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Google has added TabFM, a pre-trained foundation model for tabular data, to BigQuery in preview, enabling enterprise teams to generate classification and regression predictions from structured data without training or de…
A developer has compiled a list of 20 prompts for using large language models (LLMs) in data science tasks, covering model training, hyperparameter tuning, time series forecasting, handling imbalanced data, feature impor…
Organizations are adopting mathematical optimization, a prescriptive AI subfield, to make complex operational decisions that human intuition and machine learning alone cannot reliably solve. The AWS Generative AI Innovat…
Mimesis, an open-source data generation library, can be used to create balanced, counterfactual datasets for auditing bias in machine learning models. A hands-on guide demonstrates training a loan approval classifier on …
Shuchen Xue, a researcher specializing in artificial intelligence and machine learning with a focus on generative AI, has published work accessible via Google Scholar. Her research contributes to advancements in AI and m…
Gusto is hiring a Software Engineer for its ML Platform team in Denver, New York, or San Francisco, offering a salary of $160k–200k/yr. The role involves building and scaling MLOps infrastructure, with a focus on AI-assi…
A new collection in PLOS Computational Biology, introduced by Alber, Smith, Laubenbacher, and Merks on June 4, 2026, surveys the use of digital twins and multi-scale modeling in predictive biology and medicine. The autho…
A mentor with over three years of experience and more than a thousand sessions with data science students outlines three distinct career pathways in AI: Builder (engineering and deployment), Innovator (research and scien…
AI agents are reshaping data science workflows by automating routine tasks like exploratory data analysis and machine learning pipeline iteration, executing multi-step processes without human intervention. The shift dema…
Researchers Ilyas, Santurkar, Tsipras, Engstrom, Tran and Madry published a 2019 paper arguing that adversarial examples are not bugs but features of machine learning models, challenging the prevailing view that such per…
NBCUniversal achieved a 30% reduction in data infrastructure costs and onboarded over 300 analysts onto Databricks SQL after migrating to the Databricks Data Intelligence Platform, according to a blog post by NBCUniversa…
AI customer service systems, which use natural language processing, machine learning, and generative AI, can automate over 70% of customer queries and reduce inbound call handling time by 38% for mature adopters, accordi…
Amazon Web Services (AWS) published the first part of a three-part tutorial series on building a no-code machine learning workflow using Snowflake, Amazon SageMaker Canvas, and Amazon QuickSight, focusing on setting up a…
Hugging Face released ML Intern, an open-source CLI agent that automates machine learning tasks such as fine-tuning models, exploring research papers, and launching GPU training jobs. The tool uses the Hugging Face stack…
Dartmouth hosted the first international academic conference on artificial intelligence in glaciology, bringing together over 60 scientists to discuss how AI can accelerate analysis of vast datasets from satellite imager…
Databricks has been positioned as a Leader in the Gartner Magic Quadrant for AI Platforms for Data Science and Machine Learning for the second consecutive year, achieving the highest placement in execution and furthest i…
Bloomreach hosted a breakfast for fintech marketers where attendees consistently identified disorganized, fragmented customer data as their primary obstacle to using AI, not model selection or feature adoption. The event…
A machine-learning model that estimates 'brain age' from sleep EEG recordings can flag dementia risk years before memory symptoms appear, according to a study led by UC San Francisco and Beth Israel Deaconess Medical Cen…
Researchers at Hiroshima University and Nagoya University developed a machine learning tool called SPERRFY that decoded how gene activity patterns guide neural wiring across the mouse brain. The study, published in PNAS,…
A developer published Rosetta M, a mock-up of a proposed APL2-tradition array language for machine learning, at sw-ml-study.github.io/m-poc, rendering ten small computations as "stones" with four faces each: the mathemat…