News

Shape complementarity enables precise protein binder design
Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate ...
Tech Xplore7h
New algorithm enables efficient machine learning with symmetric data structures
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
Tech Xplore2d
Curved neural networks enable AI memory recall through geometric design
A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from ...
Researchers develop neural network for large-scale celestial object classification
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...
IEEE5d
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with ...
Spiking neural networks (SNNs) have tremendous potential for energy-efficient neuromorphic chips due to their binary and event-driven architecture. SNNs have been primarily used in classification ...
Psychology Today5d
Understanding the Brain’s “Action Mode”
Recent discoveries of how the brain works have shifted focus to brain networks, offering potential new hope for people ...
IEEE6d
Automated Neural-Network-Based Model Generation Algorithms for ...
Automated Model Generation (AMG) algorithms are an important technique for creating Artificial Neural Network (ANN) models in microwave design automation. AMG integrates all the subtasks in ANN ...