Nature

OpenAI-backed firm to use ultrasound to read minds. Does the science stand up?

Spin-out Merge Labs aims to rival Elon Musk’s brain-chip company Neuralink. But researchers say the technology is still at an ...
IEEE

Hybrid Deep Learning for Portable Weather Forecasting: Real-Time Predictions Using CNN-LSTM-Transformer Models

Abstract: Accurate weather forecasting is critical for agriculture, disaster management, and transportation sectors. However, traditional forecasting systems often require extensive computational ...
Morning Overview on MSN

Google DeepMind AI lights up the dark genome and flags risky DNA tweaks

Google DeepMind’s latest artificial intelligence model is turning the most mysterious stretches of human DNA into readable text, and in the process, it is flagging which tiny edits could tip a cell ...
AZoRobotics

Using Deep Learning to Predict Disease Progression in Chronic Illnesses

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
American Institute of Physics

Modeling drifting seaweed rafts that clog ports and beaches

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
Mirage News

EEG Decodes Hand Motion Angles in Real Time

With the development of brain-computer interface (BCI) technology, the application of electroencephalography (EEG) signals in motion decoding has been ...

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
IEEE

PF-DTN: Predictive routing for intelligent delay tolerant networks using RNN-LSTM deep learning with monte carlo dropout uncertainty estimation and hybrid deterministic ...

Abstract: Delay tolerant networks (DTN/s) represent an evolution of traditional ad hoc networks, specifically designed for extreme environments characterized by intermittent connectivity, ...
Frontiers

Advanced DNS tunneling detection: a hybrid reinforcement learning and metaheuristic approach

Introduction: DNS tunneling remains a critical network threat, exploiting the inherent trust in the DNS protocol for unauthorized communication, data exfiltration, and firewall evasion. Methods: ...