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 ...
At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...
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 ...
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, ...
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 ...
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 ...
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 ...
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 ...
Abstract: The generator is a critical component in power plants, with winding insulation failure accounting for approximately 56 % of all generator failures. Ensuring insulation health is therefore ...
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, ...
Pytorch implementation of the SGU-MLP Architecture from the paper "Spatial Gated Multi-Layer Perceptron for Land Use". The implementation follows the implementation of the original authors. It differs ...
Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback