Autonomous agents, tool use, and agentic systems
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We're in the DNS era of agent infrastructure. Before agents can find and trust each other at scale, you need identity, attestation, reput...
In addition to their efforts around the Lemonade SDK itself, AMD software engineers working on their AI initiatives continue to be invest...
Experts caution against using AI for tax filing, highlighting risks of errors and privacy concerns. Taxpayers could face penalties for re...
The article explores the intersection of AI and trauma healing within mission work, highlighting innovative approaches to reach underserv...
Alibaba has launched its latest AI model, Qwen3.5, featuring enhanced agentic capabilities and improved performance, amidst rising compet...
This article investigates the recall degradation of large language models (LLMs) during extended coding sessions, revealing a significant...
This article outlines the seven types of artificial intelligence, detailing their capabilities and functionalities, from narrow AI to sel...
Terence Tao discusses the rapid advancements in machine-assisted mathematical research, focusing on formal proof assistants, large langua...
Meta has patented an AI technology that can take over deceased individuals' social media accounts to continue posting and interacting onl...
A security audit reveals over 18,000 exposed OpenClaw instances and alarming findings of malicious instructions in 15% of community-built...
A Reddit user shares their experience of undergoing a phone screening interview conducted by AI, highlighting the interaction and their t...
The UK is set to implement strict online safety regulations for AI chatbots, aiming to enhance user protection and accountability in digi...
The article critiques OpenClaw, an AI project, highlighting skepticism from experts regarding its novelty and security flaws, particularl...
This article discusses two significant stories: a cybersecurity researcher facing death threats from hackers and a musician using AI to r...
The article discusses a potential issue where Google may mistakenly identify a website as being down due to network security blocks, impa...
![[2602.11042] Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This paper explores the trainability of Instantaneous Quantum Polynomial Circuit Born Machines (IQP-QCBMs), addressing the challenges pos...
This article explores the effectiveness of agentic theorem provers through a statistical provability theory, analyzing their performance ...
This paper presents a novel reinforcement learning framework for beam positioning in low Earth orbit (LEO) satellite constellations, achi...
The paper presents BayesG, a decentralized actor-framework for networked multi-agent reinforcement learning (MARL) that enhances adaptabi...
This article explores the use of Transformers as measure-to-measure maps, detailing their ability to process arbitrary input and target m...
The paper presents a novel approach to the Rising Multi-Armed Bandit (RMAB) problem, introducing CUmulative Reward Estimation UCB (CURE-U...
This paper explores the concept of 'epistemic throughput' in attention-constrained inference, analyzing how generative AI systems can man...
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