Yann LeCun is a leading AI voice whose pathbreaking work in neural networks became the foundation for modern computers and deep learning.| India News ...
A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.
Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to precise, closed-loop control of neural activity. These tools pair machine ...
The evolution of AI-powered vehicle inspection has moved rapidly from experimental research to an essential pillar of the modern automotive ecosystem. Historically, vehicle checks were manual and ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Abstract: Reliable uncertainty estimation has become a crucial requirement for the industrial deployment of deep learning algorithms, particularly in high-risk applications such as autonomous driving ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
A NEWLY published retrospective study has shown that AI, particularly deep-learning algorithms, can significantly reduce the rate of misdiagnosis in paediatric elbow fractures. The study analysed 755 ...
Rei is the Deputy Lead for GameRant's Anime Team from Kashmir, situated in Beirut. He's an avid fan of anime and manga. Rei grew up watching anime and had a knack for writing ever since he was a kid, ...
Almost a full year into President Donald Trump‘s second term, the full scope of the federal government’s woke and weaponized posture toward its citizens is still unfolding. Beyond the known targeting ...
Giving a whole new meaning to underground power, startup Deep Fission Nuclear has secured US$30 million in funding to install a micro-reactor in a mile-deep borehole by July 4, 2026 as part of the US ...
Purpose: To develop and evaluate deep learning (DL) models for detecting multiple retinal diseases using bimodal imaging of color fundus photography (CFP) and optical coherence tomography (OCT), ...