digitado

I. The Push America did not misplace Anthropic. It pushed it. For years the relationship looked like a success story. Anthropic was the first major AI lab cleared to handle classified material. Pentagon contracts, intelligence community access, armed services integration. Claude was, and remains, the only AI model approved for use on Pentagon classified networks. That is not a small thing. Then it refused two things. No autonomous weapons. No mass domestic surveillance. Prior administrations had disagreed and […]

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We present Color-in-Context, a dataset of 12,086 photographs annotated along two complementary dimensions: color (Black, Blue, Gray, Orange, Pink, Purple, Skyblue, White, Yellow) and illumination (fluorescentLight, indoor, indoorNight, sunLight). The dataset is organized into 36 joint categories (9 colors × 4 illumination conditions) using a consistent folder hierarchy and normalized labels. We provide summary counts across colors, illuminations, and selected joint buckets, and an optional manifest file to support deterministic indexing and integrity checking. This Data Descriptor documents […]

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The contemporary education landscape is often marred by escalating costs and centralized pedagogical structures, which collectively create significant barriers to entry for millions of potential learners worldwide. This paper presents textbf{Skill Link}, a sophisticated decentralized platform designed to democratize skill acquisition through a specialized credit-based barter system. Unlike conventional e-learning platforms that rely on traditional currency transactions, Skill Link enables a frictionless exchange of knowledge by utilizing a virtual credit economy where participants earn and spend “learning credits.” […]

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Heterogeneity in time series data is more pronounced than in vision or language, as temporal dynamics vary substantially across domains and tasks. Existing efforts on training time series foundation models (TSFMs) from scratch are often trained with mixed-batch strategies that merge large-scale datasets, which can cause gradient conflicts and degrade representation quality. To address this, we propose a fine-grained learning method that distills invariant knowledge from heterogeneous series while reducing cross-domain interference. We characterize heterogeneity at two levels: […]

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Miami, Florida, April 7th, 2026, Chainwire/–MetaWin confirms more than $13 million in player rewards across Cashdrops, competitions, races and exclusive member benefits Online casino MetaWin has announced that it will return more than $13 million to players through its ongoing loyalty rewards program, as a show of appreciation for the loyalty and support of the community that has helped build the platform over time. The program includes direct Cashdrops, weekly competitions, monthly races and NFT holder-only benefits, and […]

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For decades, artificial intelligence transformed digital domains while the physical world, with its unforgiving dynamics and infinite variability, remained largely beyond reach. That boundary is now dissolving: humanoid robots work full shifts on assembly lines, autonomous vehicles make millions of safety-critical decisions daily, and robotic surgical platforms have performed over twenty million procedures worldwide. The convergence of foundation models, high-fidelity simulation, and embodied control is producing Physical AI, machines that perceive, reason, and act reliably in open environments. […]

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Mobile Edge Computing (MEC) offers significant advantages in enhancing user experience and reducing energy consumption by offloading tasks to proximate edge servers. However, MEC systems are inherently complex, facing highly dynamic environments with fluctuating channel conditions and server loads, coupled with the necessity to optimize multiple conflicting objectives such as latency and energy consumption. Furthermore, existing offloading strategies often lack robustness against inherent uncertainties, leading to performance degradation in unpredictable scenarios. To address these critical challenges, this paper […]

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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. ## Pretext Does What CSS Can’t — Measuring Text Before the DOM Even Exists By @typesetting [ 8 Min read ] Cheng Lou’s Pretext library measures multiline text height without touching the DOM — unlocking layout capabilities CSS has never been able to offer. Read […]

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Crime pattern analysis is critical for law enforcement and predictive policing, yet the surge in criminal activities from rapid urbanization creates high-dimensional, imbalanced datasets that challenge traditional classification methods. This study presents a quantum-classical comparison framework for crime analytics, evaluating four computational paradigms: quantum models, classical baseline machine learning models, and two hybrid quantum-classical architectures. Using 16-year Bangladesh crime statistics, we systematically assess classification performance and computational efficiency under rigorous cross-validation methods. Experimental results show that quantum-inspired approaches, […]

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Replacing gaze annotations with language-driven attention masking makes robot perception annotation-free and up to 5x faster at inference. Picture a robot arm sitting across a table from you. You say: “Put the black bowl in the drawer.” The arm moves. But not toward the bowl. It hovers. It hesitates. Then it grabs the wrong thing. From the outside this looks like a minor coordination failure. From the inside, it is a fundamental problem with how the robot perceives […]

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