arXiv:2602.20351v1 Announce Type: new Abstract: Full-Reference image quality assessment (FR IQA) is important for image compression, restoration and generative modeling, yet current neural metrics remain slow and vulnerable to adversarial perturbations. We present BiRQA, a compact FR IQA metric model that processes four fast complementary features within a bidirectional multiscale pyramid. A bottom-up attention module injects fine-scale cues into coarse levels through an uncertainty-aware gate, while a top-down cross-gating block routes semantic context back to high resolution. To […]

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:::info Astounding Stories of Super-Science April 2004, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. THE COUNTRY OF THE BLIND – X. — THE TREASURE IN THE FOREST. Astounding Stories of Super-Science April 2004: THE COUNTRY OF THE BLIND – X. — THE TREASURE IN THE FOREST. By H. G. Wells ::: The canoe was now approaching the land. The bay opened out, and a gap […]

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arXiv:2511.04403v2 Announce Type: replace Abstract: Bayesian experimental design (BED) provides a principled framework for optimizing data collection by choosing experiments that are maximally informative about unknown parameters. However, existing methods cannot deal with the joint challenge of (a) partially observable dynamical systems, where only noisy and incomplete observations are available, and (b) fully online inference, which updates posterior distributions and selects designs sequentially in a computationally efficient manner. Under partial observability, dynamical systems are naturally modeled as state-space […]

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arXiv:2601.20882v1 Announce Type: new Abstract: Even though demonstrating extraordinary capabilities in code generation and software issue resolving, AI agents’ capabilities in the full software DevOps cycle are still unknown. Different from pure code generation, handling the DevOps cycle in real-world software, including developing, deploying, and managing, requires analyzing large-scale projects, understanding dynamic program behaviors, leveraging domain-specific tools, and making sequential decisions. However, existing benchmarks focus on isolated problems and lack environments and tool interfaces for DevOps. We introduce […]

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In the early days of distributed systems, we lived in a world of Request-Response. One service asked, another answered. It was synchronous, predictable, and easy to trace. But as our systems scaled from a handful of servers to hundreds of microservices, this “web of calls” began to tangle. Today, architects face a fundamental choice when designing how these services talk to one another: Do we use Orchestration (the Conductor approach) or Choreography (the Dance approach)? This choice isn’t […]

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Hello my fellows. I’m doing my research on embedded system, and I want to use RL for a routing algorithm (I have a very specific scenario where using it is interesting). I’d like to know which lib should I use considering: It is a MAS (multi agent system) I will first try with regular DNQ and them shrinking it to fit in a embedded system Has a good future as a lib so I can put some effort […]

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In an industry where token launches routinely precede working products by months or years, Playnance is attempting something unusual: launching its G-Token into an ecosystem that already functions. Playnance, a Tel Aviv-based Web3 infrastructure company announced that its “Be The Boss” partner program has distributed more than $2 million in real cash to 2,567 active partners, while the broader platform has generated $5.3 million in total revenue. The G-Token launch, now imminent, does not create the ecosystem. It […]

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arXiv:2603.10059v1 Announce Type: new Abstract: Flexible sensors are increasingly employed in soft robotics and wearable devices to provide proprioception of freeform deformations.Although supervised learning can train shape predictors from sensor signals, prediction accuracy strongly depends on sensor layout, which is typically determined heuristically or through trial-and-error. This work introduces a model-free, data-driven computational pipeline that jointly optimizes the number, length, and placement of flexible length-measurement sensors together with the parameters of a shape prediction network for large freeform […]

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