Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

Discover Kimi K2, the open-source AI model with one trillion parameters, redefining innovation and accessibility in ...

Learn how Kimi K2’s open-weight framework and sparse architecture are transforming AI coding and fostering global ...

For bionic underwater robots, it is a great challenge for depth control due to model uncertainty and strong nonlinearity. To this end, we propose a data-driven model predictive control (MPC) approach ...

Traffic oscillations degrade efficiency, increase safety risks, and lead to excessive energy consumption. To address this, we propose the Bilateral Control Model with Deep Reinforcement Learning ...

Embedded AI combines machine learning with edge devices for local, real-time intelligence.Courses range from beginner to ...