Communications of the ACMOpinion

When AI Tools Train on AI Output: Model Collapse in Daily Workflows

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
Cyber Defense Magazine

The Three Controls Every Gen-AI Workflow Needs and How to Bolt Them onto Existing Electronic Health Records (EHRs) In Ninety Days

AI Has Quietly Become a Compliance Surface When the Centers for Medicare & Medicaid Services (CMS) released Version 4 of its Artificial Intelligence ...
Morning Overview on MSN

NASA enlists Claude AI to chart a bold new route for Mars rover

NASA has quietly crossed a new frontier in human–machine collaboration, handing a critical piece of Mars navigation to a commercial chatbot. Instead of painstakingly plotting every twist of the ...
Barchart on MSN

Software stocks are in a bear market. Should you buy the dip in ServiceNow?

Software has been a crucial component of the modern economy, powering enterprises, automating decisions, and anchoring ...
IEEE

A Geometric Deep Learning Approach to Traffic Flow Shockwave Prediction on Freeways Using Vehicle Trajectory Data and HD Map

Abstract: Accurately predicting the occurrence, amplitude, and propagation speed of traffic flow shockwaves are essential for dynamic traffic control to mitigate traffic congestion. However, ...
techxplore

Mapping the cosmos of innovation: AI model charts the age and trajectory of 23,000 technologies

A team of researchers has built one of the most detailed open maps of emerging technologies yet assembled, allowing governments, companies and investors in the United States and worldwide to see what ...
ZDNet

Is DeepSeek's new model the latest blow to proprietary AI?

DeepSeek released its V3.2 model on Monday. It aims to keep accessible AI competitive for developers. V3.2 heats up the race between open and proprietary models. Chinese AI firm DeepSeek has made yet ...
IEEE

Distributed Traffic Signal Control Model for Accurate Policy Learning Under Dynamic Traffic Flow: A Graph Forecast-State Vector Driven Deep Reinforcement Learning Framework

Abstract: The increasing severity of traffic congestion has driven the application of deep reinforcement learning (DRL) in traffic signal control. It utilizes spatial states to interact with ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Geeky Gadgets

Google Workspace Gemini Flows : Makes Creating AI Agents Easy Using a Single Prompt

What if you could build your own AI assistant in minutes, no coding, no technical jargon, just pure productivity? With the launch of Google Flows, powered by the innovative Gemini model, this bold ...
EurekAlert!

BioCompNet: a deep learning workflow enabling automated body composition analysis toward precision management of cardiometabolic disorders

BioCompNet: a dual-channel deep learning framework for automated body composition analysis from fat-water MRI sequences. (A) Schematic of the dual-channel 2-dimensional (2D) U-Net architecture used to ...
Frontiers

Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...