Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Even as the AI revolution moves toward agentic tools, there are still hosts of uses for more classical machine-learning and computing—particularly in healthcare. That’s where many of the AI and ...

Abstract: Keratoconus affects approximately one in 2,000 individuals worldwide. It is typically associated with the decrease in visual acuity. Given its wide prevalence, there is an unmet need for the ...

Abstract: Kernel-based machine learning regression algorithms (MLRAs) are potentially powerful methods for being implemented into operational biophysical variable retrieval schemes. However, they face ...

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This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

It provides machine learning and other AI customers with an extensive software library to help with the deployment of their ...

A study of 26,000 students found AI boosted homework scores while eroding exam performance. The AI trap responsible may be at ...

Here's a practical cheat sheet of AI tools that can help engineers design circuits, optimize boards, simulate systems, write ...

Intel’s Paul Otellini helped convince Jobs to jump to Intel’s chips, and Apple didn’t need to start the software switch from scratch because of its existing work on Marklar. In June of 2005, Apple ...

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...