Tech Xplore

Holographic storage approach packs more data into the same space by encoding three properties of light

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...
GitHub

Brain-to-Text '25: Neural Speech Decoding

Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
Scientific Research Publishing

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ()

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational ...
The Malaysian Reserve

NetAirus Technologies Launches Panatem™ an Industry-First World-Model Artificial Intelligence Framework for Augmented Reality Headsets

SAN DIEGO, March 12, 2026 /PRNewswire/ — NetAirus Technologies – NetAirus introduces Panatem™ an Artificial Intelligence ...
IEEE

A Decimal Scaling Normalization Encoder-Decoder Deep Network for Modeling in the Nonlinear Systems

Abstract: Deep learning predictive networks are extensively employed for modeling and predicting nonlinear systems due to their superior nonlinear modeling capabilities. They are able to capture the ...
IEEE

Benchmarking Encoders and Self-Supervised Learning for Smartphone-Based Human Activity Recognition

Abstract: Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To ...
marktechpost

Google DeepMind Introduces Unified Latents (UL): A Machine Learning Framework that Jointly Regularizes Latents Using a Diffusion Prior and Decoder

Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent ...