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This study develops a mobile-supported system that local governments can use in their irregular waste collection services within the scope of smart cities. Irregular waste refers to waste that individuals or organizations produce non-periodically, which arises unexpectedly or in an unusual manner. This waste can accumulate within the city and cause environmental pollution if it is not notified to the municipality or local government for collection. Unlike small-volume household waste collected at routine times, irregular waste is generally […]

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Sign language translation (SLT) aims to convert sign language videos into spoken language text, serving as a critical bridge for communication between the Deaf and hearing communities. While recent advances in Multimodal Large Language Models (MLLMs) have shown promising results in gloss-free SLT, existing methods typically rely on single-modality visual features, failing to fully exploit the complementary nature of appearance and structural cues inherent in sign language. In this architectural proposition paper, we introduce SignFuse, a novel dual-stream […]

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Intensive salmon farming is associated with high mortality rates, highlighting the need for new welfare indicators that can detect adverse conditions earlier and less invasively than many current approaches. Existing animal-based indicators used in the industry typically depend on subjective scoring and provide information mostly after welfare problems have already developed, such as emaciation, wounds, or scale loss. Preliminary data and ongoing investigation suggest that melanin-based skin pigmentation may change dynamically with stress and condition in salmonid fishes. […]

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Clustering and dimensionality reduction have been crucial topics in machine learning and computer vision. Clustering high-dimensional data has been challenging for a long time due to the curse of dimensionality. For that reason, a more promising direction is the joint learning of dimension reduction and clustering. In this work, we propose a Manifold Learning Framework that learns dimensionality reduction and clustering simultaneously. The proposed framework is able to jointly learn the parameters of a dimension reduction technique (e.g. […]

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A digestible intro to procedural generation, occlusion maps, and ray tracing. If you don’t live under a rock, then you may have heard of the rock-climbing game PEAK. This breakout indie hit, primarily crunched out from a one-month Airbnb stay in Seoul1, has since seoul-ed over 10 million copies.2 Much of the game’s success can be attributed to its replayability. See, the goal of PEAK is to survive as you traverse six different biomes to get to the […]

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This is Part 4 of a 4-part series on the CAP Theorem and distributed systems trade-offs. Read Part 1, Part 2, or Part 3 if you haven’t already. We’ve dedicated three posts to treating CP and AP as binary choices. etcd is CP. DynamoDB is AP. Pick a side. But that’s not how real systems work. MongoDB can be CP or AP depending on your configuration. Cassandra lets you choose per query. Even PostgreSQL, which we covered as […]

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5,000 to 10,000 tokens. That’s what my AI agent was burning before changing a single line of frontend code. I started paying attention to this a while back. I’d ask the agent to do something small (“fix the padding on that card,” “swap this to the secondary variant”) and the actual edit would be maybe 200 tokens of real work. But the agent wouldn’t start with the edit. It would start with a search. Grepping the codebase, reading […]

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Hi, In this series we are going to learn Rust programming language by building exciting projects per article. For every article, we will first learn some concepts and then build a mini project. I promise you these mini projects will be exciting. The only prerequisite is, you should know any one programming language like just basics of it as this series will focus on teaching rust and not programming from zero. My motive is to explain how to […]

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A new Google Quantum AI paper shows that breaking Bitcoin’s elliptic curve signatures could require fewer than 500,000 physical qubits; that is roughly a 20x reduction from prior estimates. It is a real scientific result. But no machine with even 1% of that capacity exists today, and the paper is a resource estimate, not a timeline prediction. The actual story is that migration work is already underway, and the window to act is measured in years, not minutes.

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Real-world decision-making systems operate in environments where state transitions depend not only on the agent’s actions, but also on textbf{exogenous factors outside its control}–competing agents, environmental disturbances, or strategic adversaries–formally, $s_{h+1} = f(s_h, a_h, bar{a}_h)+ω_h$ where $bar{a}_h$ is the adversary/external action, $a_h$ is the agent’s action, and $ω_h$ is an additive noise. Ignoring such factors can yield policies that are optimal in isolation but textbf{fail catastrophically in deployment}, particularly when safety constraints must be satisfied. Standard Constrained MDP […]

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