Disney hits Google with cease-and-desist claiming ‘massive’ copyright infringement
Disney is accusing the tech giant of unauthorized distribution of its copyrighted characters without permission via Gemini AI.
Disney is accusing the tech giant of unauthorized distribution of its copyrighted characters without permission via Gemini AI.
In Day 6, we saw how a Decision Tree Regressor finds its optimal split by minimizing the Mean Squared Error. Today, for Day 7 of the Machine Learning “Advent Calendar”, we switch to classification. With just one numerical feature and two classes, we explore how a Decision Tree Classifier decides where to cut the data, using impurity measures like Gini and Entropy. Even without doing the math, we can visually guess possible split points. But which one is […]
If you ever wanted a Google Translate update, the company is finally making your wish come true. The company today announced what is probably the biggest Translate upgrade in years. As part of this update, Google is integrating Gemini right into the heart of Google Translate across Search and the mobile app. What’s interesting is that Google is promising translations that understand what you meant, not just the words you typed. Google announces natural, accurate text translation in […]
This one little trick can bring about enhanced training stability, the use of larger learning rates and improved scaling properties The post NeurIPS 2025 Best Paper Review: Qwen’s Systematic Exploration of Attention Gating appeared first on Towards Data Science.
This is ChatGPT’s first year as the No. 1 app on the U.S. App Store by downloads.
Denise Dresser is joining as Chief Revenue Officer, overseeing OpenAI’s global revenue strategy across enterprise and customer success. She will help more businesses put AI to work in their day-to-day operations as OpenAI continues to scale.
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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…
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions or be unable to tackle intricate problems that require more reasoning. To address this, MIT researchers developed a smarter way to allocate […]