In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

AI bots told to act as trading agents in simulated markets engaged in pervasive collusion, raising new questions about how ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and adjust goals even in the face ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

OpenAI says prompt injection attacks remain an unsolved and enduring security risk for AI agents operating on the open web, ...

Science and Technology Daily, in collaboration with media partners and a panel of academicians from the Chinese Academy of Sciences and the Chinese Academy of Engineering, has selected the 2025 top 10 ...

These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

AI in 2025 shifted from hype to economics, defined by compute, energy, infrastructure limits, enterprise adoption, and ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

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