A new Perspective in Frontiers in Photonics maps how super-resolution imaging, biosensors, optical tweezers, particle tracking, and artificial intelligence are...

A new comparative study finds that ensemble classifiers outperform deep learning models for smart contract vulnerability detection, while uncertainty-based active...

Researchers have unveiled SWEET, an inference serving system that jointly optimizes model quantization and device-server workload partitioning to cut edge...

A systematic review of 81 studies finds that artificial intelligence is reducing infectious, toxic, and occupational health risks across the...

Researchers in Sikkim, India, have developed machine learning models that predict soil aggregate stability from routine soil measurements, offering a...

A new theoretical framework identifies seven Dark AI Patterns through which generative AI quietly erodes informed consent in digital marketing,...

Researchers have developed an unsupervised deep learning model called GSA-VAE that detects faults in electric vehicle batteries by fusing causal...

A new deep learning architecture called FrDPalmNet combines fractional calculus, dual attention, and densely connected blocks to push palmprint-based biometric...

A University of Manchester team has built an AI workflow that combines stakeholder weights, Bayesian deep learning and reinforcement learning...

A systematic review of 83 studies finds that while deep learning models excel at ECG-based cardiovascular disease prediction, weak external...