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

TechCrunch

The world got a glimpse of a fully traversable and remarkably (if not 100%) accurate globe in Flight Simulator last year; we called a “technical marvel” and later went into detail about how it was created, and by whom. Using all this it creates a plausible 3D reconstruction of the building. Blackshark.ai

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Is the metaverse inching closer to reality?

Capgemini

It is right to question technologies that promise so much when many have not lived up to the hype. What the metaverse represents for the world today is essentially the evolution of the internet to a 3D immersive platform. Would it not be far more personal to enable people to explore the company interactively in a 3D hall or gallery?

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Functional Prototype: How to Iterate with your Software Product

Altexsoft

It can take many forms: hand-drawn and modeled using paper, visualized in wireframes or 3D-printed. In case a PoC is technically developed, it can be also called a feasibility prototype, which we will talk about further. Feasibility prototype – Testing technical limitations. New technology. No prior experience.

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Technology Trends for 2024

O'Reilly Media - Ideas

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. We’re skeptical about things like job displacement, at least in technology. This has been a strange year. What will those changes be?

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Digital Twins: Components, Use Cases, and Implementation Tips

Altexsoft

The key technology driving DTs is the Internet of Things (IoT) sensors which initiate the exchange of information between assets and their software representation. In many cases, it is powered by machine learning models. This makes the technology welcome across many industries. Components of the digital twin system.

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Deep Learning in Medical Diagnosis: How AI Saves Lives and Cuts Treatment Costs

Altexsoft

There is a hope artificial intelligence (AI) and machine learning (ML) can change this unsettling situation for the better. This article highlights the most successful examples of machine learning applications in diagnosis, accentuates its potential, and outlines current limitations. Early melanoma detection.

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How to Choose Fraud Detection Software: Features, Characteristics, Key Providers

Altexsoft

In our whitepaper on fraud detection , we compared machine learning-based systems with rule-based ones and described how ML-based solutions help prevent and identify fraudulent activity across several industries. Many of these systems use both rules (that users can edit) and machine learning techniques to achieve higher efficiency.