The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

Abstract: This study develops a scalable, effective, and user-friendly solution to tackle the problem of real-time object detection in photos. The suggested approach ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

You’ll have two different options to complete your Master of Science in Data Science, each designed to give you the flexibility to match your career goals. Course-focused: Take classes such as ...

This activity was supported by a contract between the National Academy of Sciences and Open Philanthropy. Any opinions, findings, conclusions, or recommendations expressed in this publication do not ...

Objective: Current medical examinations and biomarkers struggle to assess the efficacy of chemoimmunotherapy (nICT) for locally advanced esophageal squamous cell carcinoma (ESCC). This study aimed to ...

Abstract: In this study, we explore a novel application of machine learning to revolutionize the field of medical diagnostics. This paper presents an innovative approach to automating the detection ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...

A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of ...