TechCrunch
NOVEMBER 10, 2021
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
Capgemini
JANUARY 16, 2024
What the metaverse represents for the world today is essentially the evolution of the internet to a 3D immersive platform. Many of us will be overly familiar with the 2D environment of a video call, where some people prefer to stay off-camera and social cues can be limited by technical issues. Distance negatively impacts collaboration.
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Altexsoft
AUGUST 3, 2021
No matter how big or small your machine learning (ML) project might be, the overall output depends on the quality of data used to train the ML models. 3D cuboids. The only difference between 3D cuboids and bounding boxes is the depth of information about the target object. Semantic segmentation.
Altexsoft
JANUARY 21, 2022
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. Comparing functional prototypes.
Altexsoft
SEPTEMBER 16, 2021
In many cases, it is powered by machine learning models. Digital twinning also can be used to design new technical solutions — instead of creating multiple prototypes. The assortment includes 3D CAD models, bill of material (BOM) lists, engineering manuals, etc. Software components. Process and production twinning.
O'Reilly Media - Ideas
JANUARY 25, 2024
That may or may not be advisable for career development, but it’s a reality that businesses built on training and learning have to acknowledge. 1 That makes sense, given the more technical nature of our audience. PyTorch, the Python library that has come to dominate programming in machine learning and AI, grew 25%.
Altexsoft
APRIL 23, 2020
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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