Many applied problems contain signal that becomes clear only after combining multiple raw measurements. Ratios and rates are common examples. In gradient boosted trees, this combination is not an explicit operation: the model must synthesize it through coordinated splits on the component features. We study whether intra-tree column subsampling in XGBoost makes that synthesis harder. We use two synthetic data generating processes with cancellation-style structure. In both, two primitive features share a strong nuisance factor, while the target […]

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Limited access to medical infrastructure forces elderly and vulnerable patients to rely on home-based care, often leading to neglect and poor adherence to therapeutic exercises such as yoga or physiotherapy. To address this gap, we propose a low-cost and automated human activity recognition (HAR) framework based on wearable inertial sensors and machine learning. Activity data, including walking, walking upstairs, walking downstairs, sitting, standing, and lying, were collected using accelerometer and gyroscope measurements. Four classical classifiers, Logistic Regression, Random […]

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Separating the contributions of individual chromogenic stains in RGB histology whole slide images (WSIs) is essential for stain normalization, quantitative assessment of marker expression, and cell-level readouts in immunohistochemistry (IHC). Classical Beer-Lambert (BL) color deconvolution is well-established for two- or three-stain settings, but becomes under-determined and unstable for multiplex IHC (mIHC) with K>3 chromogens. We present a simple, data-driven encoder-decoder architecture that learns cohort-specific stain characteristics for mIHC RGB WSIs and yields crisp, well-separated per-stain concentration maps. The […]

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What a month! We had four major open LLM releases: Mixtral, Meta AI’s Llama 3, Microsoft’s Phi-3, and Apple’s OpenELM. In my new article, I review and discuss all four of these major transformer-based LLM model releases, followed by new research on reinforcement learning with human feedback methods for instruction finetuning using PPO and DPO algorithms.

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Victoria, Seychelles, January 23, 2026 – MEXC, the world’s fastest-growing digital asset exchange and a pioneer of true zero-fee trading, successfully concluded its “Zero-Fee Gala,” attracting over 120,000 participants and generating more than $8 billion in futures trading volume. The enthusiastic participation demonstrates strong user interest in the event and deepening trust in MEXC’s commitment to creating meaningful value for its global trading community. The promotion ran from December 22, 2025, to January 21, 2026 (UTC), combining multiple […]

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arXiv:2601.22196v1 Announce Type: new Abstract: In 2024, the Linux kernel became its own Common Vulnerabilities and Exposures (CVE) Numbering Authority (CNA), formalizing how kernel vulnerabilities are identified and tracked. We analyze the anatomy and dynamics of kernel CVEs using metadata, associated commits, and patch latency to understand what drives patching. Results show that severity and Common Vulnerability Scoring System (CVSS) metrics have a negligible association with patch latency, whereas kernel recency is a reasonable predictor in survival models. […]

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arXiv:2601.18934v1 Announce Type: new Abstract: Across cultures, water has served as a recipient of human confession, a yielding medium that receives vulnerability where rigid surfaces cannot. We present Whispering Water, an interactive installation that materializes human-AI dialogue through cymatic patterns on water. Participants confess secrets to a water surface, triggering a four-phase ritual: confession, contemplation, response, and release. The user’s speech sentiment is directly transmitted into the water to prime its state, while semantic content enters a multi-agent […]

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Google Research has expanded its Health AI Developer Foundations program (HAI-DEF) with the release of MedGemma-1.5. The model is released as open starting points for developers who want to build medical imaging, text and speech systems and then adapt them to local workflows and regulations. https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/ MedGemma 1.5, small multimodal model for real clinical data MedGemma is a family of medical generative models built on Gemma. The new release, MedGemma-1.5-4B, targets developers who need a compact model that […]

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arXiv:2601.13519v2 Announce Type: replace Abstract: This paper introduces a new problem-dependent regret measure for online convex optimization with smooth losses. The notion, which we call the $G^star$ regret, depends on the cumulative squared gradient norm evaluated at the decision in hindsight $sum_{t=1}^T |nabla ell(x^star)|^2$. We show that the $G^star$ regret strictly refines the existing $L^star$ (small loss) regret, and that it can be arbitrarily sharper when the losses have vanishing curvature around the hindsight decision. We establish upper […]

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