Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Large language models have grown so vast and complex that even the people who build them no longer fully understand how they work. A single modern ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

AI models drift just like cars wear down, and with GenAI, that drift is public, risky and constant — making real-time ...

Dr. Vishal Sharma [email protected] Not long ago, the word “Artificial Intelligence (AI)” would bring to mind images of sci-fi robots, self-aware machines, or futuristic cities powered ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Forgetting feels like a failure of attention, but physics treats it as a fundamental process with a measurable price. At the ...