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297.
Seeing inside the black box of deep neural networks
Researchers have found a way to visualize how deep neural networks organize information, which helps spotting errors.
297.
Learning materials based on mechanical neural networks
Physicists at the University of Michigan have developed material systems that can learn using mechanical neural networks.
297.
Photonic hardware could make neural networks run faster and use less energy
MIT researchers have built a photonic chip that can do all the necessary calculations for deep neural networks using only light.
2275.
Revolutionizing Multimodal AI: A Breakthrough in Efficient Neural Networks with Advanced Attention Mechanisms
Explore a revolutionary neural network architecture integrating Multi-Query, Multi-Head, and Grouped-Query Attention, enhancing efficiency and adaptability in multimodal tasks while reducing computational costs and memory usage.
297.
AI pioneers win the Nobel Prize in Physics
John Hopfield and Geoffrey Hinton, two pioneers of machine learning and artificial neural networks, have won the Nobel Prize in Physics.
1167.
NEOLAF: Introducing a Never-Ending Learning Framework for Intelligent Agents
Introducing NEOLAF: A novel Neural-Symbolic Cognitive Architecture revolutionizing AI. Enhanced explainability, efficiency, and self-improvement redefine intelligent agent construction. Dive into its advanced learning capabilities and transformative potential.
2088.
Exploring Geometry-Informed Neural Networks: A Data-Free Approach to Shape Generation
Geometry-Informed Neural Networks (GINNs) transform shape generation by using geometric constraints and neural fields, enabling data-free training and diverse solutions across computer graphics, engineering, and medical imaging.
11.
Unlocking the power of exascale supercomputers
Exascale supercomputers to transform deep neural networks and online data analysis
11.
Connecting neural and symbolic AI networks
US Office of Naval Research funding may help make AI more reliable and transparent
11.
Researchers predict what a mouse sees by decoding its brain signals
Could enable new advanced brain-machine interfaces