In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Since the dawn of the computer age, researchers have wrestled with two persistent challenges: how to store ever-increasing ...
Many high-performance HEAs used in areas such as aerospace engines, gas turbines, and nuclear power plants employ CRMs such as tantalum, niobium, tungsten, and hafnium. These elements are expensive, ...
SANTA CLARA, CA / ACCESS Newswire / February 4, 2026 / Expert Intelligence ™, a startup building AI systems that automate ...
By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.
Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...
It’s no longer about hiring specialists. The market now demands hybrid marketers: people who can speak to both business goals ...
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