To meet rising semiconductor industry demand, the Government has launched the Semiconductor Workforce Development Programme, ...

For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...

AI brings its own validation challenges. Unlike static assays, machine learning algorithms evolve as they ingest new data, ...

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.

Computational fluid dynamics (CFD) has increasingly attracted the attention of researchers as it enables the resolution of ...

While self-healing agentic test suites can help eliminate the manual intervention consuming engineering cycles, there are key strategies to make this approach successful.

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

China’s move to make AI education compulsory in primary schools sets a global benchmark for ambition. Backed by substantial ...

An always-on intelligence setup needs specific building blocks that work together without pause. The core starts with compute ...

At Simulation World Detroit, executives shared their views on the early integration of AI, data, models, and simulations to ...

Along with enabling KubeRay, take your existing Ray-based PyTorch code and use it to build a Docker container that can be ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...