Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

So now, suddenly, when faced with terms like “hyperparameter tuning” and “unsupervised learning,” a 50-year-old brain initiates its own version of a denial-of-service attack in these courses.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

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

This course is designed for students from various disciplines that use data to inform decision-making. It is suitable if you want an in-depth understanding of how machine learning can be integrated ...

The ETH Zurich Campus Heilbronn is excited to announce the inaugural edition of the Interdisciplinary School on Machine Learning and Artificial Intelligence for Science. This in-person event will take ...

A weekly newsletter that helps demystify artificial intelligence. Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company ...

About ONE PLATFORM FOR ALL THE CSE LAB SOLUTIONS OF VTU - EASIEST, SIMPLE & CRYSTAL CLEAR CONTENT :) (SCHEMES INCLUDED ARE +2015 +2017 +2018) ...