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VRAI wants to tackle the energy crisis by bringing VR simulation training to offshore wind sector

TechCrunch

Virtual Reality (VR) has struggled to transition too far beyond gaming circles and specific industry use-cases such as medical training , but with the burgeoning metaverse movement championed by tech heavyweights such as Meta , there has been a renewed hope (and hype) around the promise that virtual worlds bring. hub in Gateshead.

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CommonGround raises $25M for immersive video avatar technology that doesn’t rely on VR gear

TechCrunch

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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How Far has Face-Tracking Technology Come in 2016?

CTOvision

To take face-tracking technology one step further, developers have to introduce machine learning to the Viola-Jones Algorithm and teach a program not only how a face can move, but also how various faces can differ. Veeso is building a VR headset that tracks the wearer’s eye and mouth movement. Leave a comment below!

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Generative AI is electrifying. Charge ahead or get shocked.

CIO

cloud, mobile, social, crypto, VR), there’s a lot of noise and misconceptions to sort through. Chet successfully took Apigee public before the company was acquired by Google in 2016. Artificial Intelligence, Machine Learning But, like with any new technology (e.g. Chet earned his B.S.

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11 milestones in AR and VR in 2018

Agile Engine

Do you ever feel like the hype is strong for VR and AR? billion revenue in consumer VR by the end of the year. Second, there are just too many forecasts in VR and AR, which makes it hard to separate noise from meaningful information. This post will explore the milestones reached in AR and VR. Take Superdata, for example.

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The Future of AI in Design: Exploring the Cutting-Edge Technologies and AI Designers Revolutionizing the Creative Industry

Openxcell

By the 2000’s they had successfully developed AI systems that could ‘learn’ from past designs thus paving the way for AI-aided designing. In 2016, Google introduced, “Quick Draw” which was another marked milestone in the active use of AI in designing. These ML techniques then help computers to predict or make decisions accordingly.

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The Future of AI in Design: Exploring the Cutting-Edge Technologies and AI Designers Revolutionizing the Creative Industry

Openxcell

By the 2000’s they had successfully developed AI systems that could ‘learn’ from past designs thus paving the way for AI-aided designing. In 2016, Google introduced, “Quick Draw” which was another marked milestone in the active use of AI in designing. These ML techniques then help computers to predict or make decisions accordingly.

UI/UX 52