Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

Mayank Kumar is the Founding AI Engineer at DeepTempo, where he leads the design and development of the company’s ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Discover how brain-inspired AI models bridge human cognition and machine intelligence. Explore next-gen neural design. Learn ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

The treatment of diabetic macular oedema (DMO) likely involves a series of treatment episodes separated by gaps during which ...

As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history ...