Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing large sets of data.

Teams are embedding MCP into their workflows to supercharge development. By linking MCP servers to internal Git environments, they create a “Git bridge” that gives AI direct context on their codebase, ...

Autonomous applications demand instant decisions, which require significant edge processing to achieve optimal latency ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Explore the innovative X0 prototype chip and Z1 processor, designed to save energy while advancing machine learning ...

| Build smarter healthcare apps, faster. See how clinical data repositories help developers unlock clinical data and drive ...

How AI gave us ML, and, in turn, TinyML. How ML and TinyML are being used today. What may be on the horizon. Machine learning, a form of artificial intelligence, can trace its roots back to the late ...

Developing AI and machine learning applications requires plenty of GPUs. Should you run them on-premises or in the cloud? While graphics processing units (GPUs) once resided exclusively in the domains ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...