Jetpack Compose doesn’t “leak by default.” Most Compose leaks are plain old Kotlin reference leaks where something long-lived (a ViewModel, singleton, registry, static object, app scope coroutine) ends up holding a reference to something UI-scoped (an Activity Context, a composable lambda, a CoroutineScope, a remembered object). If you internalize one idea, make it this: Leaks happen when composition-scoped references escape into longer-lived holders. 0) The mental model you debug with Composition = runtime tree of nodes backing your […]

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Realizing versatile and human-like performance in high-demand sports like badminton remains a formidable challenge for humanoid robotics. Unlike standard locomotion or static manipulation, this task demands a seamless integration of explosive whole-body coordination and precise, timing-critical interception. While recent advances have achieved lifelike motion mimicry, bridging the gap between kinematic imitation and functional, physics-aware striking without compromising stylistic naturalness is non-trivial. To address this, we propose Imitation-to-Interaction, a progressive reinforcement learning framework designed to evolve a robot from […]

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arXiv:2601.10630v1 Announce Type: new Abstract: Classification imbalance arises when one class is much rarer than the other. We frame this setting as transfer learning under label (prior) shift between an imbalanced source distribution induced by the observed data and a balanced target distribution under which performance is evaluated. Within this framework, we study a family of oversampling procedures that augment the training data by generating synthetic samples from an estimated minority-class distribution to roughly balance the classes, among […]

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arXiv:2601.00020v2 Announce Type: new Abstract: Electroencephalography (EEG)-based brain-computer interfaces (BCIs) are strongly affected by non-stationary neural signals that vary across sessions and individuals, limiting the generalization of subject-agnostic models and motivating adaptive and personalized learning on resource-constrained platforms. Programmable memristive hardware offers a promising substrate for such post-deployment adaptation; however, practical realization is challenged by limited weight resolution, device variability, nonlinear programming dynamics, and finite device endurance. In this work, we show that spiking neural networks (SNNs) can […]

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arXiv:2602.15249v1 Announce Type: new Abstract: This study examines the geographical distribution of Artificial Intelligence (AI) research production across European regions at the NUTS-3 level for the period 2015-2024. Using bibliometric data from Clarivate InCites and the Citation Topics classification system, we analyze two hierarchical levels of thematic aggregation: Electrical Engineering, Electronics & Computer Science (Macro Citation Topic 4) and Artificial Intelligence & Machine Learning (Meso Citation Topic 4.61). We calculate the Relative Specialization Index (RSI) and Relative Citation […]

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arXiv:2601.03386v1 Announce Type: new Abstract: Unmanned aerial vehicle (UAV) with slung load system is a classic air transportation system. In practical applications, the suspension point of the slung load does not always align with the center of mass (CoM) of the UAV due to mission requirements or mechanical interference. This offset creates coupling in the system’s nonlinear dynamics which leads to a complicated motion control problem. In existing research, modeling of the system are performed about the UAV’s […]

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arXiv:2601.22362v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed in production, contributing towards shifting the burden in terms of computational resources and energy demands from training to inference. While prior work has examined the energy cost of inference per prompt or per token, we highlight how emph{system-level design choices} – such as numerical precision, batching strategy, and request scheduling – can lead to orders-of-magnitude differences in energy consumption for the same model. We perform a […]

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Processing images to generate text, such as image captioning and visual question-answering, has been studied for years. Traditionally such systems rely on an object detection network as a vision encoder to capture visual features and then produce text via a text decoder. Given a large amount of existing literature, in this post, I would like to only focus on one approach for solving vision language tasks, which is to extend pre-trained generalized language models to be capable of […]

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The creator economy is evolving fast, and ad revenue alone isn’t cutting it anymore. YouTubers are launching product lines, acquiring startups, and building actual business empires. In fact, MrBeast’s company bought fintech startup Step, and his chocolate business is outearning his media arm. This isn’t just one creator’s strategy. For many, it’s the new playbook.  On this episode of TechCrunch’s Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Rebecca Bellan unpack how creators are diversifying beyond ads, […]

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