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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

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.

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Evolution of Machine Learning, from Server to the Edge

UruIT

Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. Due to this exciting new development in machine learning and deep learning, we figured it would be interesting to show you how you can use Tensorflow.js

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San Diego-based startup LifeVoxel raises $5 million seed funding for its AI diagnostic visualization platform

TechCrunch

The platform, dubbed Prescient, is used for diagnostics, workflow management and triage, taking away the stress of managing software and hardware technology from physicians and hospitals — and allowing them to focus on patient care. It also includes features that makes it possible to include diagnostic annotations and reports. “We

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Digital twins are primed to revolutionize the infrastructure industry

CIO

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

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Navigating the Landscape of Development Frameworks: A Guide for Aspiring Developers.

Perficient

Kotlin : A modern, concise, and expressive programming language that runs on the JVM, is fully interoperable with Java, and is officially recommended by Google for Android app development due to its safety and productivity features. It is beginner-friendly and widely used for 2D and 3D game development. Unreal Engine Online Learning.

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Evolution of Machine Learning, from Server to the Edge

UruIT

Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. Due to this exciting new development in machine learning and deep learning, we figured it would be interesting to show you how you can use Tensorflow.js

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5 hot IT budget investments — and 2 going cold

CIO

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). This applies to his IT group as well, specifically, in using AI to automate the review of customer contracts, Nardecchia says.

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