What You’re Building Two binaries — hbbs (ID/Rendezvous) and hbbr (Relay) — managed by NSSM as auto-start Windows services. Clients on your LAN connect through your server instead of RustDesk’s public infrastructure. Your server generates an Ed25519 keypair on first run. Every client needs the public key to trust your server. Lose the private key, regenerate everything. Prerequisites Step 1: Download Binaries Create a dedicated directory. This guide uses C:RustDeskServer — pick any path, but don’t move it […]

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Introducing Deno Sandbox Here’s a new hosted sandbox product from the Deno team. It’s actually unrelated to Deno itself – this is part of their Deno Deploy SaaS platform. As such, you don’t even need to use JavaScript to access it – you can create and execute code in a hosted sandbox using their deno-sandbox Python library like this: export DENO_DEPLOY_TOKEN=”… API token …” uv run –with deno-sandbox python Then: from deno_sandbox import DenoDeploy sdk = DenoDeploy() with […]

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Yes, there’s open-source and free-to-use software for the fashion industry! When it comes to creating powerful digital tools for this purpose, there are many developers worldwide building programs available for download and use without needing a huge budget or a partnership with a famous brand name. Most of these projects include everything from 3D visioning, simulation of fabrics, managing production processes, and many more.  We have below a few examples of the innovations that have become accessible through […]

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The Lyria 3 AI music generator helps creators compose original soundtracks through basic text commands, eliminating the requirement for music and audio production expertise. The content creation industry drives the increased requirement for AI music tools, which enable creators to obtain audio materials at no cost for their video, podcast, and social media projects. Key Lyria 3 Features The Lyria 3 features make it one of the most advanced AI music generation tools currently. 1. Advanced Music Generation […]

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We study model-free reinforcement learning (RL) in non-stationary finite-horizon episodic Markov decision processes (MDPs) without prior knowledge of the non-stationarity. We focus on the piecewise-stationary (PS) setting, where both the reward and transition dynamics can change an arbitrary number of times. We propose Detection Augmented Reinforcement Learning (DARLING), a modular wrapper for PS-RL that applies to both tabular and linear MDPs, without knowledge of the changes. Under certain change-point separation and reachability conditions, DARLING improves the best available […]

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IEEE 802.11be (Wi-Fi 7) extends wireless network capability through wider channels, higher-order modulation, and tri-band operation; however, realised indoor performance is strongly governed by propagation constraints. This study , therefore, presents a controlled empirical assessment of Wi-Fi 7 behaviour in a multi-storey university building, examining throughput and received signal strength across 2.4-, 5-, and 6 GHz bands using a single-link radio propagation measurement. Six experimental scenarios were designed to isolate dominant indoor impairments, including distance variation, wall penetration, […]

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Active learning (AL) reduces labeling cost by querying informative samples, but in tabular settings its cold-start gains are often limited because uncertainty estimates are unreliable when models are trained on very few labels. Tabular foundation models such as TabPFN provide calibrated probabilistic predictions via in-context learning (ICL), i.e., without task-specific weight updates, enabling an AL regime in which the labeled context – rather than parameters – is iteratively optimized. We formalize Tabular Active In-Context Learning (Tab-AICL) and instantiate […]

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