EFF to Arizona Federal Court: Protect Public School Students from Surveillance and Punishment for Off-Campus Speech
Legal Intern Alexandra Rhodes contributed to this blog post. EFF filed an amicus brief urging the Arizona District Court to protect public school students’ freedom of speech and privacy by holding that the use of a school-issued laptop or email account does not categorically mean a student is “on campus.” We argued that students need private digital spaces beyond their school’s reach to speak freely, without the specter of constant school surveillance and punishment. Surveillance Software Exposed a […]
Gemini 3 Unpacked: What’s New for Developers
Google has launched Gemini 3 and claims it to be the most intelligent model yet, with the best reasoning, indicating significant progress in the use of AI in different modes. While previously, Gemini 3 had only restricted itself to mere language interactions, it has now entered the new era where AI not only comprehends commands but completes the entire task. This new feature is nothing short of a miracle for the developers who have been waiting for such […]
Coreweave CEO defends AI circular deals as ‘working together’
The CEO of the AI data center provider, which has Nvidia as an investor and a supplier, described the environment as a “violent change” in demand.
The Machine Learning “Advent Calendar” Day 11: Linear Regression in Excel
Linear Regression looks simple, but it introduces the core ideas of modern machine learning: loss functions, optimization, gradients, scaling, and interpretation. In this article, we rebuild Linear Regression in Excel, compare the closed-form solution with Gradient Descent, and see how the coefficients evolve step by step. This foundation naturally leads to regularization, kernels, classification, and the dual view. Linear Regression is not just a straight line, but the starting point for many models we will explore next in […]
The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What changes is the training objective. By adding a penalty on the coefficients, regularization forces the model to choose more stable solutions, especially when features are correlated. Implementing Ridge and Lasso step by step in Excel makes this idea explicit: regularization does not add complexity, it adds preference. The post The Machine Learning “Advent Calendar” […]
Charting the future of AI, from safer answers to faster thinking
Adoption of new tools and technologies occurs when users largely perceive them as reliable, accessible, and an improvement over the available methods and workflows for the cost. Five PhD students from the inaugural class of the MIT-IBM Watson AI Lab Summer Program are utilizing state-of-the-art resources, alleviating AI pain points, and creating new features and capabilities to promote AI usefulness and deployment — from learning when to trust a model that predicts another’s accuracy to more effectively reasoning […]
Time Series and Trend Analysis Challenge Inspired by Real World Datasets
See how different time series methods reveal the shifts, surges, and stabilization in inflation expectations.
These developers are changing lives with Gemma 3n
From enhancing assistive technology to addressing the digital divide, developers built mobile-first solutions to address real-world problems in the Gemma 3n Impact Chall…
How would you defend nap?
Why is nap better that any other ethical system? submitted by /u/unholy_anarchist [link] [comments]