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. ## AI Products Have Terrible UX: Here’s Why By @deeflect [ 8 Min read ] Most AI products have terrible UX – not because the AI is bad, but because no one who understands both AI and design is building them. Read More. OpenAI Bought […]

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arXiv:2602.15181v1 Announce Type: new Abstract: Camera virtualization — an emerging solution to novel view synthesis — holds transformative potential for visual entertainment, live performances, and sports broadcasting by enabling the generation of photorealistic images from novel viewpoints using images from a limited set of calibrated multiple static physical cameras. Despite recent advances, achieving spatially and temporally coherent and photorealistic rendering of dynamic scenes with efficient time-archival capabilities, particularly in fast-paced sports and stage performances, remains challenging for existing […]

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We present a self-contained exposition of the Lyons carabiner, focusing on the triple obstruction mechanism arising in Section~ref{sec:triple}. Three independent numerical obstructions—phantom coupling $pi$, holonomy defect $rho$, and braid deficit $beta$—together form the triple $(pi,rho,beta)=(3,4,9)$, which uniquely recovers the MDS code $[6,4,3]_5$ over $mathbb{F}_5$. This identification is not a postulate but a provable consequence of the weight distribution and the complement involution. We then develop the Pontryagin–Heegner bridge: phantom weights are “silent frequencies” in the Pontryagin dual of […]

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The life of a prescription at Amazon Pharmacy From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money. Conversational AI Alexandre Alves Anita Vila September 30, 01:32 PM October 02, 11:42 AM Pharmacies play a vital role in ensuring patients health, but the process of dispensing medications is far more complex than it may appear. At Amazon Pharmacy, we are using artificial […]

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Hi everyone, I’m working on a large-scale reinforcement learning experiment to compare the convergence behavior of several classical temporal-difference algorithms such as: SARSA Expected SARSA Q-learning Double Q-learning TD(λ) Deep Q-learning Maybe I currently have access to significant compute resources , so I’m planning to run thousands of seeds and millions of episodes to produce statistically strong convergence curves. The goal is to clearly visualize differences in: convergence speed, stability / variance across runs Most toy environments (CliffWalking, […]

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Large language models (LLMs) have transformed how we interact with AI, but one size doesn’t fit at all. Out-of-the-box LLMs are trained with broad, general knowledge and improved for a wide range of use cases, but they often fall short when it comes to domain-specific tasks, proprietary workflows, or unique business requirements. Enterprise customers increasingly need specialized LLMs that deeply understand their proprietary data, business processes, and domain-specific terminology. Without customization, you’re forced to choose between accepting generic […]

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arXiv:2602.00956v1 Announce Type: new Abstract: Early and accurate diagnosis of Alzheimer’s disease (AD) remains a critical challenge in neuroimaging-based clinical decision support systems. In this work, we propose a novel hybrid deep learning framework that integrates Topological Data Analysis (TDA) with a DenseNet121 backbone for four-class Alzheimer’s disease classification using structural MRI data from the OASIS dataset. TDA is employed to capture complementary topological characteristics of brain structures that are often overlooked by conventional neural networks, while DenseNet121 […]

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