Emergency - Wikipedia
The precise definition of an emergency, the agencies involved and the procedures used, vary by jurisdiction, and this is usually set by the government, whose agencies (emergency services) are …
The precise definition of an emergency, the agencies involved and the procedures used, vary by jurisdiction, and this is usually set by the government, whose agencies (emergency services) are …
As intelligent systems are increasingly capable of performing their tasks without the need for continuous human input, direction, or supervision, new human-machine interaction concepts are needed. A promising approach to this end is human-agent teami...
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An HTML5 Pool Game...with bombs! (⭐ 317)
I've been a nurse for 14 years and if there's one thing I wish more people understood about aging. Age related muscle loss is one of the strongest predictors of disability and early mortality in olde...
Recent advancements in LLMs have contributed to the rise of advanced conversational assistants that can assist with user needs through natural language conversation. This paper presents a ScheduleMe, a multi-agent calendar assistant for users to mana...
The recently released model, Claude 3.5 Computer Use, stands out as the first frontier AI model to offer computer use in public beta as a graphical user interface (GUI) agent. As an early beta, its capability in the real-world complex environment rem...
In this paper we propose a periodic solution to the problem of persistently covering a finite set of interest points with a group of autonomous mobile agents. These agents visit periodically the points and spend some time carrying out the coverage ta...
Economists use the term representative agent to refer to the typical decision-maker of a certain type (for example, the typical consumer, or the typical
Jun 16, 2025 · In this white paper, we present AlphaEvolve, an evolutionary coding agent that substantially enhances capabilities of state-of-the-art LLMs on highly challenging tasks such as …
May 14, 2025 · AlphaEvolve is an agent that can go beyond single function discovery to evolve entire codebases and develop much more complex algorithms.
In the United States, a special agent is an official title used to refer to certain investigators or detectives of federal, military, tribal, or state
Multi-agent reinforcement learning (MARL) holds substantial promise for intelligent decision-making in complex environments. However, it suffers from a coordination and scalability bottleneck as the number of agents increases. To address these issues...
1 day ago · ESPN put 49ers edge rusher and former Philadelphia Eagles $51 million free agent Bryce Huff on list of likely salary cap casualties.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. (⭐ 12478)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. (⭐ 29902)
The oldest person to ever live, Jeanne Calment, reached 122 before dying in her hometown of Arles, France, in 1997. But along the way, she eschewed conventional medicine, smoked cigarettes until she w...
Dynamic epistemic logics consider formal representations of agents' knowledge, and how the knowledge of agents changes in response to informative events, such as public announcements. Quantifying over informative events allows us to ask whether it is...
GUI agents hold significant potential to enhance the experience and efficiency of human-device interaction. However, current methods face challenges in generalizing across applications (apps) and tasks, primarily due to two fundamental limitations in...
Recently, Multimodal Large Language Models (MLLMs) have been used as agents to control keyboard and mouse inputs by directly perceiving the Graphical User Interface (GUI) and generating corresponding commands. However, current agents primarily demons...