Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...

NINGBO, ZHEJIANG PROVINCE, CHINA, January 19, 2026 /EINPresswire.com/ -- In recent years, the global healthcare ...

Materials intelligence in cosmetics integrates AI and molecular simulation, enhancing formulation efficiency and aligning with sustainability goals.

Dental education is on the cusp of a transformative shift, traditionally rooted in hands-on training using real or synthetic ...

Researchers at Chungnam National University have developed a deep learning method that predicts stable defect configurations in nematic liquid crystals in milliseconds rather than hours. This rapid ...

Research Progress on the Localized Application of the Objective Structured Clinical Examination in Higher Vocational Nursing ...

Demis Hassabis, Google Deepmind CEO, just told the AI world that ChatGPT's path needs a world model. OpenAI and Google and ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and adaptive locomotion in simulation.

Abstract: The focus of this research is to develop a learning-based method that computes self-motion manifolds (SMMs) efficiently and accurately to enable real-time global fault-tolerant motion ...

Pharmaceutical controlled-release formulations are systems developed by a set of unit operations to achieve a satisfactory combination between a drug and excipients to allow its gradual release. These ...

However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...