Objectives The use of economic evidence to prioritise vaccines and delivery strategies to optimally use in immunisation systems is becoming a global priority, especially in low- and middle-income ...

Abstract: Trajectory clustering is an essential task in spatial data mining. To address this problem, many previous studies either extended traditional clustering algorithms with spatial features of ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Science and Technology Daily, China's major science newspaper, unveiled the country's top 10 sci-tech news events in 2025 on Thursday, including the large model Deepseek, the Experimental Advanced ...

Abstract: Nowadays, almost every manufacturing industry primarily focuses on precision manufacturing, which can now be easily possible due to advanced rapid prototyping techniques to achieve their ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

By engineering a system replicating the womb lining with high biological accuracy, researchers at the Babraham Institute and ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

Explore MCP vulnerabilities in a post-quantum world. Learn about PQC solutions, zero-trust architecture, and continuous monitoring for AI infrastructure security.

There are over 36,500 pieces of space debris of larger than 10 cm in orbit according to statistical model orbit provided by ...