June 23, 2022, 4:20 p.m. | Frederic Lardinois

TechCrunch techcrunch.com

It takes massive amounts of data to train AI models. But sometimes, that data simply isn’t available from real-world sources, so data scientists use synthetic data to make up for that. In machine vision applications, that means creating different environments and objects to train robots or self-driving cars, for example. But while there are quite […]

3d modeling ai ai model amazon artificial intelligence aws bill vass cloud computer graphics computing developer enterprise machine vision objects remars 2022 robot robotics simulation software tc technology training virtual virtual reality visual effects

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Enterprise Data Architect

@ Pathward | Remote

Diagnostic Imaging Information Systems (DIIS) Technologist

@ Nova Scotia Health Authority | Halifax, NS, CA, B3K 6R8

Intern Data Scientist - Residual Value Risk Management (f/m/d)

@ BMW Group | Munich, DE

Analytics Engineering Manager

@ PlayStation Global | United Kingdom, London

Junior Insight Analyst (PR&Comms)

@ Signal AI | Lisbon, Lisbon, Portugal