People can learn to spot AI faces – but the clues are no longer obvious

Deepfake faces generated via artificial intelligence (AI) have become so realistic that they routinely fool people, with some ...

Physical AI Hits A Data Labeling Wall That Only Cash Can Fix

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...
Microsoft

AutoJack: How a single page can RCE the host running your AI agent

Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...
Psychology Today

A Study of 26,000 Students Shows the AI Learning Trap

A study of 26,000 students found AI boosted homework scores while eroding exam performance. The AI trap responsible may be at ...
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 ...
Santa Clara University

HPC Machine Learning Tutorial

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, it is assumed that you already have access to the WAVE HPC with a user account and the ability to open a ...
Digital Trends

Valve hints at Steam Machine delay… but the plot thickens

Valve is warning that its upcoming Steam Machine hardware may not arrive as soon as originally expected. In a recent update shared with the community, the company said global shortages of memory and ...
IEEE

A Comparative Study of Machine Learning Models for Cardiovascular Risk Prediction Using PCA-Transformed Framingham Data

Abstract: Cardiovascular disease (CVD) remains the leading cause of mortality globally, highlighting the urgent need for effective early detection systems. Supervised machine learning algorithms, such ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
Nature

Developing machine learning for heterogeneous catalysis with experimental and computational data

ANN (artificial neural network): a computational model inspired by the structure and function of biological neural networks, capable of learning complex nonlinear relationships in data BLR (Bayesian ...
CNX Software

ESP32-Stick-PoE-A-Cam – An ESP32-S3 camera board with active PoE, machine learning examples

The ESP32-Stick-PoE-A-Cam(N16R8) is an open-source ESP32-S3 development board with Ethernet, camera, and active PoE support designed for machine learning applications. Compared to similar boards like ...