Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
Amazon S3 on MSN

5 Incredible Uses of Neural Networks You Should Know

The curious minds at ColdFusion showcase five incredible uses of neural networks you should know. This matters because these ...
Study Finds

Brain Implant Smaller Than A Grain Of Sand Records Neural Activity For A Full Year

Scientists developed a wireless brain implant smaller than a grain of sand that recorded neural activity in mice for 365 days ...

Jun Ye Advances Neural Interface Technology Through Brain–Computer Systems and Generative AI

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
IEEE

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications

Abstract: Wavelet neural network (WNN), which learns an unknown nonlinear mapping from the data, has been widely used in signal processing, and time-series analysis. However, challenges in ...
Frontiers

Brain-Inspired and neurally grounded algorithms in learning and control of advanced robots

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...
Frontiers

Artificial intelligence and deep learning for neural data analysis

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
C&EN

Transferability of MACE Graph Neural Network for Range Corrected Δ-Machine Learning Potential QM/MM Applications

Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine, and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway 08854, New Jersey, United ...
IEEE

Graph Neural Networks: Architectures, Applications, and Future Directions

Abstract: In recent years, deep learning has revolutionized fields such as computer vision, speech recognition, and natural language processing, primarily through techniques applied to data in ...
GitHub

Low-Power BFloat16 Pipelined MAC Unit for Deep Neural Network Applications

This project presents the design and implementation of a Low-Power BFloat16 Pipelined MAC (Multiply-Accumulate) Unit for deep neural network (DNN) applications. The MAC unit is optimized for low power ...
C&EN

Bidirectional Long Short-Term Memory (BiLSTM) Neural Networks with Conjoint Fingerprints: Application in Predicting Skin-Sensitizing Agents in Natural Compounds

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Moreover, the GRU was developed as an advanced variant of the ...