Rivian is building its own AI assistant
The EV maker will likely share more details on its upcoming AI and autonomy day scheduled for December 11.
The EV maker will likely share more details on its upcoming AI and autonomy day scheduled for December 11.
submitted by /u/JamesParkes [link] [comments]
Sundar Pichai sits down with Logan Kilpatrick to discuss Gemini 3 on the Google AI: Release Notes podcast.
As AI models grow in complexity and hardware evolves to meet the demand, the software layer connecting the two must also adapt. We recently sat down with Stephen Jones, a Distinguished Engineer at NVIDIA and one of the original architects of CUDA. Jones, whose background spans from fluid mechanics to aerospace engineering, offered deep insights into NVIDIA’s latest software innovations, including the shift toward tile-based programming, the introduction of “Green Contexts,” and how AI is rewriting the rules […]
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 […]
Cashew Research uses AI to automate the market research process while still collecting real-world data from humans.
Thomas Massie shows the way The post Is there an Epstein connection to our Downsize strategy? appeared first on Downsize DC.
Author(s): Manash Pratim Originally published on Towards AI. Stop watching 20 minutes of “Hey guys, welcome back!” just to find one function. I have a confession. Image generated using AIThe article discusses the author’s development of a tool that efficiently extracts code from YouTube coding tutorials by utilizing the hidden transcripts that accompany the videos. The author details the motivation behind creating this tool, the technical stack used, and provides an overview of its efficacy, demonstrating significant time […]
Author(s): Utkarsh Mittal Originally published on Towards AI. Introduction XGBoost (Extreme Gradient Boosting) has become the go-to algorithm for winning machine learning competitions and solving real-world prediction problems. But what makes it so powerful? In this comprehensive tutorial, we’ll unpack the mathematical foundations and practical mechanisms that make XGBoost superior to traditional gradient boosting methods. This tutorial assumes you have basic knowledge of decision trees and machine learning concepts. We’ll walk through the algorithm step-by-step with visual examples […]
Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is flowing to the right areas at the exact time when it is needed, and they must do this in a way that minimizes costs without overloading physical infrastructure. Even more, they must solve this complicated problem repeatedly, as rapidly as possible, to meet constantly changing demand. To help crack this consistent conundrum, MIT researchers developed a […]