The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...
More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
True institutional AI transformation requires redesigning learning systems, co-innovation models and leadership structures ...
At the University of Pennsylvania, the Instructional Design Working Group is blending professional growth and peer connection ...
How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...
As educators, we often center our attention on students as learners—designing instruction to honor their varying identities, curiosities, strengths, and opportunities for growth. Yet, we rarely pause ...
Generative AI is not a standalone solution. When combined with composable architecture, it enables new levels of agility, ...
Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...
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