The Mobile Rundown on MSN

He built a learning game at 16 that millions of students now use

He launched a learning game at 16 that now reaches millions of students worldwide. Here’s what we can learn from this young ...
Security Info Watch

AI and Machine Learning in Security: Building Smarter, Integrated Systems for a Safer Future

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
TMCnet

Namibox Unveils World's First AI-Powered Learning Glasses, Set for December 31, 2025 Release - AI Powered Education Hardware Opens Up New Growth Curve

Namibox, the flagship brand of Jinxin Technology Holding Company (NASDAQ: NAMI), announced today the global limited pre-sale of the world's first AI-powered, education-focused smart glasses, developed ...
Microsoft

Active Learning and Semi-supervised Learning for Speech Recognition: A Unified Framework using the Global Entropy Reduction Maximization Criterion

We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select a limited subset of ...
C&EN

Reactive Active Learning: An Efficient Approach for Training Machine Learning Interatomic Potentials for Reacting Systems

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...
Frontiers

A drop-out mechanism for active learning based on one-attribute heuristics

Active Learning (AL) leverages the principle that machine learning models can achieve high accuracy with fewer labeled samples by strategically selecting the most informative data points for training.
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
Reuters

Former Tesla, Google engineers raise $4 million for AI-text detection startup Pangram

June 24 (Reuters) - Pangram, a startup founded by former Tesla and Google employees, has raised about $4 million in seed funding to expand its tools that detect AI-generated text as schools and ...
Frontiers

Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms

Department of Science and Education Division, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China Introduction: Diagnostic delays in tuberculosis (TB) threaten global control efforts, ...