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Deploying RL agents on real physical hardware often reveals a catastrophic flaw: hardware drift. I built MicroSafe-RL to act as a real-time safety interceptor that constrains the action space based on hardware stability signatures. Universal Gym Wrapper: I’ve added a MicroSafeWrapper that allows you to apply the same safety shielding and reward shaping during simulation that you will use on the actual hardware. Reward Shaping: The wrapper uses a safety signal to penalize entropy and “Chaos” states, helping […]

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How are you, hacker? 🪐 What’s happening in tech today, April 3, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The First Handheld Mobile Phone Is Made in 1973, Martin Luther King’s last speech in 1968, Osborne 1 is launched in 1981, First Gen Ipad released in 2010, Panama Papers Leaked in 2016, and we present you with these top quality stories. From Microsoft Generative AI Report: The 40 Most Disrupted […]

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Half the questions I got asked when I interviewed in 2022 are irrelevant now. Here are the ones I’d ask today. The BI engineering interview hasn’t caught up with the job. I’ve been on both sides of the table. I’ve answered questions about star schemas, slowly changing dimensions, and the difference between OLAP and OLTP. I’ve also asked those questions. And here’s what I’ve realized: most BI interview question lists were written for a world where the job […]

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’m scoping out a topic on robotic clothes folding and need a sanity check on my proposed stack. I’m thinking of combining a VLA (Vision-Language-Action) foundation model for semantic reasoning, SERL (Sample Efficient RL) for fine-tuning the physical manipulation, and DAgger / HIL for human-in-the-loop corrections during out-of-distribution states. I want to know if this is actually feasible ? any landmines I might runinto ? submitted by /u/Ok_Abbreviations2264 [link] [comments]

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Welcome to another edition of HackerNoon Projects of the Week, where we spotlight standout projects from the Proof of Usefulness Hackathon, HackerNoon’s competition designed to measure what actually matters: real utility over hype. Each week, we highlight projects that demonstrate clear usefulness, technical execution, and real-world impact, backed by data, not buzzwords. This week, we’re spotlighting three projects tackling problems from decentralized blockchain infrastructure and emerging-market retail digitization to social fitness networking: Movement Network Foundation, Packworks, and Kyram. :::info Want to […]

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The Axios team have published a full postmortem on the supply chain attack which resulted in a malware dependency going out in a release the other day, and it involved a sophisticated social engineering campaign targeting one of their maintainers directly. Here’s Jason Saayman’a description of how that worked: so the attack vector mimics what google has documented here: https://cloud.google.com/blog/topics/threat-intelligence/unc1069-targets-cryptocurrency-ai-social-engineering they tailored this process specifically to me by doing the following: they reached out masquerading as the founder […]

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We generalize the framework of Fredholm Neural Networks, to learn non-expansive integral operators arising in Fredholm Integral Equations (FIEs) of the second kind in arbitrary dimensions. We first present the proposed Fredholm Integral Neural Operators (FREDINOs), for FIEs and prove that they are universal approximators of linear and non-linear integral operators and corresponding solution operators. We furthermore prove that the learned operators are guaranteed to be contractive, thereby strictly satisfying the mathematical property required for the convergence of […]

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