MIT Technology Review

Teaching AI to run with the turbines

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
Frontiers

Trustworthy and Resilient AI for Smart Energy Systems: Frontier AI, Reinforcement Learning, and Security

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...
AlphaGalileo

Transfer learning boosts leaf trait estimation from space

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

Faster breast MRI—AI unlocks one image per second and sharper tumor tracking

A group of researchers from the Technion and the United States reports a breakthrough in MRI scanning in a paper published in ...
IEEE

Deep Learning ResNet Model for Prostate Cancer Classification: A Comparative Study of CNNs

Abstract: Prostate cancer diagnosis has been transformed by the integration of machine learning techniques, particularly deep learning models. This study focuses on utilizing ResNet for Gleason score ...
Scientific Research Publishing

Atwany, M.Z., Sahyoun, A.H. and Yaqub, M. (2022) Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey. IEEE Access, 10, 28642-28655.

ABSTRACT: Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss.
IEEE

Hybrid Deep Learning and Machine Learning Approach for Sickle Cell Disease Diagnosis Using ResNet and Random Forest Classifier

Abstract: This study presents a state-of-the-art deep learning classifier based on the residual network architecture developed for diagnosing sickle cell disease (SCD). The technique is a combination ...