First author Canyu Chen led a multi-institution research team in developing a scalable approach to training AI agents without sacrificing users’ data privacy.

This Research Topic focuses on using artificial intelligence (AI) to combine and analyze diverse biomedical data types to improve the performance and ...

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection ...

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected to grow from $1.42 billion (2023) ...

Change is once again afoot at Big Machine Records. The label’s founder, Scott Borchetta, announced on Thursday that he’s exiting HYBE America, which acquired Big Machine Label Group (BMLG) as part of ...

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...

A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...