technocracy

arXiv:2602.10218v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have sparked growing interest in applying them to hardware design automation, particularly for accurate RTL code generation. Prior efforts follow two largely independent paths: (i) training domain-adapted RTL models to internalize hardware semantics, (ii) developing agentic systems that leverage frontier generic LLMs guided by simulation feedback. However, these two paths exhibit complementary strengths and weaknesses. In this work, we present ACE-RTL that unifies both directions through […]

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arXiv:2602.21337v1 Announce Type: new Abstract: AI is becoming increasingly integrated into everyday life, both in professional work environments and in leisure and entertainment contexts. This integration requires AI to move beyond acting as an assistant for informational or transactional tasks toward a genuine collaborative partner. Effective collaboration, whether between humans or between humans and AI, depends on establishing and maintaining common ground: shared beliefs, assumptions, goals, and situational awareness that enable coordinated action and efficient repair of misunderstandings. […]

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The Proof of Usefulness Hackathon is HackerNoon’s way of spotlighting projects that actually work – together we celebrate software that solves real problems instead of chasing hype. Whether it’s a solo side project or a bigger build, this hackathon rewards projects that are genuine and rooted in practical problem-solving. B-But how do we enter? How do I get my project enrolled to the prize consideration queue? We heard ya – and today’s guide will walk you through in detail, exactly how to […]

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arXiv:2603.22468v1 Announce Type: new Abstract: We derive posterior contraction rates (PCRs) and finite-sample Bernstein von Mises (BvM) results for non-parametric Bayesian models by extending the diffusion-based framework of Mou et al. (2024) to the infinite-dimensional setting. The posterior is represented as the invariant measure of a Langevin stochastic partial differential equation (SPDE) on a separable Hilbert space, which allows us to control posterior moments and obtain non-asymptotic concentration rates in Hilbert norms under various likelihood curvature and regularity […]

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Riyadh is set to become the global stage for modern artificial intelligence with the upcoming Global AI Show (GAIS), beginning from 09-10 February 2026. Organized by VAP Group and powered by the Times of AI, the event offers the latest breakthroughs in AI, machine learning, and automation, and provides a platform for companies and thought leaders to exchange ideas and lead the industry forward. Our past speakers have represented a remarkable mix of global leaders, visionaries, and innovators […]

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arXiv:2604.13101v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs) into aviation safety decision-making represents a significant technological advancement, yet their standalone application poses critical risks due to inherent limitations such as factual inaccuracies, hallucination, and lack of verifiability. These challenges undermine the reliability required for safety-critical environments where errors can have catastrophic consequences. To address these challenges, this paper proposes a novel, end-to-end framework that synergistically combines LLMs and Knowledge Graphs (KGs) to enhance the […]

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The Traveling Salesman Problem (TSP) is one of the most famous problems in combinatorial optimization. Given a set of cities and the distances between them, the task is to find the shortest possible route that visits each city exactly once and returns to the starting point. Despite its simple formulation, TSP is NP-hard,and understanding how algorithms search for optimal solutions can be difficult for students encountering the problem for the first time. To make this process more tangible, […]

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arXiv:2603.06667v1 Announce Type: new Abstract: We design and implement on Radio Frequency System-on-Chip (RFSoC) software-defined radios (SDRs) a complete-graph network of four unmanned aerial vehicles and demonstrate real-time 4K video streaming over twelve always-on 2×2 multiple-input multiple-output (MIMO) links. The testbed operates at an aggregate network throughput of approximately 1.2 Gbps (i.e., 12 links of 99.84 Mbps) across a shared bandwidth of 200 MHz. To the best of our knowledge, this is the first demonstration of low-latency digitally […]

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