How a stubborn computer scientist accidentally launched the deep learning boom
Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.
Advanced terahertz neural network offers compact solution for AI challenges
An innovative planar spoof plasmonic neural network (SPNN) platform capable of directly detecting and processing terahertz (THz) electromagnetic signals has been unveiled by researchers at City ...
Red Hat is acquiring AI optimization startup Neural Magic
Red Hat, the IBM-owned open source software firm, is acquiring Neural Magic, a startup that optimizes AI algorithms to run on ...
Network World6h
Red Hat to acquire Neural Magic
AI optimization startup Neural Magic created software that makes it possible for AI inference models to run efficiently on ...
EurekAlert!12d
A novel neural network for preserving cultural heritage via 3D image reconstruction
Relief-type cultural heritage objects are commonly found in many historical sites worldwide, but often suffer from varying ...
Medical Xpress27d
How neural networks help the brain predict future events
Lamberti's work demonstrates that neurons are capable of predicting future inputs, showing that prediction is a general function of neural networks. Her research highlights how memory not only ...
Frontiers18h
Machine Learning Integration in Computational Neuroscience: Enhancing Neural Data Decoding and Prediction
Computational Neuroscience is a rapidly evolving field that seeks to understand the brain's complex functions through ...
azoquantum6d
How are Quantum Techniques Improving Additive Manufacturing?
Quantum machine learning methods, including QSVM and QCNN, show promise in manufacturing by enhancing anomaly detection and ...
Red Hat to acquire AI optimization startup Neural Magic
Open-source software giant Red Hat Inc. announced today that it has agreed to acquire Neural Magic Inc., a machine learning ...