3D Machine Learning Technical Advisors 
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
AWS Machine Learning - AI
NOVEMBER 14, 2024
A complete prompt might read: “3D Voxel Art; wide angle shot of a bright and colorful world.” For instance, in the prompt “A realistic 3D render of a red apple,” the clarity of tokenization can significantly affect the quality of the output image. Similarly, emphasizing multiple aspects, as in “A (photorealistic:1.4) (3D render:1.2)
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.
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
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.
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
NOVEMBER 15, 2018
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.
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