Tech Xplore

Facial movement analysis detects deepfake videos with more than 95% accuracy

So-called deepfakes, that is, images and videos generated with the help of artificial intelligence, are becoming increasingly ...

Is AI better at recognizing faces than you are? Study examines factors that affect accuracy

Facial recognition is now a fixture of modern life, powering everything from national border security to the simple ...

An Inventor of Apple’s FaceID Wants to Analyze Your Brain’s Health With AI

Gidi Littwin’s new AI startup, Hemispheric, makes diagnostic brain scans for conditions like depression, PTSD, and ...
The Economist

The history of the human face is more than skin deep

Humans have long taken each other at face value. Pythagoras, a Greek philosopher, supposedly chose his pupils based on ...

Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

As e-commerce platforms generate ever-longer streams of user-behavior data, machine-learning methods are increasingly examined for their ability to model how customer interests form and shift over ...
Technology Networks

Cellpose, StarDist, and the Deep Learning Cell Segmentation Revolution

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
The Lancet

Long-term oncological outcomes following algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection: a post-hoc ...

aDepartment of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St Antonius Hospital Nieuwegein, Utrecht University, Utrecht, Netherlands bDepartment of Medical Oncology, ...
IEEE

Deep Learning for Video Anomaly Detection: A Review

Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...