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Don't miss our first Isaac Lab office hour this Wednesday at 9:00 AM PST. 🤖 Join us to deep-dive into NVIDIA Isaac Lab workflows & learn more about #robot learning and policy training from our very own robotics engineers. https://nvda.ws/3AWBmM7

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Muchiu (Henry) Chang, PhD. Cantab (Cambridge, UK)

Consultant in Patent Intelligence and Engineering Management

18h

NVIDIA Robotics Yes, fast computational technologies can make digitized data be transmitted, processed and stored easily and quickly. A five-year-old kid knows that we need menu to order our food. Similarly, we need metadata to classify, search, retrieve, and analyze the right data to get intelligence from the found data. Metadata is a copyrighted content, NOT technology. It enables data analytics. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, high-end chips, quantum/super computers, etc. https://lnkd.in/g-aJFnXR Let's try a go/no-go test to see if AI works without metadata, and then, at what cost. Is there any data solution, AI or NOT, that can answer the following questions of business intelligence? "How many entities, in the Ontario province of Canada or in the "江蘇" province of China, have new US patents granted on the nearest Tuesday (Eastern Time), when the USPTO releases the newly granted US patents on a weekly basis?" With our intellectual property (IP), a Chinese-English multilingual metadata, we can answer, simply by an ordinary laptop. Do you or any of your contacts need our expertise/IP to do the data analysis by a simple technology?

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Try using SES AI’s lithium-metal battery for satellite communication, drones, urban air mobility (UAM), and robots.

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