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Artificial Intelligence (ai) is helping humanoid robots navigate the world

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Jensen Huang, the CEO of Nvidia, announced the latest AI offerings at CES, Las Vegas, July 16 – 17, 2015

The most powerful consumer computing hardware will be released by NVIDIA when it’s released. Jetson is a range ofAI development chipsets that start at $250. There are smaller artificial intelligence models that can be run on these and either be installed on a robot or used as a mini desktop computer.

Jensen Huang, founder and CEO of Nvidia, announced the new system, along with several other AI offerings, during a keynote speech today at CES, an annual confab for the computer industry held in Las Vegas (you can check out all of the biggest announcements on the WIRED CES live blog).

“Placing an AI supercomputer on the desks of every data scientist, AI researcher and student empowers them to engage and shape the age of AI,” Huang said in a statement released ahead of his keynote.

Digits will make it easier for hobbyists and researchers to experiment with models that come close to the basic capabilities of OpenAI’s GPT-4 or Google’s Gemini in their offices or basements. But the best versions of those proprietary models, housed inside giant data centers owned by Microsoft and Google, are most likely larger as well as more powerful than anything Digits could handle.

Nvidia says that there are many companies using Cosmos, including a humanoid robot startup and self-driving car companies.

Different kinds of robots will be helped by the software that has been announced by Nvidia. The new feature is part of Nvidia’s existing Isaac robot simulation platform that will allow robot builders to take a small number of examples of a desired task, like grasping a particular object, and generate large amounts of synthetic training data.

During his keynote presentation at the annual Consumer Electronics Show in Las Vegas, NVIDIA CEO JensenHuang showed examples of Cosmos being used to simulation activities inside warehouses. Cosmos was trained on 20 million hours of real footage of “humans walking, hands moving, manipulating things,” Jensen said. That isn’t about generating creative content, but teaching the artificial intelligence to comprehend the physical world.

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