Foundational Breakthroughs in AI Papers 2019 2019 saw the release of some truly game-changing research papers in ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...

Machine learning tech is critical to industries like automotive and IT, with companies like Nvidia leading in AI applications. Investing in machine learning stocks offers growth potential and ...

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, ...

Powerful brain imaging has helped uncover why people with post-traumatic stress disorder (PTSD) who engage in negative self-talk may be struggling with the first line of treatment. The discovery, ...

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that ...