z.ai's open source GLM-5 achieves record low hallucination rate and leverages new RL 'slime' technique

The latest in z.ai's ongoing and continually impressive GLM series, it retains an open source MIT License — perfect for ...
Frontiers

Graph Learning and Deep Unfolding for Electromagnetic Field Modelling and Antenna Systems

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
Communications of the ACM

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

How the use of AI and 'deepfakes' plays a role in the search for Nancy Guthrie

As artificial intelligence becomes more advanced and common, it's hard to know what's real or not, complicating the search ...
Devdiscourse

Hybrid AI can reduce failures and energy use in manufacturing robots

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...
pv magazine Australia

Guided-learning model for PV power forecasting without irradiance sensors

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...
Newsnext Bangladesh

Empowering investors from Bangladesh to Wall Street through AI-based stock prediction

Yasmin Akter Bipasha, a researcher affiliated with Westcliff University in the United States and Bangladesh University of ...
pv magazine International

Battery management systems key to deploying batteries in data centers

A new study highlights the critical role of advanced AI-integrated battery management system technologies in monitoring, optimizing, and predicting battery performance for reliable and sustainable ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Bangla Sign Language Detection in Real-Time by Using Action Recognition and LSTM Deep Learning Model

Abstract: Effective communication is vital for promoting inclusivity and understanding in all areas of life, especially for individuals with hard of hearing, deaf or mute. One of the main ways that ...
Frontiers

Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration

Humanoid and Cognitive Robotics Laboratory, Department of Automatics, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia Collaboration between humans and robots is essential for ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...