3D Automotive Machine Learning 
TechCrunch
MARCH 23, 2022
With offices in Tel Aviv and New York, Datagen “is creating a complete CV stack that will propel advancements in AI by simulating real world environments to rapidly train machine learning models at a fraction of the cost,” Vitus said. In-cabin automotive is a good example to better understand what Datagen does.
TechCrunch
JUNE 16, 2021
Tractable , which works with automotive insurance companies to let users take and submit photos of damaged cars that are then “read” to make appraisals, has raised $60 million, a Series D that values Tractable at $1 billion, the company said. Hover secures $60M for 3D imaging to assess and fix properties.
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TechCrunch
FEBRUARY 18, 2022
ByondXR – Provides retail 3D virtual experiences that are fast, scalable and in line with the latest metaverse technologies. echo3D – Cloud platform for 3D/AR/VR that provides tools and network infrastructure to help quickly build and deploy 3D/metaverse apps, games and content. Tanvas, Inc. Innovation for Impact.
TechCrunch
FEBRUARY 2, 2022
They announced Wednesday an early access program to Scale Synthetic , a product that machine learning engineers can use to enhance their existing real-world data sets, according to the company. Scale hired two executives to build out this new division of its business.
TechCrunch
NOVEMBER 30, 2022
We think moving video conferencing from 2D to 3D could even make it better than face-to-face.” Based around machine learning, CommonGround’s platform is theoretically learning all the time from its users: The more you use it, the more you train it and the more accurate it becomes.
Strategy Driven
NOVEMBER 5, 2024
High-tech vision systems use AI and machine learning to automatically spot defects, measure sizes, and check product quality. While AI-powered systems excel at detecting even the tiniest flaws, tools like the PDR slide hammer are equally vital for making precise adjustments and repairs, particularly in the automotive industry.
CIO
MARCH 8, 2023
The rise of artificial intelligence (AI), machine learning (ML), and real-time analytics applications, often deployed at the edge, can utilize HPC resources to unlock insights from data and efficiently run increasingly large and more complex models and simulations.
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