LLMs can identify major depressive disorder via voice note recordings

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
Guru3D

Razer Unveils Forge AI Dev Workstation, Its Vision for Purpose-Built AI Hardware

Razer has announced the Forge AI Dev Workstation, a new high-performance system aimed squarely at AI developers, researchers, ...
Frontiers

An optimized transfer learning approach integrating deep convolutional feature extractors for malaria parasite classification in erythrocyte microscopy

Background: Malaria, caused by Plasmodium parasites transmitted through bites from infected female Anopheles mosquitoes, results in severe symptoms such as anemia and potential organ failure. The high ...
The New York Times

The Discount Data That Some Colleges Still Won’t Publish

The Common Data Set can help prospective students know how much aid they could get to pay for college. Why don’t all schools provide it? By Ron Lieber A similar version of this column was published ...
EurekAlert!

Improvement of robot learning with combination of decision making and machine learning for water analysis

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...
GitHub

Dataset Preprocessing and Naming Inconsistencies Issues

The presence of suffixes like (1) indicates that files may have been re-downloaded or duplicated. This creates confusion and makes it harder to understand which dataset is the official version.
IEEE

Dataset Preprocessing Leveraging Vision Language Models: Storytelling for Accident Detection and Description

Abstract: In recent years, the Vision-Language Models (VLMs) have significantly advanced the field of storytelling applications. Visual storytelling involves the use of Generative AI models to ...
Semiconductor Engineering

Largest High-Quality Verilog Dataset for LLM Fine-Tuning (Univ. of Florida)

A new technical paper titled “VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by researchers at the University of Florida.