News

Using geometry and physics to explain feature learning in deep neural networks
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...
Semiconductor Engineering5d
SpiNNaker2 Neuromorphic Platform: HW-Aware Fine-Tuning of Spiking Q-Networks (TU Dresden Et Al.)
Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform” was published by researchers at TU Dresden, ...
Researchers propose a practical pathway for microstructure control in 3D-printed Ni-based superalloys
Researchers at IMDEA Materials Institute have developed a streamlined and industrially scalable methodology to design and ...
From Humanoids To Driverless Cars: Why The Next Rung On The AI Ladder Will Require A New Kind Of Network
As inference workloads move into physical environments, latency becomes a liability, a variable that can’t be abstracted away ...
Frontiers4d
Network control of fear and goal-directed behavior
Recent methodological advances have enabled the control and visualization of large populations of neurons across multiple brain structures, allowing ...
Natural Science News3d
Better Management of Water Environments Using AI Images
AI models now help fisheries securely analyze vast underwater images in-house. Trained on thousands of seafloor pictures, ...