CIO
JULY 18, 2023
Its founders spotted that generating 3D graphics in video games—then a fast-growing market—placed highly repetitive, math-intensive demands on PC central processing units (CPUs). Although Nvidia’s first chips were used to enhance 3D gaming, the manufacturing industry is also interested in 3D simulations, and its pockets are deeper.
TechCrunch
MAY 25, 2021
eYs3D Microelectronics , a fabless design house that focuses on end-to-end software and hardware systems for computer vision technology, has raised a $7 million Series A. The new funding will also be used to expand eYs3D’s product development and launch a series of 3D computer vision modules.
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TechCrunch
APRIL 11, 2022
Cocos is best known for its cross-platform, open source engine for 2D mobile games, but many have argued it has fallen behind in the 3D era. To play catchup, the Beijing-based company added 3D capabilities to its engine last year. “The progression of mini games is a revolution in China,” suggested Stapley. and Russia.
TechCrunch
FEBRUARY 7, 2023
Brian writes about how FRIDA’s robot arm attempts to bring DALL-E-style AI art to real-world canvases , and Haje covers how 3D laser cutting company Glowforge adds AI image generation to its software package. million to power web-based 3D design.
CIO
JUNE 13, 2023
Analog computing The most common paradigm for computation has been digital hardware built of transistors that have two states: on and off. Similar attacks on the hardware found in desktops or laptops is starting to hit closer to home for IT departments. Only you know when that moment might be for your tech stack.
CIO
APRIL 1, 2024
And if the Blackwell specs on paper hold up in reality, the new GPU gives Nvidia AI-focused performance that its competitors can’t match, says Alvin Nguyen, a senior analyst of enterprise architecture at Forrester Research. They basically have a comprehensive solution from the chip all the way to data centers at this point,” he says.
CIO
JANUARY 4, 2023
Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.
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