Tech Xplore

New method helps AI reason like humans without extra training data

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
Electronic Design

Scaling Industrial AI with Zero-Touch Deployment

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
24/7 Wall St

XRP Social Sentiment Hits “Extreme Negativity”—A Historical Setup for a Reversal?

XRP sentiment hits extreme fear at 24 while institutional ETFs accumulated $424M in December alone, and $1.3 billion in 50 days. Machine learning models achieve 70-91% accuracy predicting crypto moves ...
www.cs.utexas.edu

Hyperspherical Normalization for Scalable Deep Reinforcement Learning

@InProceedings{pstone_simba, author = {Hojoon Lee and Youngdo Lee and Takuma Seno and Donghu Kim and Peter Stone and Jaegul Choo}, title = {Hyperspherical Normalization for Scalable Deep Reinforcement ...
IEEE

A Self-Adaptive Data Preprocessing Pipeline for Machine Learning: An Automated and Dynamic Approach

Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...
Phys.org

New machine learning tool reveals atomic structure of ultra-thin film materials

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...
IEEE

Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
Frontiers

Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data

1 School of Law, Shanxi University of Finance and Economics, Taiyuan, China 2 College of Public Management (Law), Xinjiang Agricultural University, Urumqi, China Background: The advancement of ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
C&EN

Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications

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