Microsoft's newest open-source project: Runtime security for AI agents
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Autonomous agents, tool use, and agentic systems
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Abstract page for arXiv paper 2510.16609: Prior Knowledge Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods
Abstract page for arXiv paper 2604.02131: Intelligent Cloud Orchestration: A Hybrid Predictive and Heuristic Framework for Cost Optimization
Peter Steinberger, creator of OpenClaw, shares insights on AI development, emphasizing a playful approach and the importance of experimen...
Anthropic executives suggest that their AI model, Claude, may possess a form of consciousness, sparking debates about the implications of...
David Luan, head of Amazon's AGI lab, is leaving the company after less than two years, amid challenges in Amazon's AI initiatives and co...
This paper demonstrates how large language models (LLMs) can deanonymize users based on their online posts, achieving high precision acro...
Amazon has introduced new personality options for its AI assistant, Alexa+, allowing users to choose from Brief, Chill, and Sweet styles ...
Atlassian's latest update to Jira introduces 'agents in Jira', allowing users to manage AI agents alongside human employees, enhancing pr...
Amazon introduces three new personality styles for Alexa Plus users, allowing customization of the AI's conversational tone to be more br...
TeamOut is an AI-driven platform that simplifies event planning by quickly matching users with suitable venues and providing instant quot...
Ailias offers a unique service that creates interactive hologram avatars of historical figures, allowing users to engage in conversations...
The article discusses the relevance of Integrated Development Environments (IDEs) in the context of autonomous AI development, highlighti...
An experiment in game development where the author created a fully playable FPS, 'Zombie Slayer,' using only AI-generated prompts without...
The article discusses the development of an AI chatbot, Chumi, that simulates conversations with over 3,500 historical figures, emphasizi...
PwC and Anthropic announce a collaboration to deploy Enterprise AI Agents in finance and life sciences, enhancing regulated workflows wit...
The paper explores the Complexity-Diversity Principle (CDP) in dense retrieval training, highlighting the trade-off between query quality...
This paper presents a spectral framework for analyzing graph neural operators, focusing on convergence guarantees and tradeoffs under var...
This paper presents a novel stochastic quantum spiking neuron model that integrates quantum memory and local learning, enhancing the effi...
This article presents a novel algorithm for controlling unknown strongly monotone games, focusing on adjusting Nash equilibria to meet li...
The paper presents MUSE, a framework for multi-tenant model serving that allows seamless updates of machine learning models, optimizing d...
ContextPilot introduces a novel approach to accelerate long-context inference in AI, enhancing reasoning quality while reducing latency t...
The paper introduces One-Step Flow Q-Learning (OFQL), a novel framework that improves offline reinforcement learning by enabling one-step...
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