After reaching $1 billion in annualized revenue, Anysphere CEO Michael Truell explained the features his company is focused on building out.
Nano Banana Pro is our new image generation and editing model from Google DeepMind.
In her new book, The True Gifts of Christmas: Unwrapping the Meaning Behind Our Most Cherished Traditions, TV’s Megan Alexander shares the origin of her love for the Yuletide season and the meaning behind many of its most beloved traditions. Continue Reading…
Microsoft has released VibeVoice-Realtime-0.5B, a real time text to speech model that works with streaming text input and long form speech output, aimed at agent style applications and live data narration. The model can start producing audible speech in about 300 ms, which is critical when a language model is still generating the rest of its answer. Where VibeVoice Realtime Fits in the VibeVoice Stack? VibeVoice is a broader framework that focuses on next token diffusion over continuous […]
In this article, we rebuild Logistic Regression step by step directly in Excel. Starting from a binary dataset, we explore why linear regression struggles as a classifier, how the logistic function fixes these issues, and how log-loss naturally appears from the likelihood. With a transparent gradient-descent table, you can watch the model learn at each iteration—making the whole process intuitive, visual, and surprisingly satisfying. The post The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel appeared […]
Understanding how LLM agents transfer control to each other in a multi-agent system with LangGraph The post How Agent Handoffs Work in Multi-Agent Systems appeared first on Towards Data Science.
Computer-Aided Design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending a final version to a production line. But the software is notoriously complicated to learn, with thousands of commands to choose from. To be truly proficient in the software takes a huge amount of time and practice. MIT engineers are looking to ease CAD’s learning […]
Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decentralization. Instead of relying on a powerful “central planner” coordinating and commanding the behaviors of other components, modern deep-learning-based AI models succeed because many simple units interact locally […] The post Decentralized Computation: The Hidden Principle Behind Deep Learning appeared first on Towards Data Science.
An overview of Google’s latest funding announcement for computer science education and the newest AI Quest.