A.I. Writes Buggy Code. A Silicon Valley Start-Up Wants to Fix It.

Valued at $1.6 billion, a tiny start-up called Axiom is building A.I. systems that can check for mistakes. Axiom Math’s founder and chief executive, Carina Hong, right, and the chief technology ...
IEEE

Automatic programming via large language models with population self-evolution for dynamic fuzzy job shop scheduling problem

Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific scenarios ...
IEEE

Dynamic Collision Avoidance Using Velocity Obstacle-Based Control Barrier Functions

Abstract: Designing safety-critical controllers for acceleration-controlled unicycle robots is challenging, as control inputs may not appear in the constraints of control Lyapunov functions (CLFs) and ...