CIO
APRIL 12, 2024
These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.
TechCrunch
JULY 17, 2022
Ill-fated game streaming service OnLive also formed an ABC in 2015 to sell its technology to Sony. In May 2021, the companies announced a collaboration to create “walkable” 3D tours of model homes using Modsy’s technology. It’s not an untested strategy in the tech industry. ” Upset customers.
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TechCrunch
APRIL 13, 2021
Tempo’s freestanding cabinet, which the company launched in February 2020, includes a 42-inch touchscreen with a 3D motion-tracking camera that consistently scans, tracks and coaches users as they work out. Other participants in the Series C round included Bling Capital, DCM, General Catalyst and Norwest Venture Partners. .
TechCrunch
MARCH 24, 2021
The 2015-founded fit-tech startup has developed a system for measuring cycling cadence without additional sensors — users need only affix their existing smartphone or tablet to a stationary exercise bike to get real-time feedback on their performance. .” Motosumo algorithms are proprietary and trained by a machine learning loop.
Openxcell
JUNE 7, 2023
The company introduced Vision Pro at WWDC 2023 in June, marking its first entry into a new product category since the 2015 Apple Watch. With visionOS, developers can create apps for the new device using familiar Apple tools such as Xcode, SwiftUI, RealityKit, and ARKit, as well as Unity and Reality Composer Pro, which prepares 3D content.
Erik Bernhardsson
SEPTEMBER 23, 2015
This is a blog post rewritten from a presentation at NYC Machine Learning last week. For an example of this, let’s look at one of the most canonical data sets in machine learning – the MNIST handwritten digits dataset. I will be splitting it into several parts. Building an image search engine for handwritten digits.
Erik Bernhardsson
SEPTEMBER 23, 2015
This is a blog post rewritten from a presentation at NYC Machine Learning last week. For an example of this, let’s look at one of the most canonical data sets in machine learning – the MNIST handwritten digits dataset. I will be splitting it into several parts. Building an image search engine for handwritten digits.
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