The Department of Bioengineering at the Indian Institute of Science has invited organisations to host MTech Bioengineering ...
The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...
Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...
The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
Simulation-based learning approaches this challenge differently. Rather than optimizing for knowledge transfer, simulations ...
Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...
Class Disrupted is an education podcast featuring author Michael Horn and Futre’s Diane Tavenner in conversation with ...
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