Remove 3D Remove Artificial Intelligence Remove Machine Learning Remove Virtualization
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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. The intelligence generated via Machine Learning. There are also significant cost savings linked with artificial intelligence in health care.

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How Nvidia became a trillion-dollar company

CIO

Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

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Artificial Intelligence: How is it transforming social media and businesses?

Openxcell

Artificial Intelligence is still playing a significant role in all fields of science, technology, and business. Artificial Intelligence is reshaping the social media landscape in ways we never imagined. What is Artificial Intelligence? Instagram utilizes Artificial Intelligence to recognize images.

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LG announces the first 50 participants in its LG Nova program

TechCrunch

– Tech-enabled, virtual respiratory care provider that makes it easy to take the unknown and unmanageable out of respiratory illness and give control back to the patients suffering from it. Mindset Medical – Delivers a portfolio of proprietary virtual technologies that advance the full continuum of patient care. TRIPP, Inc.

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Ferrovial puts AI at the heart of its transformation

CIO

Since its creation over five years ago, the Digital Hub has included a team of experts in innovation, technologies, and trends — such as IoT, big data, AI, drones, 3D printing, or advances in customer experience — who work in concert with other business units to identify and execute new opportunities.

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Blackshark.ai’s digital twin of Earth attracts $20M in funding

TechCrunch

The basis of their technique is turning widely available 2D imagery into accurate 3D representations with machine learning, a bit of smart guesswork, and a lot of computing power. Using all this it creates a plausible 3D reconstruction of the building. But that also necessitates the aforementioned 2D-to-3D method.

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Sneaker fit startup Neatsy.ai gets $1M seed after B2B pivot

TechCrunch

startup, which was founded back in March 2019 by Artem Semyanov (the former head of the machine learning team at Prism Labs ), is now fully focused on selling its fit-tech to e-tailers via an SDK. Neatsy wants to reduce sneaker returns with 3D foot scans. month per user).

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