Detecting signs of hypertension using wearable sensors
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Health & Bioscience
OpenAI’s new data center plans put transparency front and center, including a pledge against mandatory NDAs for public officials. The test is how those commitments work in local agreements.
The most important artificial intelligence and machine learning news and articles
Configuration-driven reporting: one semantic model, one metric catalog, and a few lines of configuration per audience The post How to Report for 100+ Clients With One Semantic Model appeared first on Towards Data…
Enormous vulnerability counts look alarming. But AI is helping defenders expose and repair weaknesses that were already there and giving them a head start is worth some patience.
We trained one model on methane. Without retraining, it also maps carbon monoxide, ammonia and nitrogen dioxide plumes, including the first automated CO detections from NASA’s EMIT. The post How We Built NASA's…
The internet of the future will look much different than the one today. Businesses are already transitioning. The post How GEO, WebMCP, and Bot Paywalls Are Building the AI-Native Internet appeared first on Towards Data…
A tiny GPT memorized every fact I gave it, then couldn’t answer a single question that needed two of them. I tested the one-line fix from a recent paper, and it only half worked. The post Why a Tiny GPT Can Know Two…
Claude helped Anthropic researchers investigate a 40-year-old cell mystery and cut a three-day lab process to 90 minutes. Its mistakes also delayed the project, raising questions about AI's reliability in scientific…
ChatGPT can now create animated GIFs from prompts or photos. I tried the workflow with a strawberry-wearing cat and checked what happened between the still image and the finished loop.
arXiv:2611.05392v1 Announce Type: cross Abstract: Agentic artificial intelligence (AI) systems powered by large language models (LLMs) execute as autonomous multi-step pipelines that dynamically invoke tools, integrate…
arXiv:2611.05835v1 Announce Type: new Abstract: Firms using large language models under fixed budgets must decide which model to call and whether to retry a failed task. Because a call's charge is revealed only after…
arXiv:2611.04667v2 Announce Type: replace Abstract: Federated Learning (FL) enables collaborative training of machine learning models across distributed clients while preserving data privacy. In practical deployments,…
arXiv:2608.06004v2 Announce Type: replace Abstract: Tabular Foundation Models (TFMs) are the state of the art for many tabular prediction tasks. They are transformers that approximate the Bayesian posterior predictive…
arXiv:2611.05601v1 Announce Type: new Abstract: A deep RL agent trained on a fixed persona reward plays one way: an Explorer keeps exploring while starving, a Survivor hoards on an empty map. Since each persona fixes…
arXiv:2511.14581v3 Announce Type: replace-cross Abstract: Machine learning approaches to subgrid-scale (SGS) modeling are now well established in atmospheric and oceanic applications. Among these, online end-to-end…
arXiv:2608.26516v2 Announce Type: replace Abstract: Two of the most fundamental questions in statistical learning theory are the following: which prediction problems are learnable, and how should they be learned? For…
arXiv:2606.26421v2 Announce Type: replace Abstract: State-of-the-art medium-range AI weather models can outperform traditional Numerical Weather Prediction (NWP) but require massive training budgets. This restricts…
arXiv:2610.35658v2 Announce Type: replace Abstract: Aviation authorities hold decades of accident reports whose narratives record how investigators reconstructed each accident. Computational work on these archives has…
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