Building on a strategy Xtrackers has run since 2019 – now with approximately $7 billion in assets under management globally ...

Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to recognize biology may no longer be enough.

Oracle’s aggressive AI-first infrastructure expansion underpins OpenAI’s Stargate vision, transforming cloud into a core national-scale compute and energy resource. This $300 billion investment ...

Abstract: With the transformation of China’s energy structure, the control requirements for the power generation process are becoming increasingly precise and intelligent. Applying machine learning ...

Renowned AI scientist Yann LeCun confirmed on Thursday that he had launched a new startup — the worst-kept secret in the tech world — though he said he will not be running the new company as its CEO.

Niral Shah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

From DOE supercomputers to AI-native wireless and a 50,000-GPU semiconductor factory, Jensen Huang’s roadmap connects data centers, networks, and industrial systems into a single accelerated-computing ...