This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

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

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 ...

FaceTec ’s patented, industry-leading 3D Face Verification and Reverification software anchors digital identity, creating a chain of trust from user onboarding to ongoing authentication on all modern ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

A new study utilizes compact neural networks to uncover the underlying mechanisms behind human decision-making. Scientists have long studied how people and animals make decisions, often looking at how ...

M.S. in Technology Management alum Vinita Vijay shares key takeaways from a panel on the challenges and advantages of using ...

Whether you're a kid out for school, or an adult with a full time job, there's no excuse to stop learning during the summer vacation.

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Simply Training Machine Learning Models is Insufficient to overcome Patent Eligibility A key fact in the case was Recentive’s own concession: the machine learning models employed were conventional.