Blockchain Machine Learning Research VR 
OTS Solutions
JUNE 3, 2022
At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. In addition, pharmaceutical businesses can generate more effective drugs and improve medical research and experimentation using machine learning.
Openxcell
JUNE 29, 2018
Machine Learning. Blockchain. Over the past two years, mobile app development platforms have expanded front- and back-end capabilities for ease of use, breadth of connectors to back end, and innovative services in the cloud,” said Denise Lund, research director, Enterprise Mobility at IDC. Machine Learning.
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Openxcell
JUNE 29, 2018
Machine Learning. Blockchain. Over the past two years, mobile app development platforms have expanded front- and back-end capabilities for ease of use, breadth of connectors to back end, and innovative services in the cloud,” said Denise Lund, research director, Enterprise Mobility at IDC. Machine Learning.
Trigent
FEBRUARY 19, 2021
They are quick to choose, sign up and cancel as well, as research indicates that 62% signed up to watch a particular show and cut the service once they were done while 43% canceled the same day once they realized they did not want it anymore. Recommendations apply to both contents as well as ads that users may be inclined to watch.
Mobilunity
JANUARY 24, 2023
By utilizing cutting-edge technologies such as 3D, AR, and VR, metaverse app development creates a vast virtual platform that mimics the real world, allowing for a seamless and uninterrupted experience regardless of the number of users. Blockchain technology: Ethereum, EOS, and TRON to create decentralized metaverses and virtual currencies.
Openxcell
JUNE 29, 2018
Machine Learning. Blockchain. Over the past two years, mobile app development platforms have expanded front- and back-end capabilities for ease of use, breadth of connectors to back end, and innovative services in the cloud,” said Denise Lund, research director, Enterprise Mobility at IDC. Machine Learning.
O'Reilly Media - Ideas
MAY 3, 2022
FOMO (Faster Objects, More Objects) is a machine learning model for object detection in real time that requires less than 200KB of memory. It’s part of the TinyML movement: machine learning for small embedded systems. Researchers have found a method for reducing toxic text generated by language models.
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