These speculative investments are for risk takers only, but there's no denying AI is infiltrating crypto the way it has other ...

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for ...

Every year, thousands of new materials are created, yet many never reach their full potential because their applications aren't immediately obvious—a challenge University of Toronto researchers aim to ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Current approaches in bioengineering are synthesized and methods for their implementation are suggested for the induction and modulation of trained immunity in the treatment of human diseases.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

While some business leaders buy large language models, others build their own. Here are five things you need to know.

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Torc became a supporting member of the Stanford Center for AI Safety. Stanford's work in developing more reliable machine learning applications can improve the safety of autonomous trucks. Leading ...

Citing data showing that more than 60% of the 340,000 AI-related patent applications filed since 2023 are related to machine learning, Recentive contends that the Federal Circuit’s standard on ...