Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.
Tech Xplore on MSN12h
Mathematical insight into neuron readout drives significant improvements in neural net prediction accuracy
Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...
EurekAlert!1d
Synchronization in neural nets: Mathematical insight into neuron readout drives significant improvements in prediction accuracy
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate ...
AI power duo Microsoft and NVIDIA join forces to revolutionize game development — Here's how
Microsoft is excited to partner with NVIDIA to catalyze this next generation of graphics programming by bringing ...
News Medical2d
Advancing brain physiology and function measurements with UHF MRI techniques
Discover how UHF MRI techniques are revolutionizing the measurement of brain physiology and function, offering insights into neural processes.
Psychology Today3d
Are Human Neurons AI's Future?
Researchers are transforming stem cells into mini-brains that learn and adapt, merging biology and technology for a more ...
Hosted on MSN4d
Microsoft prepares DirectX to support neural rendering for AI-powered graphics — a key feature of the update will be Cooperative Vector support
Microsoft plans to introduce cooperative vector support to DirectX, enabling cross-platform implementation of next-generation ...
Microsoft prepares DirectX neural rendering for AI-powered graphics
Microsoft plans to introduce cooperative vector support to DirectX, enabling cross-platform implementation of next-generation ...
ophthalmologytimes5d
New research links retinal imaging and deep learning to improved schizophrenia detection
Ophthalmology Times - ophthalmology news, articles, and events in a timely and accurate manner for members of the ophthalmic ...
Science Daily7d
Revolutionizing fragrance design using deep neural networks (DNNs) scent profiles from chemical data
Scientific research explores the potential of DNNs in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor descriptor data from 94 ...
GitHub7d
neural-style-transfer
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...
GitHub7d
convolutional-neural-network
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...