Although few-shot learning (FSL) has achieved great progress, it is still an enormous challenge especially when the source and target sets are from different domains, which is also known as ...

What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...

As the use of Unmanned Aerial Vehicles (UAVs) expands across various fields, there is growing interest in leveraging Federated Learning (FL) to enhance the efficiency of UAV networks. However, ...

Businesses are increasingly aiming to scale AI, but they often encounter constraints such as infrastructure costs and computational demands. Although large language models (LLMs) offer great potential ...

New and emerging computing technologies have taken artificial intelligence (AI) and machine learning (ML) from potential game changers to genuine powerhouses of innovation. While there's certainly a ...

A super geeky topic, which could have super important repercussions in the real world. That description could very well fit anything from cold fusion to knowledge graphs, so a bit of unpacking is in ...

Medical physicists explored a range of education and training scenarios for AI and machine learning at last month’s ESTRO Annual Congress ESTRO 2022: Every radiotherapy physicist should know about ...