eLife

Spyglass: a framework for reproducible and shareable neuroscience research

Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...
Tech Xplore

Mice and AI neural networks reveal similar patterns when learning to cooperate

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...

A coordinated dance between two proteins is essential for stronger brain connections

Scientists from the Nencki Institute and the Max Planck Florida Institute for Neuroscience have revealed a key mechanism in ...
eLife

Importance of higher-order epistasis in protein sequence-function relationships

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
Frontiers

Spike-based time-domain analog weighted-sum calculation model for extremely low power VLSI implementation of multi-layer neural networks

1 Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 2 Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
IEEE

Anomaly Detection Method of Maglev Train Suspension System Based on SSA-MLP-Attention Hybrid Model

Abstract: Anomaly detection of maglev train suspension system is crucial for train’s safe operation and maintenance. In order to solve the complexity and diversity of abnormality modes in the ...
IEEE

MBMLPMixer: Multiple Branch Multi-Layer Perceptron-Mixer Network for Multi-class Fine Joint Motor Imagery Decoding

Abstract: Motor imagery brain-computer interfaces (MI-BCIs) face significant challenges such as distinguishing neural patterns of hand, wrist, elbow, and shoulder movements in decoding Fine Joint ...

Quantum AI: Wuji, Have You Forgotten?

However, a recent study by Chinese scientists has given us new hope: Quantum Machine Learning (QML) may inherently possess "eyes of fire" and an "eraser." It can not only firmly grasp core patterns in ...
GitHub

NeuralBot - Neural Network Aimbot

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
EurekAlert!

Robots learn to work together like a well-choreographed dance

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic arms to work together faster and smarter in busy industrial settings, ...
techxplore

RoboBallet system enables robotic arms to work together like a well-choreographed dance

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic arms to work together faster and smarter in busy industrial settings, ...