Model Predictive Control (MPC) is a widely used optimization-based control strategy for constrained systems. MPC relies on the repeated online solution of an optimal control problem, which determines ...

The agents allow developers to streamline application logic by composing workflows directly in Python, enabling a mix of static instructions and dynamic inputs to drive interactions.

The new logic-of-thought (LoT) prompt is handy for situations in generative AI where your question or problem is especially logic-based. Here's the scoop on using LoT.

MIT this week showcased a new model for training robots. Rather than the standard set of focused data used to teach robots new tasks, the method goes big, ...

A Python program that solves Knights and Knaves logic puzzles using propositional logic and model-checking algorithms. Determine the truthfulness of characters based on their statements to solve these ...

By deriving expanded logical information from input context using propositional logic, LoT augments original prompts to enhance LLMs’ logical reasoning capabilities. Its compatibility with existing ...