A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in ...

MadAbility, run by Yuhang Zhao, is developing access technology that relies on machine learning to fill information gaps for people who are blind or have low vision.

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.

Cost Savings: Businesses are seeing real reductions in operating expenses. For example, by using Industrial IoT, companies can monitor equipment in real-time, predict maintenance needs before a ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel have developed a new method that significantly improves how artificial ...

Agentic AI refers to AI systems that not only analyze and recommend actions but autonomously execute decisions across supply chain systems—such as updating inventory status, re-tendering loads, ...

Thousands of years from now, what will remain of our digital era? The ever-growing vastness of human knowledge is no longer ...