Why Retrieval Helps in Time Series Forecasting We all know how it goes: Time-series data is tricky. Traditional forecasting models are unprepared for incidents like sudden market crashes, black swan events, or rare weather patterns. Even large fancy models like Chronos sometimes struggle because they haven’t dealt with that kind of pattern before. We can […] The post Retrieval for Time-Series: How Looking Back Improves Forecasts appeared first on Towards Data Science.

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This article is devoted to constructing of fractional powers of operators and their matrix approximations. A key feature of this study is the use of a spectral approach that remains applicable even when the base operator does not generate a semigroup. Our main results include the convergence rate of matrix approximation, derived from resolvent estimates, and a practical algorithm for constructing matrix approximations. The theory is supported by examples.

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District Judge Yvonne Gonzalez Rogers said there was evidence suggesting OpenAI’s leaders made assurances that its original nonprofit structure would be maintained. The case will go to trial in March.

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arXiv:2601.01029v1 Announce Type: new Abstract: This paper develops a practical framework for using observational data to audit the consumer surplus effects of AI-driven decisions, specifically in targeted pricing and algorithmic lending. Traditional approaches first estimate demand functions and then integrate to compute consumer surplus, but these methods can be challenging to implement in practice due to model misspecification in parametric demand forms and the large data requirements and slow convergence of flexible nonparametric or machine learning approaches. Instead, […]

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Towards understanding if your agentic solution is actually better The post Agents Under the Curve (AUC) appeared first on Towards Data Science.

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Misdeclared hazardous cargo inside sealed maritime containers continues to drive ship fires, port disruptions, and avoidable losses for crews, carriers, and coastal communities. Ports and carriers already use non-intrusive inspection (NII) imaging and document checks, but these systems are often treated as separate queues rather than a single integrated decision system. This paper proposes a practical multimodal framework that fuses radiographic sensing with shipping document intelligence to flag hazardous misdeclaration risks without opening a container. The approach combines […]

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In this edition of our Haskell in Production series, we feature NoRedInk – an EdTech product that helps students become better writers through its online, adaptive writing curriculum. The questions in the article were answered collaboratively by four representatives of NoRedInk – Blake Thomas, Christoph Hermann, Richard Feldmann, and Juliano Solanho. Read further to learn more about how they use Haskell at NoRedInk, why they decided to adopt it, and what is their approach to trying out new […]

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With reports that the ChatGPT owner OpenAI is eyeing an initial public offering (IPO) in the second half of 2026, in what could be the largest debut of all time, it’s worth looking at what the artificial intelligence leader could bring to Wall Street. Although CEO Sam Altman has remained noncommittal when it comes to unveiling his intentions towards going public this year, there have been reports that OpenAI could look to debut at a valuation of $1 […]

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