Simulations and experiments meet: Machine learning predicts gold nanocluster structures

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
GitHub

Multimodal deep learning integration of cryo-EM and AlphaFold3 for high-accuracy protein structure determination

Cryo-electron microscopy (cryo-EM) is a key technology for determining the structures of proteins, particularly large protein complexes. However, automatically building high-accuracy protein ...
NetIndia123

Turning Data Into Decisions: How the School of Sciences at JAIN (Deemed-to-be University) Is Powering the Next Generation of Data Science Leaders

Leg-spinner Yuzvendra Chahal's maiden six-wicket for India as the hosts beat England by 75 runs in the third and final Twenty20 International ...
Communications of the ACM

Building Intelligent Agents with Neuro-Symbolic Concepts

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
IEEE

Machine Learning to Predict EMI Radiation and Optimize the Structure of Pinmap Packages

Abstract: With the rapid increase in integrated circuit chip frequencies, the complexity of electromagnetic interference issues and the time-consuming nature of traditional pin mapping (pinmap) design ...
IEEE

Learning Invariant Grasping Features via Scene Prototypes and Structure Priors in Robotic Manipulation

Abstract: Most existing robotic grasp detection methods can achieve high accuracy in one single domain, but due to the differences in data distribution and object categories among different datasets, ...