How was DeepScale created?

Forrest completed a Ph.D. in electrical engineering and computer science at UC Berkeley, where his research focused on deep neural networks. His best-known work includes deep learning infrastructure such as FireCaffe and deep models such as SqueezeNet and SqueezeDet. His advances in deep learning led to the founding of DeepScale in 2015.

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Vicarious AI

Vicarious is developing artificial general intelligence for robots. By combining insights from generative probabilistic models and systems neuroscience, our architecture trains faster, adapts more readily, and generalizes more broadly than AI approaches commonly used today.

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Accelerate AI Adoption with Frictionless AI

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Altair RapidMiner is unrivaled in its ability to eliminate the organizational friction between people, the technical friction between tools, and the financial friction between aspiration and reality. Our solutions empower your employees, regardless of their skill level, to master the analytics lifecycle, from data ingestion and modeling to operationalization and reporting. Our platform delivers the tools you need to go from idea to insight. The result is a data analytics ecosystem that meets you where you are, and evolves with you, wherever you go in the future....

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video | August 11, 2023

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video | August 1, 2023

When the Falcon 10X brakes, it'll be thanks in part to her! An embedded software development engineer at Safran, Agathe is working on implementing software functionalities on the landing gear of Dassault Aviation's brand-new business jet. Development, bench testing, mutual support and training opportunities - find out more about Agathe's day-to-day work in this video!...

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Generative AI for Executives - What is Generative AI?

video | July 21, 2023

A training for executives, non-technical business leaders, business decision makers, and technical decision makers to explore what generative AI is....

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Spotlight

Vicarious AI

Vicarious is developing artificial general intelligence for robots. By combining insights from generative probabilistic models and systems neuroscience, our architecture trains faster, adapts more readily, and generalizes more broadly than AI approaches commonly used today.

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