Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...
Nanoporous silicon nitride (NPN) membranes are freestanding ultrathin films that offer outstanding combination of high permeability and strong selectivity based on molecular size or charge 1,2,3. Such ...
In recent decades, significant progress in the realm of nanophotonics has surpassed the limitations imposed by diffraction, leading to remarkable progress. These advancements have found diverse ...
Human inventions, namely engineered systems, have relied on fundamental discoveries in physics and mathematics, e.g., Maxwell’s equations, Quantum mechanics, Information theory, etc., thereby applying ...
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
The key to understanding proteins—such as those that govern cancer, COVID-19, and other diseases—is quite simple: Identify their chemical structure and find which other proteins can bind to them. But ...
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