Introducing Annotatability—a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often ...
Neural dynamics is a field that studies how neurons interact and communicate within networks, influencing behavior and cognitive functions. Mean-field models are mathematical frameworks used to ...
Generative AI is revolutionizing the field of cybersecurity by providing advanced tools for threat detection, analysis, and ...
Tech Xplore on MSN3d
Embodied AI reveals how robots and toddlers learn to understandWe humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck ...
Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool morphology in selective laser melting (SLM). This novel approach combines ...
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
Tech Xplore on MSN13d
New training technique opens the door to neural networks that require much less energyAI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...
9don MSN
Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...
A new AI model, based on the PV-RNN framework, learns to generalize language and actions in a manner similar to toddlers by integrating vision, proprioception, and language instructions.
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