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How Mu Language Model acts as an Agent in Windows Settings
Mu Language Model is a Small Language Model (SLM) from Microsoft that acts as an AI Agent for Windows Settings. Read this ...
AI system decode polymer–solvent interactions for materials discovery
A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...
IEEE22h
Predicting Room Impulse Responses Through Encoder-Decoder Convolutional ...
Abstract: This paper investigates the ability of deep neural networks (DNNs) to predict a specific room impulse response (RIR) between two given room locations. We use three end-to-end deep learning ...
IEEE4d
E-DGAN: An Encoder-Decoder Generative Adversarial Network Based Method ...
In recent years, more and more people suffer from voice-related diseases. Given the limitations of current pathological speech conversion methods, that is, a method can only convert a single kind of ...
Tech Xplore on MSN9h
What a folding ruler can tell us about neural networks
Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...
Multisynapse optical network outperforms digital AI models
For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...
Researchers Decode How We Turn Thoughts Into Sentences
An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics
Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...