AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Tech Times

DeepSeek V4 Architecture: How Sparse Attention Cuts Inference Costs, What NIST Found

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Morning Overview on MSN

A research ship off Brazil pulled 31 new deep-sea species from the ocean’s least-explored layer

Scientists aboard a research vessel off the coast of Brazil identified 31 previously unknown species during just two weeks of ...
OfficeChai

AI For Kids Learning: 22 Best Options (With Examples) [2026]

These 22 AI for kids learning options will help your children thrive, adapt, and take advantage of the AI revolution.
MSN on MSN

A deep-ocean expedition off Brazil turned up two dozen new creatures in the sea’s darkest layer

A two-week research cruise off the coast of Brazil has returned with evidence of more than two dozen previously unknown creatures living in the deep ocean’s midwater zone, where sunlight never reaches ...
The New York Times

‘Deep Water’ Review: Prepare for an Emergency Landing, With Fins

The action director Renny Harlin combines two different kinds of disaster movies, with lots of gory shark scenes. By Glenn Kenny When you purchase a ticket for an independently reviewed film through ...
LinkedIn

DeepDigitsNet – A Deep Learning Classifier for Handwritten Digits

The goal of this project was to build a deep learning model that can classify handwritten digits (0–9) using the MNIST dataset. This project helped me understand how different activation functions and ...
LinkedIn

Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is nowadays considered as a core technology of today’s Fourth Industrial Revolution (4IR or Industry 4.0). Due to ...
Nature

Predicting critical transitions with machine learning trained on surrogates of historical data

Critical transitions can occur in many natural and man-made systems. Generic early warning signals motivated by dynamical systems theory have had mixed success on real noisy data. More recent studies ...
IEEE

Shortcut Learning in Binary Classifier Black Boxes: Applications to Voice Anti-Spoofing and Biometrics

Abstract: The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidden biases ...
IEEE

A Novel and Efficient Multi-Target Backdoor Attack for Deep Learning-Based Wireless Signal Classifiers

Abstract: Deep learning (DL)-based wireless signal classification is increasingly becoming important and deployed on edge devices (e.g., IoT, smartphones, etc.) to enhance communication reliability ...