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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.
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.
Unlocking the power of exascale supercomputers
Exascale supercomputers to transform deep neural networks and online data analysis
Connecting neural and symbolic AI networks
US Office of Naval Research funding may help make AI more reliable and transparent
Researchers predict what a mouse sees by decoding its brain signals
Could enable new advanced brain-machine interfaces
Babies Beat Bots
Infants outperform AI in detecting what motivates other people’s actions: new study
Physical neural network learns and remembers ‘on the fly’ like neurons for low-energy machine intelligence
Neuromorphic nanowire networks outperfom conventional artificial neural networks, avoiding heavy memory and energy usage
A Peek Into Desdemona Robot's Dialogue System | Highlights from S2EP2
Here's what's actually happening when Desi hears something wrong and it causes the various neural nets in her dialog system that usually work well together to start spouting whacky nonsense.