They say that if you pursue something you love, you’ll never work a day in your life. In that case, this must be what it’s ...

A guarantee for estimating distances across networks, set in 1996, now reaches much closer pairs of points than anyone had ...

NYU computer scientists have developed a pair of AI systems to support the research process: One that assesses how well ...

AI has reportedly challenged the Exponential Time Hypothesis, a long-standing computer science assumption. If confirmed, the ...

In a laboratory south of San Francisco, scientists will soon be hard at work training their replacements. Technicians wearing ...

Physicl, a platform for generating targeted training data for physical AI, today announced $10 million USD in seed funding, led by Inovia Capital, with participation from US Venture Partners, to ...

You can grow a computer component on your kitchen counter. Well, sort of. That’s the radical implication of 2025 research from The Ohio State University, where scientists used shiitake fungi to make ...

Reinforcement-learning systems chase rewards they are given, but nobody has found a reliable way to write one that captures ...

OpenAI says one of its internal models has disproved the Exponential Time Hypothesis, a conjecture that computer scientists have leaned on for ...

The famous "Turing test" of computer science comes from a 1950 paper written by the British computer scientist (and war hero) ...

AU researchers tested quantum machine learning for lung cancer prediction, with a D-Wave annealing method reaching 91.90% ...

AI can help theoretical computer scientists search for algorithms, proof components, and combinatorial structures. Here’s what recent results show—and why verification still matters.