeat

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
The American Journal of Managed Care

AI Model Challenges Genomic Classifiers in Early Breast Cancer Risk Stratification: Nancy Lin, MD

Lin: Genomic classifiers are widely used to assess the risk of distant metastasis (DM) and inform chemotherapy (CT) decisions ...

Zapata Quantum Teams with NVIDIA to Apply Agentic AI to Accelerate Quantum Algorithm Development

Initiative targets the creation of a scalable automated system for quantum resource estimation, a major bottleneck in quantum application developmentBOSTON, June 23, 2026 (GLOBE NEWSWIRE) -- Zapata ...