Each user session is assigned a dedicated Docker container that runs until the browser tab is closed. If your code imports a package that is not available, the sandbox automatically installs it from ...
New tool enables enterprise-scale evaluation of production AI agents through digital twins and synthetic customers.
One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...
We present Prover Agent, a novel AI agent for automated theorem proving that integrates large language models (LLMs) with a formal proof assistant, Lean. Prover Agent coordinates an informal reasoning ...
Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...
Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...
Abstract: Integrated energy systems face challenges such as inconsistent equipment parameters, unmeasurable data, and complex coupling mechanisms. To address these issues, this paper develops an ...
Meta (META) said on Monday that it will buy Manus—a Singapore-based AI startup specializing in general-purpose AI agents—for more than $2 billion, the Wall Street Journal reported, citing sources ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results