An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...

People who use search engines develop deeper knowledge and are more invested in what they learn than those relying on AI chatbots, a study reports.

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculations to occur ...

ZDNET sat down with Andrew Ng at AI Dev 25 in New York to talk about developer futures, responsible AI, and why AGI is overhyped.

Dave Gray has put together a pretty solid free Python video tutorial that clocks in at around 9 hours. It came out in 2023, ...

SANTA CLARA, CA - November 13, 2025 - - As machine learning (ML) systems become increasingly central to industries worldwide, ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

A vulnerability in the open source deep learning tool Keras could allow attackers to load arbitrary local files or conduct ...

Objective: To develop and test an interpretable machine learning model that combines clinical data, radiomics, and deep learning features using different regions of interest (ROI) from magnetic ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Trauma is pervasive, and thus numerous therapies have been developed to address its distressing symptoms. However, recent estimates suggest up to 50 percent of people with PTSD undergoing ...