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 ...

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

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

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

TOKYO, Feb. 2, 2026 /PRNewswire/ -- The Global Health Innovative Technology (GHIT) Fund announced today a total investment of approximately JPY 1.39 billion (USD 8.8 million (1) ) in six R&D projects ...

Characterised by inherently scarce and erratic rainfall, Garissa county faces exacerbated challenges due to prolonged ...

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably the atoms constituting the material are bonded. The core of molecular design ...

This edition of the Forbes CEO newsletter looks at Gensler’s Co-CEO structure and its benefits and challenges.

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...

Amendment reduces and simplifies royalty structure on Teverelix® from ~4% to 2% while preserving global rights and IP control The Company is developing Teverelix® as a first in class market product ...