How math reveals the bleeding edge of AI
Mathematicians love the certainty of proofs. This is how they verify that their intuition matches observable truth.
Mathematicians love the certainty of proofs. This is how they verify that their intuition matches observable truth.
When a fruit fly is navigating straight forward at high speed, why does it know that it's not straying off course? Because as long as the fly moves directly forward, the visual scene shifts from front to back in a near-perfect ...
A novel study has unveiled a technique that enhances stem cell therapy for neurodegenerative diseases by combining magnetic guidance with localized ultrasound stimulation. This approach successfully navigates magnetically ...
Today DSE and the University of Arkansas published a study in the Journal of Data Science, Statistics, and Visualization and an open source tool that show the need for changes to federal crop insurance programs that could ...
Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation shielding designs for space ...
A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences (CAS) has proposed a hybrid transfer and epitaxy strategy, enabling the heterogeneous integration ...
A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of training data and demonstrated its effectiveness in materials research. The team includes Kohei ...
In a major step toward more reliable AI-assisted molecular design, researchers from National Taiwan University have demonstrated that incorporating uncertainty quantification (UQ) into graph neural network (GNN) models significantly ...
A deep learning framework transforms decades of solar data into a unified, high-resolution view—adjusting instruments, overcoming limitations, and helping us better understand our star.
A research team led by Prof. Hu Bingliang and Prof. Yu Tao from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences has developed the physicochemical-informed spectral Transformer ...