Nature

Neural Networks in Material Behavior and Constitutive Modeling

Neural networks are emerging as transformative tools in the field of material sciences by providing new avenues for constitutive modelling. Integrating advanced algorithms with physics-based insights, ...

Interpretability in deep learning for finance: A case study for the Heston model

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Quanta Magazine

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
Frontiers

Hybrid Mechanistic–AI Modeling with Physics-Trained Neural Networks for Patient Digital Twins

Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Microsoft open-sources multimodal reasoning model with 15B parameters

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...
TMCnet

MicroCloud Hologram Inc. Achieves Breakthrough in Practically Deployable Quantum Recurrent Neural Network (QRNN) Technology Oriented Toward Sequential Learning

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...
BelTA

Chinese researchers create neural network for modeling human concept formation

Chinese scientists have developed a novel neural network that enables artificial intelligence (AI) to form concepts from raw sensory data like sight and sound, simulating a fundamental aspect of human ...