Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Tech Xplore

Machine-readable dataset speeds environmental review drafting tasks

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...

AI reads 3D tooth microwear to reconstruct diets of early human ancestors

The study of dental microwear allows the analysis of the microscopic marks that foods leave on the surface of tooth enamel ...

Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.
bjo.bmj

Drusen volume and reticular pseudodrusen volume from optical coherence tomography with deep learning as risk factors for progression to late age-related macular degeneration in ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Nature

LogoXpertNet: a novel lightweight logo classification using deep learning

Logo classification is crucial in various applications, including brand monitoring, copyright protection, and digital forensics. Traditional computer vision techniques face significant limitations, ...
Science Daily

Scientists build a “periodic table” for AI

"We found that many of today's most successful AI methods boil down to a single, simple idea -- compress multiple kinds of data just enough to keep the pieces that truly predict what you need," says ...
IEEE

Stacking and Chaining of Normalization Methods in Deep Learning-Based Classification of Colorectal Cancer Using Gut Microbiome Data

Abstract: Machine learning (ML)-based detection of diseases using sequence-based gut microbiome data has been of great interest within the artificial intelligence in medicine (AIM) community. The ...
GitHub

DLPy - SAS Viya Deep Learning API for Python

DLPy is a high-level Python library for the SAS Deep learning features available in SAS Viya. DLPy is designed to provide an efficient way to apply deep learning methods to image, text, and audio data ...
Frontiers

YOLOv8-Seg: a deep learning approach for accurate classification of osteoporotic vertebral fractures

This study investigates the application of a deep learning model, YOLOv8-Seg, for the automated classification of osteoporotic vertebral fractures (OVFs) from computed tomography (CT) images. A ...
GitHub

ParsBERT: Transformer-based Model for Persian Language Understanding

ParsBERT trained on a massive amount of public corpora (Persian Wikidumps, MirasText) and six other manually crawled text data from a various type of websites (BigBang Page scientific, Chetor ...