Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Hackaday

Chain-of-Thought Spoofing Targets Reasoning AI Models

Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction ...
OfficeChai

21 Best AI Tools For Excel (With Examples) [2026]

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.
Analytics Insight

What Do Data Labelers Really Do? 10 Job Types Explained

Overview Explains ten major data labeling roles powering artificial intelligence across industries and applications worldwide ...
IEEE

Hierarchical Multi-Class and Multi-Label Text Classification for Crime Report: A Traditional Machine Learning Approach

Abstract: Large amounts of digital data are produced daily through society’s use of government and private companies. Digital transformation contributes to the increasing amount of structured and ...
Frontiers

From scales to circuits: integrating behavioral diagnosis and neural biomarkers for improved classification in disorders of consciousness

This study was approved by the ethics committee of the Seventh Medical Center of Chinese PLA General Hospital. Written informed consent was obtained from healthy volunteers and from the legal ...
Forbes

Label It Or Leave It: The New Baseline For AI Disclosure

In August 2025, Pleasant Green (Ben Taylor) released a video titled “Don’t Pay This AI Family To Write You a Song,” racking up well over a million views. It investigates the so‑called “Walker family,” ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
techxplore

Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasets

Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses ...
The New York Times

The Trump Administration’s Department of Homeland Publicity

A cabinet member’s social feed is one example of the administration’s turn to reality-TV tactics — slick, showy, sometimes cruel — as a means of government. By James Poniewozik James Poniewozik is the ...
Scientific Research Publishing

Research on Fault Detection and Classification of Industrial Equipment Based on Machine Learning ()

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...