Every story across every category, newest first. Each card links to the original publisher; daily-brief posts open as editorial pages.
RT X FreezeSpaceX just launched 2 Falcon 9 rockets in 10 hoursFalcon 9 lifted off from California and delivered 24 more Starlink satellites to orbitThen another…
Article URL: https://www.outsideonline.com/health/wellness/sunscreen-sun-exposure-skin-cancer-science/ Comments URL: https://news.ycombinator.com/item?id=48715020 Points: 45 # Comments: 37
Even though I made this graph, it is also kind of wrong. Fable is guardrailed Mythos. If we use the Mythos dateEthan Mollick: I took the…
Large language models (LLMs) can make scientific software easier to use. However, a general model does not automatically know which measurements a particular sensor can support,…
Article URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6298838 Comments URL: https://news.ycombinator.com/item?id=48714919 Points: 5 # Comments: 0
RT jietangAny new features we must have in the next version of glm?
Has anyone actually received final acceptance following their provisional acceptance email from ECCV 2026? I am very confused. Thank you so much. submitted by /u/Land_Heavy [link]…
Article URL: https://github.com/itsthelore/rac-core Comments URL: https://news.ycombinator.com/item?id=48714880 Points: 7 # Comments: 0
Article URL: https://github.com/ogulcancelik/herdr Comments URL: https://news.ycombinator.com/item?id=48714802 Points: 13 # Comments: 0
Yesterday I posted an idea for testing whether a large model can transfer some of its procedural skill to a smaller model without fine-tuning. The short…
We study whether we can learn novel manipulation skills from human actions to a bi-manual robot with parallel grippers. Human action data is cheap, abundant, and…
Knowledge-based Visual Question Answering (KB-VQA) requires models to combine image understanding with external knowledge. Most prior methods use a fixed retrieve-then-generate pipeline with a pre-selected retriever…
arXiv:2509.01924v4 Announce Type: replace Abstract: Agricultural decision-making faces a dual challenge: sustaining high yields to meet global food security needs while reducing the environmental impacts of…
arXiv:2503.13051v3 Announce Type: replace-cross Abstract: Sorting and permutation learning are key concepts in optimization and machine learning, especially when organizing high-dimensional data into meaningful spatial layouts.…
arXiv:2506.13139v3 Announce Type: replace Abstract: Modern Machine Learning (ML) and Deep Neural Networks (DNNs) often operate on high-dimensional data and rely on overparameterized models, where classical…
arXiv:2501.07400v2 Announce Type: replace-cross Abstract: We derive explicit equations governing the cumulative biases and weights in Deep Learning with ReLU activation function, based on gradient descent…
arXiv:2502.00168v5 Announce Type: replace Abstract: Supervised dimensionality reduction maps labeled data into a low-dimensional feature space while preserving class separation. A common strategy is to learn…
arXiv:2402.11736v3 Announce Type: replace-cross Abstract: Kernel herding belongs to a family of deterministic quadratures that seek to minimize the maximum mean discrepancy (MMD), that is, the…
arXiv:2412.20802v3 Announce Type: replace Abstract: Recommender systems are widely used in the digital landscape to match users with content fitting their preferences. However, growing concerns about…
arXiv:2606.11865v2 Announce Type: replace Abstract: Conformal Bayes combines Bayesian posterior predictives with conformal calibration to produce prediction sets that are both statistically valid and geometrically efficient.…
arXiv:2606.28301v1 Announce Type: cross Abstract: Inference-time scaling is a promising paradigm to improve generative models, especially when outputs must satisfy structural constraints or optimize downstream rewards.…
arXiv:2606.27462v1 Announce Type: new Abstract: The global minimum-variance portfolio (GMVP) is the canonical decision built from an estimated covariance matrix, yet covariance estimators are universally evaluated…
arXiv:2606.27685v1 Announce Type: new Abstract: Pervasive data contamination -- stemming from measurement errors, outliers, or adversarial corruption -- has motivated the development of robust statistical methods.…
arXiv:2606.27954v1 Announce Type: new Abstract: Score-based generative models and Langevin samplers rely on estimating the score function $nabla_xlog p_t(x)$ of a forward diffusion. Classically this is…