Cadence Design Systems (an American multinational technology corporation specializing in providing software, hardware and intellectual property solutions for designing complex electronic products) has partnered with Nvidia to promote the development of artificial intelligence (AI) for robots, with the expectation of shortening the training and deployment time of robots in practice.
According to leaders of the two businesses, this combination focuses on integrating Cadence's physics simulation tools, which are capable of predicting how materials interact in the real world with Nvidia's AI models.
These models are designed to train robots in a computer simulation environment before being put into real-life operation.
Speaking at a conference in Santa Clara (California), Nvidia CEO Jensen Huang said that the two sides are cooperating deeply in the field of robot systems.
Meanwhile, Cadence CEO - Anirudh Devgan, emphasized that the quality of training data is the decisive factor for the effectiveness of AI models.
In fact, training robots in a simulated environment saves time and costs compared to direct testing. However, training data is not available, requiring it to be created from complex simulation software.
This is the point that Cadence has strengths in, helping to improve data accuracy and improve AI performance.
Not only stopping at robots, Cadence also announced a new AI agent to automate chip design processes.
Previously, the company introduced a tool to support the early stages of circuit design. With the new version, AI will continue to take on the following steps, including arranging the circuit into a physical design on silicon.
Notably, this system will be deployed on Alphabet's Google Cloud platform, opening up the possibility of accelerating chip design thanks to cloud computing power.
The combination of AI, physical simulation and cloud infrastructure is expected to create a new step forward for the robotics and semiconductor industry.
At the same time, the trend of AI supporting the AI development process itself is also gradually becoming a focus in the strategy of large technology companies.
