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.
Brilliant figures such as Sergey Nikitovich Mergelyan (1928-2008) defined the 20th century as an era for extraordinary mathematical discovery. Mergelyan was best known for his contributions to ...
In view of current status of theoretical particle physics, this paper is especially interesting as it “smells” SUPERSYMMETRY. Källén shows the cancellation of divergences in the fourth-order in the ...
ABSTRACT: Based on theorems, the Atomic AString Functions theory, evolving since the 1970s, is introduced into Quantum Mechanics to represent a wave function via the shifts and stretches of smooth ...
With Windows 10 officially losing support next year, Windows 11 is poised to take over as the dominant operating system. Many users have already switched over to the latest Microsoft OS – and while it ...
Problems continuously arise in organizational life, making problem-solving an essential skill for leaders. Leaders who are good at tackling conundrums are likely to be more effective at overcoming ...
Two weeks ago, a modest-looking paper was uploaded to the arXiv preprint server with the unassuming title “On the invariant subspace problem in Hilbert spaces”. The paper is just 13 pages long and its ...
Nathan Brownlowe does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...
Abstract: Bilevel optimization involves two levels of optimization, where one optimization problem is nested within the other. The structure of the problem often requires solving a large number of ...
An illustration of a magnifying glass. An illustration of a magnifying glass.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback