In the field of experimental solid mechanics – a discipline that focuses on understanding and measuring the physical properties of different materials – researchers have traditionally relied on ...
The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...
MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse strategies from ...
Jonathan Kennedy does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...
From bicycles to rockets, learning through experience – whether human or machine – is shaping the future of space exploration ...
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Fully digital design paves the way for scalable probabilistic computing
Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
If you’ve ever had a doctor order a blood test for you, chances are that they ran a complete blood count or CBC. One of the most common blood tests in the world, CBC tests are run billions of times ...
A new study warns that hackers could manipulate AI weather-prediction models to generate false hurricane alerts, raising global concerns about the security of digital forecasting.
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