Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

A research-based lineup of smart, effective classroom design tips that support deep learning, reduce distraction, and build ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

New types of AI coding assistants promise to let anyone build software by typing commands in plain English. But when these ...

While contemporary AI achieves impressive feats, crafting human-like prose, recognizing complex patterns and mastering games, it obscures a fundamental limitation.

Startups are making rapid progress in building decentralized pre-training and post-training machine learning. Can they ...

The TMS is the perfect platform between a fleet and its data. In the AI boom, that data is key. Here is how TMS providers are ...

In statistical classification and machine learning, classification error is an important performance measure, which is minimized by the Bayes decision rule. In ...

The AI model guided the researchers to a quinary compound made of copper, chromium, iron, and aluminum, named dubbed Cu₃ (CrFeAl). This material showed over 90 percent efficiency in removing iodate ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

In Recentive, the Federal Circuit acknowledged the growing significance of AI and machine learning and emphasized that its holding is limited to generic machine learning applications.

IBM announced detailed plans today to build an error-corrected quantum computer with significantly more computational capability than existing machines by 2028. It hopes to make the computer ...