Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

As the COVID-19 pandemic wreaked havoc and lives were at stake, the advice experts gave to decision-makers became ...

Abstract: Nonlinear model predictive control (NMPC) algorithms have been widely used in autonomous vehicle trajectory tracking, yet their performance is primarily limited by the accuracy of the ...

This project includes playground examples organized by chapters to help you learn everything about Apple's Foundation Models framework. It is part of the Exploring Foundation Models book.

In learning goal-directed behavior, state representation is important for adapting to the environment and achieving goals. A predictive state representation called successive representation (SR) has ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Brain-computer interfaces (BCIs) are advanced and innovative systems that enable direct communication between humans and external devices by utilizing data encoded in the brain activity (Shi et al., ...

Hello! Thank you for the great work you did on Pipecat. I was checking out the examples and I noticed that examples use 1 or more models that require the use of an API key.

Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...

The telecommunications landscape is constantly evolving, driven by innovation that extends far beyond the traditional mobile operator. At the forefront of this change are Mobile Virtual Network ...