Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

AI uses animal imaging data to enhance surgical precision in humans

Heidelberg University Hospital (UKHD), and Mannheim University Medical Center (UMM) are presenting a method that enables ...

Silicon Valley Wants to Build A.I. That Can Improve A.I. on Its Own

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
The Atlantic

Elon Musk’s Pornography Machine

Earlier this week, some people on X began replying to photos with a very specific kind of request. “Put her in a bikini,” “take her dress off,” “spread her legs,” and so on, they commanded Grok, the ...
IEEE

A Novel CNN Architecture for Alzheimer's Disease Classification Using MRI Images: Comparison with Traditional Machine Learning Models

Abstract: Automated medical image processing has significantly improved with recent advances in deep learning and imaging technologies, particularly in the area of neuroimaging-based Alzheimer's ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Hosted on MSN

What Is Linear Regression In Machine Learning ? Understand With Examples

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
Frontiers

Predictive modelling employing machine learning, convolutional neural networks (CNNs), and smartphone RGB images for non-destructive biomass estimation of pearl millet ...

Digital tools and non-destructive monitoring techniques are crucial for real-time evaluations of crop output and health in sustainable agriculture, particularly for precise above-ground biomass (AGB) ...
The Lancet

Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis

aDepartment of Information and Computer Sciences, University of Hawaiʻi at Mānoa, POST Bldg, 1860 East-West Rd, Honolulu, HI, 96822, USA bUniversity of Hawaiʻi Cancer Center, 701 Ilalo St, Honolulu, ...
Wired

Pioneers of Reinforcement Learning Win the Turing Award

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...
Digital Trends

Building the ultimate AI and machine learning PC

One of the best ways to reduce your vulnerability to data theft or privacy invasions when using large language model artificial intelligence or machine learning, is to run the model locally. Depending ...