How to overturn three judge-created doctrines
And reestablish justice The post How to overturn three judge-created doctrines appeared first on Downsize DC.
And reestablish justice The post How to overturn three judge-created doctrines appeared first on Downsize DC.
Disney and OpenAI have reached an agreement to bring more than 200 Disney, Marvel, Pixar and Star Wars characters to Sora for fan-inspired short videos. The agreement emphasizes responsible AI in entertainment and includes Disney’s company-wide use of ChatGPT Enterprise and the OpenAI API.
Today, we are celebrating the extraordinary impact of Nobel Prize-winner Geoffrey Hinton by investing in the future of the field he helped build. Google is proud to supp…
Selling “The Big Lies” helps Hollywood to keep alive the fantasy that the Left is the victim rather than the perpetrator of injustice.
Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 25th year, is now accepting applications worldwide. It focuses on supporting students working in AI, machine learning, autonomous vehicles, computer graphics, robotics, healthcare, high-performance […]
Pixi makes python environment management simple, consistent, and portable.
Discover five free tools that let you run and test large language models directly in your browser without any setup.
GPT-5.2 is the latest model family in the GPT-5 series. The comprehensive safety mitigation approach for these models is largely the same as that described in the GPT-5 System Card and GPT-5.1 System Card. Like OpenAI’s other models, the GPT-5.2 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.
DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point. It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel. But because it relies on one fixed radius, HDBSCAN is needed to make the method robust on real data. The post The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel appeared first on Towards Data Science.
How I keep up with papers with a mix of manual and AI-assisted reading The post Reading Research Papers in the Age of LLMs appeared first on Towards Data Science.