The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

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CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

Harvard researchers have developed OpenMetabolics, an open-source, smartphone-based activity monitor that uses machine ...

The Machine Learning Lab matching event will take place on Friday, Oct. 17 and is an opportunity for faculty and researchers seeking machine learning expertise to connect with undergraduate and master ...

As computer science students flood into the newly-renovated CIT, they will be joined by Stephen Bach, an assistant professor who joined the department this semester. Bach’s hiring comes at a time when ...

Automated machine learning promises to speed up the process of developing AI models and make the technology more accessible. Machine-learning researchers make many decisions when designing new models.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

At its re:Invent conference, AWS today announced SageMaker Studio Lab, a free service to help developers learn machine learning techniques and experiment with the technology. Studio Lab provides users ...