Flipboard

MAY 17, 2023

When are we going to have full (level-5) self-driving cars? And I think what they say, interestingly, is how much of our language is very much rote, R-O-T-E, rather than generated directly, because it can be collapsed down to this set of parameters. Or, how far can a person throw a Frisbee? I’ll give you that.

Large Language Models 182

Large Language Models Robotics Convolutional Neural Networks Neural Network 182

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we explore the basics of visual prompt engineering, its benefits, and how it can be used to solve a specific use case: image segmentation for autonomous driving. This extensive dataset covers a wide range of objects and categories, providing SAM with a diverse and large-scale training data source.

Prompt Engineer 90

Prompt Engineer Prompt Engineering Computer Vision Machine Learning 90

Viso.ai

DECEMBER 18, 2023

Access to synthetic data is valuable for developing effective artificial intelligence (AI) and machine learning (ML) models. Real-world data often poses significant challenges, including privacy, availability, and bias. To address these challenges, we introduce synthetic data as an ML model training solution. Get a demo.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Mlearning.ai

OCTOBER 2, 2023

Learn how to use them to avoid the biggest scare in ML: overfitting and underfitting. So, how do you choose the right columns and data that will have the most impact on your model? The two main categories of feature selection are supervised and unsupervised machine learning techniques. Your code might look something like this.

Machine Learning 98

Machine Learning Explainability Auto-complete Algorithm 98

AWS Machine Learning Blog

JULY 3, 2023

For example, the following figure shows a 3D bounding box around a car in the Point Cloud view for LiDAR data, aligned orthogonal LiDAR views on the side, and seven different camera streams with projected labels of the bounding box. It’s one of the prerequisite tasks to prepare training data to train a deep learning model.

Deep Learning 81

Deep Learning Auto-complete Machine Learning ML 81

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. INTRODUCTION Have you ever wanted to buy your own car? A car is more than just a means of transportation — it’s a symbol of freedom, independence, and adventure. Figure 5: pgAdmin website 2.4.

Business Intelligence 52

Business Intelligence ETL Data Analysis Python 52

The Stanford AI Lab Blog

MARCH 28, 2022

Following this line of work, we focus on a specific category of games – those developed by students as part of a programming assignment. The practical machine learning knowledge accumulated in developing these algorithms has paved the way for people to now routinely train game-playing AI agents for many games.

Algorithm 52

Algorithm Auto-classification Automation Auto-complete 52