IEEE

Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...
The New York Times

Anthropic’s Chief on A.I.: ‘We Don’t Know if the Models Are Conscious’

Dario Amodei shares his utopian — and dystopian — predictions in the near term for artificial intelligence. Hosted by Ross Douthat Produced by Sophia Alvarez Boyd Mr. Douthat is a columnist and the ...
ophthalmologyadvisor

Retinal Detachment Diagnosis Strong Using Deep Learning-Powered Fundus Images

Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...
Science News

AI models spot deepfake images, but people catch fake videos

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...
IEEE

An Optimal Scheduling Framework for Integrated Energy Systems Using Deep Reinforcement Learning and Deep Learning Prediction Models

Abstract: Model-free deep reinforcement learning has emerged as a promising method for addressing the scheduling challenges in integrated energy systems. However, uncertainty in system states ...
NPR

The risks of AI in schools outweigh the benefits, report says

The risks of using generative artificial intelligence to educate children and teens currently overshadow the benefits, according to a new study by the Brookings Institution's Center for Universal ...
Microsoft

AI that drives change: Wayve rewrites self-driving playbook with deep learning in Azure

LONDON – On a more than typically busy Thursday morning in Soho, the gray December sky spat rain. Traffic was stop-and-go, but mainly stop. Even the sidewalks were congested. Finally, alongside the ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Phys.org

Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...
chromatographyonline

Developing Deep Learning Models to Identify More Peaks in GC–MS Chromatograms

MASSISTANT predicts molecular structures from GC-EI-MS spectra using SELFIES encoding, overcoming traditional database limitations. SELFIES encoding ensures valid molecular predictions, unlike SMILES, ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...