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 ...

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

Multi-modal prompt learning is a high-performance and cost-effective learning paradigm, which learns text as well as image prompts to tune pre-trained vision-language (V-L) models like CLIP for ...

Embedr is an AI-powered Arduino-like IDE designed to simplify development for Arduino-compatible microcontrollers. It looks ...

In this large multicenter study, over one-third of patients failed to meet ePRO-guided nutritional targets, highlighting substantial challenges in adherence. Further, we identified key predictors ...

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.

In modern education, learning Science, Technology, Engineering, and Mathematics (STEM) has become an essential requirement. Physical computing, embedded systems, and Internet of Things (IoT) have been ...