Learning science consistently shows us that true learning requires active engagement. This is fundamental to how Gemini helps you learn. Going beyond simple text and sta…
How to implement a training algorithm that finally looks like “real” machine learning The post The Machine Learning “Advent Calendar” Day 4: k-Means in Excel appeared first on Towards Data Science.
If poetic serendipity is the language of the Holy Spirit, then perhaps nowhere is it more evident than in friendship. Friendship requires our cooperation, yes. We must choose it, and choose to remain in it. Continue Reading…
From idea to impact : using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science.
A 65-year-old retired doorman in Queens is heading to prison next month — not for killing his attacker in self-defense, but for possessing the unlicensed firearm that saved his life. lead , In a recent op-ed titled He Held the Door for Years, But the Court Slammed One on Him, Cato scholar Mike Fox details how American juries have strayed from the founders’ intent of being the community’s conscience, in part writing: , “We have replaced community conscience with […]
An overview of Google’s latest funding announcement for computer science education and the newest AI Quest.
The letter demanded companies institute new safeguards to keep users safe from harmful psychological impacts.
During the first days of this Machine Learning Advent Calendar, we explored models based on distances. Today, we switch to a completely different way of learning: Decision Trees. With a simple one-feature dataset, we can see how a tree chooses its first split. The idea is always the same: if humans can guess the split visually, then we can rebuild the logic step by step in Excel. By listing all possible split values and computing the MSE for […]
What comes after Transformers? Google Research is proposing a new way to give sequence models usable long term memory with Titans and MIRAS, while keeping training parallel and inference close to linear. Titans is a concrete architecture that adds a deep neural memory to a Transformer style backbone. MIRAS is a general framework that views most modern sequence models as instances of online optimization over an associative memory. Why Titans and MIRAS? Standard Transformers use attention over a […]