VentureBeat

OCSF explained: The shared data language security teams have been missing

The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening one layer below all of that: Vendors are lining up around a shared way to ...
SiliconANGLE

Microsoft releases Phi-4 language model trained mainly on synthetic data

Microsoft Corp. has developed a small language model that can solve certain math problems better than algorithms several times its size. The company revealed the model, Phi-4, on Thursday. The ...
Forbes

When The Future Isn’t Like The Past: The Dangers Of Model Data Drift In AI-Driven Business Lines

Chongwei Chen is the President & CEO of DataNumen, a global data recovery leader with solutions trusted by Fortune 500 companies worldwide. As AI becomes mainstream, business leaders are increasingly ...
The Verge

Anthropic launches tool to connect AI systems directly to datasets

The Model Context Protocol connects an AI system to multiple data sources, which Anthropic says can eliminate the need to create custom code for each one. The Model Context Protocol connects an AI ...
VentureBeat

Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...