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Tag: new

  • Donkeys, Not Unicorns

    Donkeys, Not Unicorns The New Rules of Entrepreneurship in the Era of Commoditized Magic The post Donkeys, Not Unicorns appeared first on Towards Data Science. Yariv Adan Go to original source

  • How to Implement Three Use Cases for the New Calendar-Based Time Intelligence

    How to Implement Three Use Cases for the New Calendar-Based Time Intelligence Starting with the September 2025 Release of Power BI, Microsoft introduced the new Calendar-based Time Intelligence feature. Let’s see what can be done by implementing three use cases. The future looks very interesting with this new feature. The post How to Implement Three…

  • A new class of Markov random fields enabling lightweight sampling

    A new class of Markov random fields enabling lightweight sampling arXiv:2511.02373v1 Announce Type: new Abstract: This work addresses the problem of efficient sampling of Markov random fields (MRF). The sampling of Potts or Ising MRF is most often based on Gibbs sampling, and is thus computationally expensive. We consider in this work how to circumvent…

  • The Great Stay — Here’s the New Reality for Tech Workers

    The Great Stay — Here’s the New Reality for Tech Workers Do you think you’re part of this new phenomenon called The Great Stay? submitted by /u/KitchenTaste7229 [link] [comments] /u/KitchenTaste7229 Go to original source

  • Conformal Inference for Open-Set and Imbalanced Classification

    Conformal Inference for Open-Set and Imbalanced Classification arXiv:2510.13037v1 Announce Type: new Abstract: This paper presents a conformal prediction method for classification in highly imbalanced and open-set settings, where there are many possible classes and not all may be represented in the data. Existing approaches require a finite, known label space and typically involve random sample…

  • A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels

    A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels arXiv:2510.01840v1 Announce Type: new Abstract: Designing categorical kernels is a major challenge for Gaussian process regression with continuous and categorical inputs. Despite previous studies, it is difficult to identify a preferred method, either because the evaluation metrics, the optimization…

  • The Generalist: The New All-Around Type of Data Professional?

    The Generalist: The New All-Around Type of Data Professional? Is over-specialization ending and are data generalists on the rise? The post The Generalist: The New All-Around Type of Data Professional? appeared first on Towards Data Science. Loizos Loizou Go to original source

  • Dijkstra defeated: New Shortest Path Algorithm revealed

    Dijkstra defeated: New Shortest Path Algorithm revealed Dijkstra, the goto shortest path algorithm (time complexity nlogn) has now been outperformed by a new algorithm by top Chinese University which looks like a hybrid of bellman ford+ dijsktra algorithm. Paper : https://arxiv.org/abs/2504.17033 Algorithm explained with example : https://youtu.be/rXFtoXzZTF8?si=OiB6luMslndUbTrz submitted by /u/Technical-Love-8479 [link] [comments] /u/Technical-Love-8479 Go to…

  • On Experiments

    On Experiments arXiv:2508.08288v1 Announce Type: new Abstract: The scientific process is a means for turning the results of experiments into knowledge about the world in which we live. Much research effort has been directed toward automating this process. To do this, one needs to formulate the scientific process in a precise mathematical language. This paper…

  • New to LLMs? Start Here 

    New to LLMs? Start Here  A guide to Agents, LLMs, RAG, Fine-tuning, LangChain with practical examples to start building The post New to LLMs? Start Here  appeared first on Towards Data Science. ALESSANDRA COSTA Go to original source

  • Google’s New AI System Outperforms Physicians in Complex Diagnoses

    Google’s New AI System Outperforms Physicians in Complex Diagnoses Imagine going to the doctor with a baffling set of symptoms. Getting the right diagnosis quickly is crucial, but sometimes even experienced physicians face challenges piecing together the puzzle. Sometimes it might not be something serious at all; others a deep investigation might be required. No…

  • New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Composition

    New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Composition arXiv:2502.14060v1 Announce Type: new Abstract: We study fundamental limits of first-order stochastic optimization in a range of nonconvex settings, including L-smooth functions satisfying Quasar-Convexity (QC), Quadratic Growth (QG), and Restricted Secant Inequalities (RSI). While the convergence properties of standard algorithms are well-understood in deterministic regimes,…

  • What I’m Updating in My AI Ethics Class for 2025

    What I’m Updating in My AI Ethics Class for 2025 What happened in 2024 that is new and significant in the world of AI ethics? The new technology developments have come in fast, but what has ethical or values implications that are going to matter long-term? I’ve been working on updates for my 2025 class…

  • Generative Modeling with Diffusion

    Generative Modeling with Diffusion arXiv:2412.10948v1 Announce Type: new Abstract: We introduce the diffusion model as a method to generate new samples. Generative models have been recently adopted for tasks such as art generation (Stable Diffusion, Dall-E) and text generation (ChatGPT). Diffusion models in particular apply noise to sample data and then “reverse” this noising process…

  • The Lead, Shadow, and Sparring Roles in New Data Settings

    The Lead, Shadow, and Sparring Roles in New Data Settings From data engineer to domain expert—what it takes to build a new data platform Continue reading on Towards Data Science » Marina Tosic Go to original source