Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Many small businesses use AI, but have you ever wondered how they work and where AI models get their data from?

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

What if cattle were selected not only for their productivity, but also for their resistance to disease? A study conducted by ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions. With the market for these ...