Machine Learning Video Virtualization VR 
TechCrunch
JANUARY 25, 2023
Does the average person want to shop for apparel in virtual reality (VR)? But not everyone agrees — particularly those who hope to build a business out of VR retail. ” Emperia’s platform offers tools brands can use to create virtual experiences, including stores in VR. .”
TechCrunch
NOVEMBER 30, 2022
Like “TrueSelf Scan,” the name of the initial application that’s used to scan a person’s image, the meeting software also will not require a VR headset to use and engage with — users will be “seated” in a room that will be shown on a video screen.
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TechCrunch
MARCH 30, 2022
Wicked fast VPNs, data organization tools, auto-generated videos to spice up your company’s Instagram stories … Y Combinator’s Winter 2022 open source founders have some interesting ideas up their sleeves. How it says it differs from rivals: Tuva uses machine learning to further develop its technology. Founded: 2022.
Trigent
AUGUST 20, 2023
In that case, it is essential to understand why companies consider adopting new technologies or digital transformations like Augmented Reality (AR) and Virtual Reality (VR) to meet customer needs. While AR and VR offer many revolutionary experiences, XR is based on the same technologies. million VR users and 110.1
OTS Solutions
JUNE 3, 2022
At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Because of the advancements in electronic device technology and software, video and audio appointments can be held on various internet-connected devices. The intelligence generated via Machine Learning.
Trigent
APRIL 16, 2021
The role of technology in the education industry has witnessed some monumental trendsetters, right from 2019, which saw the advent of Big Data , Internet of Things (IoT), and Machine Learning. Though AI can never replace a human, video calls for better teacher-student engagement, irrespective of their location.
TechCrunch
FEBRUARY 11, 2021
ERA -backed startup Intenseye , a machine learning platform, has raised a $4 million seed round to try to bring that number way down in an economic and efficient way. Workplace injuries and illnesses cost the U.S. upwards of $250 billion each year, according to the Economic Policy Institute. The Intenseye team is made up of 20 people.
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