In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Applicants are not supposed to use AI to write college essays. But colleges are using AI to help assess applications. At ...

Across healthcare, providers are rapidly deploying tools such as ambient clinical documentation, while payers are adopting AI-powered agents for a growing range of operational and administrative use ...