As artificial intelligence and robotics technologies are rapidly developing, NVIDIA has come up with a new prediction. NVIDIA senior scientist Jim Fan stated that there will be a major leap in the field of robotics in the next 2-3 years and that this process will have a revolutionary effect similar to the one created by GPT-3 in the field of artificial intelligence. Fan said that robots will not only have technical skills, but will also be more widespread and accessible in every aspect of our lives.

According to NVIDIA, we could be entering an era of robots in 2-3 years

NVIDIA is working on a massive project called Project Groot . This project is developing human-like robots that can perform tasks that humans perform in the physical world. According to Jim Fan, since the world is built around the human form, such robots should be capable of working like humans in restaurants, hospitals, and factories. In order for future robots to perform the same tasks as humans, they need to have both powerful artificial intelligence software and appropriate hardware systems.

However, Fan also points out that technological developments alone are not enough. He emphasizes that in order for robots to be fully integrated into our lives, these devices must be produced at affordable costs , used safely, and supported by legal regulations. At this point, not only the capabilities of the robots but also factors such as security and privacy come into play.

According to Jim Fan, the introduction of robots into daily life will gain momentum in the next 2-3 years. Just as GPT-3 revolutionized the world of language processing and artificial intelligence, basic models in the field of robotics can have the same effect. Investments and innovations in this field, especially by technology giants such as NVIDIA, can make robots indispensable not only in industrial areas but also in our daily lives.

One technique NVIDIA is using to achieve this goal is to integrate internet data, simulation data, and real-world robot data into robots. Bringing this data together will allow the robots to learn more effectively and interact better with humans. Additionally, AI-powered technologies such as Eureka, which are used in robot training, help the robots learn and execute tasks quickly.

In short, NVIDIA may be on the verge of a major revolution in robotics, but not just technological advances but also factors like security and cost will play a critical role in this process.