Similarity of Neural Network Representations RevisitedSimon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey HintonRecent work has sought to
Weight-space models learn directly from the parameters of neural networks, enabling tasks such as predicting their accuracy on new datasets. Naive methods -- like applying
This paper shows that overparameterized deep linear networks accelerate gradient descent via implicit adaptive preconditioning, confirmed by theory and experiments
Synchronization can bind oscillatory activity in functionally modular areas of brain
This tutorial will discuss the early approaches to weight initialization and the limitations of zero, constant, and random initializations. We’ll then learn better weight initialization strategies based on the number of neurons in each layer, choice of activation functions, and more.
This is the story of how I trained a simple neural network to solve a well-defined yet novel challenge in a real iOS app. The problem is unique, but most of what I cover should apply to any task in any iOS app. That’s the beauty of neural networks
## World Emulation via Neural Network 25 April 2025 I turned a forest trail near my apartment into a playable neural world. You can explore that world in your web browser by clicking right here : By "neural world", I mean that the entire thing is a neural network generating new images based on previous images + controls. There is no level geometry, no code for lighting or shadows, no scripted animation. Just a neural net in a loop. By "in your web browser" I mean this world runs locally, in your web br
Enhanced Preprints Neuroscience The interplay between homeostatic synaptic scaling and homeostatic structural plasticity maintains the robust firing rate of neural networks Department of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Freiburg, Germany Center BrainLinks-BrainTools, University of Freiburg, Freiburg, Germany Forschungszentrum Jülich, Simulation Lab Neuroscience, Jülich Supercomputing Center, Institute for Advanced Simulation, Jülich Aachen
In humans and other mammals, the cerebral cortex is responsible for sensory, motor, and cognitive functions. A new study shows that the global architecture of the cortical networks in large-brained primates and small-brained rodents is organized by common principles. However, primate brains have weaker long-distance connections, which could explain why large brains are more susceptible to mental illnesses including schizophrenia and Alzheimer's disease
# Continuous Improvements in Neural Processing Units (NPU) in Mobile Phones 2026-08-14 Ryan Whitwam The neural processing unit (NPU) in your phone may not be doing much.Image Source: Aurich Lawson | Getty Images In recent years, almost all technological innovations have focused on one point: generative artificial intelligence. Many so-called revolutionary systems run on large, expensive servers in data centers, while chip manufacturers boast about the powerful capabilities of the neural processing units