XElemNet: A Machine Learning Framework Applying Explainable AI (XAI) Suite for Deep Neural Networks in Materials Science
Deep learning has made progress in several fields and has also made its way into materials sciences. From tasks like ...
Tag: neural
Improving task scheduling in linguistic agents: Leveraging graph neural networks to improve task decomposition and decision making in large language models
Task planning in linguistic agents is gaining attention in LLM research, focusing on breaking down complex tasks into manageable subtasks ...
Neural networks for flexible multivariate forecasting | by Lucas See | October 2024
A simple step-by-step guide to get started with neural networks for time series forecastingPhoto by Aron Visuals in unpackForecasting multiple ...
What is inside a neural network? Plot the error surface in 3D using… | by Aleksei Rozanov | September 2024
First, we need synthetic data to work with. The data should exhibit some nonlinear dependence. Let's define it like this:Image ...
Neural Audio Codec with Source Separation (SD-Codec) – A new AI approach that combines audio coding and source separation
Neural audio codecs have completely changed the way audio is compressed and handled by converting continuous audio signals into discrete ...
Exploring the connectivity of spatial input modes: Perspectives on adversarial detection and interpretation of deep neural networks
Input space modal connectivity in deep neural networks is based on research on excessive input invariance, blind spots, and connectivity ...
Integrating neural systems for visual perception: The role of the ventral temporal cortex (VTC) and medial temporal cortex (MTC) in rapid and complex object recognition
Human and primate perception occurs on multiple time scales, with some visual attributes identified in less than 200 ms, thanks ...
Microsoft Research proposes energy-efficient time series predictions using spiking neural networks
Spiking neural networks (SNNs), a family of artificial neural networks that mimic the spiking behavior of biological neurons, have been ...
CircuitNet: A brain-inspired neural network architecture for improved task performance across diverse domains
The success of ANNs is due to their ability to mimic simplified brain structures. Neuroscience reveals that neurons interact through ...
What if game engines could be powered by neural networks? This Google AI paper introduces GameNGen and explores how diffusion models are revolutionizing real-time gaming
A major challenge in ai-powered game simulation is the ability to accurately simulate complex interactive environments in real-time using neural ...
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