In this solo episode I walk through how I use @BookBolt and AI to find real demand and publish simple books on Amazon kdp ...

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Good afternoon, everyone, and welcome to our fourth quarter 2025 earnings call. Bob Bradway will lead the call today and be ...

Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...

A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

In its research, Microsoft detailed three major signs of a poisoned model. Microsoft's research found that the presence of a backdoor changed depending on where a model puts its attention. "Poisoned ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...

This publication adds to a growing body of external evidence validating the technical rigor, performance, and real-world relevance of BostonGene's AI-driven approach. By evaluating algorithmic and ...

San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source ...

More than 100 million people in the United States suffer from metabolic dysfunction-associated steatotic liver disease (MASLD ...