Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Abstract: This article develops a novel online adaptive dynamic programming algorithm with adjustable convergence rate to address the optimal control problem of nonlinear systems. Relaxation factors ...
A nostalgic hit built out of vintage pop-culture references captured the “If you liked that, you’ll like this” spirit of Netflix. In the summer of 2016, streaming TV was still figuring itself out.
The Trump administration is soon expected to propose a plan that would cap loans for a number of advanced degrees—including master’s and doctoral degrees in nursing—and it’s gone viral on social media ...
Abstract: With the development of autonomous vehicle technology, planning an efficient trajectory for automatic parking while considering multiple factors such as path length, task time, and passenger ...
The definition of TV continues to evolve as consumer behavior changes. What is considered TV has moved beyond cable or streaming programming and has creeped into short form and social content as well.
Compliance, compute and cross-border rules are becoming the true arbiters of A.I. advantage. Unsplash+ The contest for A.I. leadership has shifted from lab breakthroughs to law books. Over the next ...
Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...
Non-UPF Verified officially launched its pilot program to develop the first third-party standard for non-ultra-processed foods verification as calls to regulate ultra-processed foods (UPFs) mount. Non ...
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