Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device trainer and a machine learning model. This first article in a two-part hands-on tutorial will show you ...

Figure 1 | Machine-learning models of cognition. a, Binz et al. 3 model human cognition using a foundation model, a type of deep artificial neural network trained on large data sets that can adapt ...

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML empowers teams to build, deploy, and manage machine learning models with ease and ...

Saama's LSAC is an end-to-end, Machine Learning (ML)-enabled, clinical data management and cognitive insight platform designed to accelerate clinical research outcomes.

With the connection made, the AI model can now access real-time data and functions from the server, updating its context dynamically.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Windows machine learning is one of the highlights of this year’s Microsoft annual developer event. The company is also paving the way to multi-agent artificial intelligence in Windows.