The automotive industry is constantly changing and shifting, with technology being at the forefront of automakers’ minds at the moment. NVIDIA, the tech giant, may have just dropped a huge bomb that could accelerate the development of fully autonomous vehicles, changing the way we look at transportation.
NVIDIA has developed what they are calling the Cosmos platform. It is a tool that aims to slingshot physical AI into a completely new realm. Through the use of a number of different learning tools, it could play a major role in getting self-driving cars on the road in the not-too-distant future.
We explore NVIDIA’s new platform and how it makes leaps and bounds in the world of physical AI. We outline some of the platforms core functions and how they could be applied to vehicles in a number of different ways. We also explore some of the methods NVIDIA is using to ensure that the artificial intelligence is utilized safely and responsibly.
In order to give you the most up-to-date and accurate information possible, the data used to compile this article was sourced from various manufacturer websites and other authoritative sources, including TopSpeed.
Related
10 Cars with the Most Advanced AI Features Right Now
These 10 cars showcase cutting-edge AI, from autonomous driving to smart assistants, redefining convenience, safety, and driving experience.
NVIDIA Aims to Revolutionize Physical AI
NVIDIA’s new Cosmos platform is a massive development in the world of artificial intelligence. With vehicle manufacturers looking for ways to upgrade autonomous driving alongside interior comfort, the Cosmos platform could play a huge part in the march towards the future of transportation.
What is the Cosmos Platform?
At CES this year, NVIDIA showcased their new Cosmos platform, which offers an innovative approach to physical AI. Physical AI has traditionally been seen as a challenging area of artificial intelligence. It deals with the processing and understanding of things within the physical world, such as live video and speech.
Usually, training a physical AI model involves labeling and categorizing millions of hours of footage. However, NVIDIA has developed the Cosmos world foundation model, which will generate three-dimensional simulations instead. This cuts costs and work hours in a massive way.
Endless Practical Applications
There are an endless number of areas where this new platform could be integrated and used. Essentially, any kind of robot or autonomous vehicle will benefit. It can be used to further artificial intelligence applications in warehouses, factories, trucks, alongside a number of other machines by training these machines to react to physical stimuli.
In the automotive world, this could change things in a massive way. Thanks to its world foundation models and state-of-the-art data processing pipeline, the Cosmos platform could accelerate self-driving functions in a huge way. It means that creating autonomous vehicles that can effectively react to external data will become much easier and much more cost-effective.
Related
10 Cars That Could Have Solid-State Batteries Before The End Of The Decade
These 10 cars could be among the first to adopt solid-state batteries, promising faster charging, longer range, and improved durability by 2030.
Cosmos is Likely to Drastically Improve Development of Autonomous Vehicles
The world is moving towards fully self-driving vehicles whether we like it or not. While companies like Tesla may have laid the groundwork, there are a number of automakers offering autonomous driving, with level three autonomous driving on the horizon. NVIDIA’s new platform could drastically expedite the arrival of fully-self-driving vehicles.
Key Features of Cosmos
- Physics-based Synthetic Data Generation
- Advanced Tokenizers
- NeMo Curator
- Multiverse Simulation
As mentioned earlier, one of the most impressive features of the Cosmos platform is that it can produce photorealistic simulations of the real world. This improves and streamlines training and learning. It is also able to process videos twelve times faster than current models. In terms of vehicles, this would mean that the system in a self-driving car could have been taught how to deal with and adapt to an endless number of scenarios.
Cosmos also makes use of what NVIDIA calls multiverse simulation. Cosmos essentially allows developers to simulate all the possible outcomes that an AI agent could encounter. This means that automated vehicles could be trained on how to deal with even the most obscure and niche scenarios on the road, making it safer and more comprehensive.
Cosmos is Already Being Widely Adopted
While Cosmos is new, there are already some key players in the automotive world making use of the innovative technology. For instance, Waabi, an autonomous vehicle company, is one of the world’s leaders in generative AI. They are currently evaluating how they can utilize Cosmos to accelerate their processes.
Another example of a massive company making use of Cosmos is Uber. The ride-sharing company has made their intentions to have self-driving vehicles available to their customers. They are currently partnering with NVIDIA to develop this autonomous fleet. By combining Uber’s datasets with Cosmos’ processing power, they aim to develop safe and accessible self-driving cars.
Related
10 Companies Spearheading Development of Hydrogen-Combustion Engines
These 10 companies are leading the charge in hydrogen-combustion engine tech, pushing for cleaner, more efficient alternatives to traditional fuels.
NVIDIA Ensures the Cosmos Platform Is Readily Available to Developers
Automotive digitalization with NVIDIA omniverse
There is no doubt that the Cosmos platform will become one of the most important tools in the development of autonomous driving and artificial intelligence in cars. Even more important, is that the tech giant has not kept this technology hidden away under lock and key, but is instead making it available to all.
The Tech Is Openly Accessible
Something that the human race is often guilty of is gatekeeping. When technologies develop that could be universally beneficial, individuals sometimes keep it to themselves. NVIDIA, however, has made sure that their advancements will give everyone the tools to further the development of physical AI.
Like large language models, world foundation models are fundamental to advancing robot and AV development. Yet, not all developers have the expertise or resources to train their own. We created Cosmos to democratize physical AI and put general robotics in reach of every developer.
NVIDIA’s CEO compares Cosmos to the likes of ChatGPT. While the language model revolutionized how we access and process data, Cosmos looks to do the same when it comes to physical data. It not only has revolutionized how models learn, but it has also made the technology accessible.
The Cosmos Platform is Open and Scalable
Cosmos World Foundation Models (WFMs) will be available under an open model license. This means that while NVIDIA owns the technology, developers can freely use it for commercial purposes. The models can be accessed via NVIDIA’s NGC Catalog, a collection of GPU-optimized software for AI and machine learning.
Cosmos models are already beginning to hit the catalog and are available to access. Core among these models are diffusion and autoregressive models. These models can be used for data curation, model training, and synthetic data generation.
Related
10 Cars That Were Technologically Ahead Of Their Time
From electric revolutions to futuristic designs, here are 10 cars that introduced groundbreaking technologies that changed the automotive industry.
The Firm Puts an Emphasis on Trustworthy AI and Responsible Use
A shot of NVIDIA Omniverse in use for automotive design
There is a lot of doubt and speculation surrounding artificial intelligence at the moment, with people dubious of the potential negative impacts. As one of the world’s leaders in the field, NVIDIA has made a commitment to developing AI that is not only responsible but that can also be trusted by the user.
Guardrails and Operating Rules
With the Cosmos system so likely to be widely adopted, it is important that steps are taking to combat the harmful use of AI. This is particularly true as autonomous vehicles, which will have people’s lives in their proverbial hands, will utilize the Cosmos platform. Hence, the company has taken some precautions.
Any videos generated by Cosmos will come fitted with invisible watermarks, which make it easy to identify them as having been created by artificial intelligence. It also makes use of a number of different tools which aim to improve the accuracy of text-generated responses and prevent any unwanted bias.
A New Era For Physical AI
NVIDIA has ensured that they are leading the race when it comes to the physical AI revolution. The Cosmos platform will be looked back on as an innovative tool that completely changed the landscape of how AI models learn. It will also be looked on as one of the tools that springboarded the development of autonomous vehicles, which will undoubtedly change transportation forever, on a personal and commercial level.
