Is recursive self‑improvement the dawning of AI superintelligence?

The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about ...
IEEE

Dynamic Programming and a Verification Theorem for the Recursive Stochastic Control Problem of Jump-Diffusion Models With Random Coefficients

Abstract: In this article, we consider the stochastic optimal control problem for (forward) stochastic differential equations (SDEs) with jump diffusions and random coefficients under a recursive-type ...
SiliconANGLE

Recursive Superintelligence raises $650M to build self-improving AI models

Recursive Superintelligence Inc., a startup that hopes to develop self-improving artificial intelligence models, launched today with $650 million in funding. Alphabet Inc.’s GV fund and Greycroft led ...
IEEE

Differential dynamic programming with nonlinear constraints

Abstract: Differential dynamic programming (DDP) is a widely used trajectory optimization technique that addresses nonlinear optimal control problems, and can readily handle nonlinear cost functions.
CU Boulder News & Events

CSCA 5414: Dynamic Programming, Greedy Algorithms

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...
Hacker

Real-world Use Cases of Dynamic Programming

Dynamic programming is a powerful technique for solving optimization problems that can be divided into smaller sub-problems. The main idea of dynamic programming is to avoid recomputing the same ...