SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new opportunities for chipmakers, EDA companies, and IP vendors.

The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...

NFC teams with playoff aspirations clash when the Seattle Seahawks meet the Washington Commanders in NFL Week 9 'Sunday Night ...

You can also see the model's best bets for every Week 9 NFL game, including Falcons vs. Patriots, 49ers vs. Giants, Chiefs vs ...

Zico Kolter leads a panel that can stop OpenAI from releasing new AI systems if they're deemed unsafe. The computer science ...

Eric Zelikman, a top AI researcher who departed xAI in September, is raising $1 billion at a $4 billion valuation for his new startup, Humans&.

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

IBM is entering a crowded and rapidly evolving market of small language models (SLMs), competing with offerings like Qwen3, ...

Artificial intelligence (AI) and machine learning (ML) are now embedded in the core of banking — powering decisions in credit, fraud, ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...