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250+ live online training courses opened for January, February, and March

O'Reilly Media - Ideas

Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Learn new topics and refine your skills with more than 250 new live online training courses we opened up for January, February, and March on our online learning platform. AI and machine learning. Blockchain.

Course 59
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Top Five Futuristic Technologies That Will Transform The World

OTS Solutions

Innovators are increasingly looking for ways companies can build a system that allows them to contribute to their machine-learning models and train automation. Its implication could be massive because blockchain technology could change the way entrepreneurs run their ventures. Driverless Vehicles.

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9 Promising Mobile Application Features – 2020 Edition

Xicom

To be precise, 5G is not just related with speed, it also cater to other services: 3D Gaming AR/VR Technology Data Security Speed. AI-Enabled chips Interoperatibility Among Neural Networks Automated Machine Learning AI Automated DevOPs Through AIOps. Blockchain App” – Inclusion Of Blockchain in Mobile App.

Mobile 52
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Radar trends to watch: May 2022

O'Reilly Media - Ideas

Google has released a dataset of 3D-scanned household items. 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.

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Top 17 mobile app development trends in 2020

Xicom

AI and Machine Learning. AI mobile application technology trends include AI automated DevOps through AIOps, AI-enabled chips, AI-assistant for speech, image and various forms of facial recognition. Blockchain. Blockchain makes mobile apps faster, safer, and with more features than ever before.

Mobile 64
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Technology Trends for 2022

O'Reilly Media - Ideas

And it’s no surprise that there’s a lot of interest in blockchains and NFTs. To understand the data from our learning platform, we must start by thinking about bias. Keep in mind that a title like Machine Learning in the AWS Cloud would match both terms.) What does that mean, and how is it affecting software developers?

Trends 110