The Joy of Typing
A practical guide to modern type annotations in Python for data science The post The Joy of Typing appeared first on Towards Data Science.
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Jamillah Knowles & Digit / Pink Office / Licenced by CC-BY 4.0 Yolanda Gil is a professor at the University of Southern California, where she also serves as Senior Director for major strategic AI and data science initiatives. From 2018 – 2020, she was president of AAAI. In her invited talk at AAAI 2026, she […]
Read full articleA practical guide to modern type annotations in Python for data science The post The Joy of Typing appeared first on Towards Data Science.
The latest interview in our series with the AAAI/SIGAI Doctoral Consortium participants features Ximing Wen who is researching transparent and trustworthy AI systems. We found out more about her work, her experience as a research intern, and what inspired her to study AI. Tell us a bit about your PhD – where are you studying, […]
The University of Southern California will put one of the largest donations in its history toward applying AI in fields where the university already has strengths, including film and the arts.
The University of Southern California wants to integrate artificial intelligence into fields like health care and the arts. Other universities are also using donations to focus more on A.I.
This article uncovers the craftsmanship of using robust statistics in data science processes: illustrating what to do when data fail tests due to not meeting standard assumptions.
April 28, 2026 — The University of California San Diego has established the Halıcıoğlu School of Data Science and Computing thanks to $125 million in support from alumnus Taner Halıcıoğlu. […] The post UC San Diego Receives $125M from Taner Halıcıoğlu to Support Data Science School appeared first on AIwire.
Sabrine Bendimerad on why flexibility is a crucial data science skill, the risks of outsourcing human thinking to AI agents, and the changing terrain of career paths today. The post A Career in Data Is Not Always a Straight Line, and That’s Okay appeared first on Towards Data Science.
The latest interview in our series with the AAAI/SIGAI Doctoral Consortium participants features Deepika Vemuri who is working on interpretability and concept-based learning. We found out more about the two aspects of concept-based models that she’s been researching. Could you tell us a bit about your PhD – where are you studying, and what is […]