Virtual cell models that enable the prediction of cell behavior across scales and biological contexts are rapidly emerging at the forefront of drug discovery. Tom Sercu, PhD, vice president of AI and ...
State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...
ABSTRACT: In recent times, the World has experienced the impact of artificial intelligence (AI) and machine learning (ML) on the digital ecosystem, organizations now face both unprecedented ...
Impact Statement: Adversarial attacks pose a significant threat to deep learning models, undermining their reliability and performance. Our proposed APR-Net presents a robust defense mechanism against ...
Abstract: Adversarial attack, a bleeding-edge technique that attempts to fool deep learning classification model by generating adversarial examples with imperceptible perturbations, is becoming a ...
Perturbation methods are a collection of techniques to solve intractable problems that generally don't have a closed solution but depend on a tunable parameter and have closed or easy solutions for ...
Thousands of particles of light can merge into a type of "super photon" under suitable conditions. Physicists call such a state a photon Bose-Einstein condensate. If many atoms are cooled to a very ...
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