CNET

OpenAI Plans to Combine Its AI Tools in a Desktop 'Superapp'

OpenAI is working toward creating a desktop "superapp" that will consist of its three tools: ChatGPT, the coding platform ...

Deep learning model predicts how individual cells influence disease outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
Gastroenterology Advisor

Wearable Technology for IBD Management: Early Insights Into Disease Activity

Wearable technology for IBD management includes the ability to detect flares early and support continuous, data-driven disease monitoring.
Frontiers

The Applications of AI Techniques in Medical Data Processing

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...
AZoRobotics

AI Model Achieves 99.24 % Accuracy in Breast Ultrasound Classification

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

A.I. Replica of Val Kilmer to Appear in Film After His Death

Kilmer’s estate collaborated with the filmmakers to make a digital likeness of the actor, who died of cancer last year.

How AI deep learning is helping scientists protect California's coastal ecosystems

Researchers at UCLA's Institute of the Environment and Sustainability have developed the most high-resolution statewide maps of California's kelp forests to date, giving researchers, conservationists ...
Frontiers

Soft Computing and Machine Learning Applications for Healthcare Systems

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
Devdiscourse

Deep Learning Study Forecasts How Sackett Ruling Shrinks U.S. Wetland Protection

Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...
Scientific Research Publishing

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ()

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
IEEE

Deep-Learning-Empowered Super Resolution: A Comprehensive Survey and Future Prospects

Abstract: Super resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-quality ...