arXiv:2601.04222v1 Announce Type: new Abstract: Many documentaries on early house and techno music exist. Here, protagonists from the scenes describe key elements and events that affected the evolution of the music. In the research community, there is consensus that such descriptions have to be examined critically. Yet, there have not been attempts to validate such statements on the basis of audio analyses. In this study, over 9,000 early house and techno tracks from Germany and the United States […]

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Internet of Things (IoT) Analytics often involves applying machine learning (ML) models on data streams. In such scenarios, traditional ML paradigms face obstacles related to continuous learning while dealing with concept drifts, temporal dependence, and avoiding forgetting. Moreover, in IoT, different edge devices build up a network. When learning models on those devices, connecting them could be useful in improving performance and reusing others’ knowledge. This work proposes Mutual Assisted Learning, a learning paradigm grounded on Vygotsky’s popular […]

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Identifying where quantum models may offer practical benefits in near term quantum machine learning (QML) requires moving beyond isolated algorithmic proposals toward systematic and empirical exploration across models, datasets, and hardware constraints. We introduce MerLin, an open source framework designed as a discovery engine for photonic and hybrid quantum machine learning. MerLin integrates optimized strong simulation of linear optical circuits into standard PyTorch and scikit learn workflows, enabling end to end differentiable training of quantum layers. MerLin is […]

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arXiv:2602.23546v1 Announce Type: new Abstract: Human reasoning often involves working over limited information to arrive at probabilistic conclusions. In its simplest form, this involves making an inference that is not strictly entailed by a premise, but rather only likely given the premise. While reasoning LLMs have demonstrated strong performance on logical and mathematical tasks, their behavior on such open-ended, non-deterministic inferences remains largely unexplored. We introduce ProbCOPA, a dataset of 210 handcrafted probabilistic inferences in English, each annotated […]

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I just sent the March edition of my sponsors-only monthly newsletter. If you are a sponsor (or if you start a sponsorship now) you can access it here. In this month’s newsletter: More agentic engineering patterns Streaming experts with MoE models on a Mac Model releases in March Vibe porting Supply chain attacks against PyPI and NPM Stuff I shipped What I’m using, March 2026 edition And a couple of museums Here’s a copy of the February newsletter […]

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The sixth Information-Theoretic Cryptography (ITC) conference will be held at UC Santa Barbara, California, on August 16-17, 2025. The conference is affiliated with CRYPTO 2025, and will take place in the same location just before CRYPTO. Information-theoretic cryptography deals with the design and implementation of cryptographic protocols and primitives with unconditional security guarantees and the usage of information-theoretic tools and techniques in achieving other forms of security. The conference takes a broad interpretation of this theme and encourages submissions […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## An Actionable CPS 234 Implementation Guide By @vanta [ 9 Min read ] CPS 234 is a prudential standard issued by APRA that mandates cyber resilience requirements for regulated entities. Read More. What is Agentic Testing? By @qatech [ 6 Min read ] If […]

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arXiv:2604.08804v1 Announce Type: new Abstract: Digital firms routinely run many online experiments on shared user populations. When product decisions are compositional, such as combinations of interface elements, flows, messages, or incentives, the number of feasible interventions grows combinatorially, while available traffic remains limited. Overlapping experiments can therefore generate interaction effects that are poorly handled by decentralized A/B testing. We study how to design large-scale factorial experiments when the objective is not to estimate every treatment effect, but to […]

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Agentic Engineering Patterns > Many developers worry that outsourcing their code to AI tools will result in a drop in quality, producing bad code that’s churned out fast enough that decision makers are willing to overlook its flaws. If adopting coding agents demonstrably reduces the quality of the code and features you are producing, you should address that problem directly: figure out which aspects of your process are hurting the quality of your output and fix them. Shipping […]

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