Browsing: Machine Learning

Microsoft Research Asia is dedicated to advancing innovations that promote the harmonious coexistence of AI and society. Here, we showcase cutting-edge work in human-machine interaction. We also explore how technology can better serve humanity, drawing inspiration from human intelligence. These efforts aim to drive progress in both technology and society, paving the way for a smarter, more harmonious, and sustainable future.

Experts predict the leading areas where artificial intelligence will have an increasing impact on daily life.

An in-depth look at Shivon Zilis, her career in AI and venture capital, and her relationship with Elon Musk.

As AI models compete for dominance, the focus shifts towards efficiency, with smaller, smarter models potentially surpassing data-hungry behemoths.

Researchers at Weill Cornell Medicine and Cornell have developed LILAC, an AI-based system that can accurately detect changes and predict outcomes from longitudinal image data, with applications in various medical and scientific fields.

Explore how Radboud University Medical Center Nijmegen (Radboudumc) built a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS).

An examination of the environmental impact of generative AI, particularly large language models (LLMs), and strategies for mitigating their ecological footprint.

Learn how Automat-it helped a customer achieve significant cost savings in their AI-powered video intelligence solution by optimizing GPU utilization on AWS.

An analysis of the evolving regulatory landscape surrounding AI and machine learning in healthcare, focusing on developments in the U.S., European Union, and China.

Amazon continues to integrate artificial intelligence across various services, from its shopping assistant Rufus to new Fire TV features and advancements in cloud computing.