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. What a gift to society this is. If not for google trends, how would we have ever known that more Disney movies released in the 2000s led to fewer divorces in the UK. Or that drinking Coca Cola is an unknown remedy for cat scratches. Wait, am I getting confused by correlation vs causation again? If you prefer watching over reading, …

Introduction calendar-based Time Intelligence, the need for custom Time Intelligence logic has decreased dramatically. Now, we can create custom calendars to meet our Time Intelligence calculation needs. You might have read my article about advanced Time Intelligence: https://towardsdatascience.com/advanced-time-intelligence-in-dax-with-performance-in-mind/ Most of the custom logic is no longer needed. But we still have scenarios where we must have custom calculations, like running …

In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science and AI, their writing, and their sources of inspiration. Today, we’re thrilled to share our conversation with Marco Hening Tallarico. Marco is a graduate student at the University of Toronto and a researcher for Risklab, with a deep interest in …

Salesforce on Tuesday launched an entirely rebuilt version of Slackbot, the company’s workplace assistant, transforming it from a simple notification tool into what executives describe as a fully powered AI agent capable of searching enterprise data, drafting documents, and taking action on behalf of employees. The new Slackbot, now generally available to Business+ and Enterprise+ customers, is Salesforce’s most aggressive …

Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg’s $100 million offers seemed impossible. So he spent $5,000 — a fifth of his marketing budget — on a billboard in San Francisco displaying what looked like gibberish: five strings of random numbers. The numbers were actually AI …

[Submitted on 24 Oct 2025 (v1), last revised 14 Jan 2026 (this version, v2)] View a PDF of the paper titled Deep Jump Gaussian Processes for Surrogate Modeling of High-Dimensional Piecewise Continuous Functions, by Yang Xu and Chiwoo Park View PDF HTML (experimental) Abstract:We introduce Deep Jump Gaussian Processes (DJGP), a novel method for surrogate modeling of a piecewise continuous …

[Submitted on 22 Mar 2023 (v1), last revised 14 Jan 2026 (this version, v2)] View a PDF of the paper titled Reinforcement Learning with Exogenous States and Rewards, by George Trimponias and Thomas G. Dietterich View PDF HTML (experimental) Abstract:Exogenous state variables and rewards can slow reinforcement learning by injecting uncontrolled variation into the reward signal. This paper formalizes exogenous …

arXiv:2601.07944v1 Announce Type: new Abstract: Since the turn of the century, approximate Bayesian inference has steadily evolved as new computational techniques have been incorporated to handle increasingly complex and large-scale predictive problems. The recent success of deep neural networks and foundation models has now given rise to a new paradigm in statistical modeling, in which Bayesian inference can be amortized …

at the beginning of 2026, AWS has several related yet distinct components that make up its agentic and LLM abstractions. Bedrock is the model layer that enables access to large language models. Agents for Bedrock is the managed application layer. In other words, AWS runs the agents for you based on your requirements. Bedrock AgentCore is an infrastructure layer that …

[Submitted on 22 Sep 2024 (v1), last revised 9 Jan 2026 (this version, v4)] View a PDF of the paper titled Explainable AI needs formalization, by Stefan Haufe and 6 other authors View PDF HTML (experimental) Abstract:The field of “explainable artificial intelligence” (XAI) seemingly addresses the desire that decisions of machine learning systems should be human-understandable. However, in its current …