A research team has developed a machine learning-based design of experiments (DOE) method that efficiently optimizes the performance and process conditions of organic thermoelectric devices.

Data-Driven Design: Leveraging Synthetic Data for Engineering Simulations. July 31, 2023. ... Having successfully simulated a device’s performance in one complex real-life room, ...

To combat those obstacles, the team developed a data-driven design approach based on a state-of-the-art machine learning technique called “neural operator.” “We have broadened the horizon of AI for ...

In recent years, edge devices have become essential for real-time operations and data processing. However, the rapid evolution of technology and hardware manufacturers' planned obsolescence ...

Here are three critical areas hardware and software teams should consider to ensure a successful partnership for the privacy of dedicated smart devices: 1. Hardware developers can build privacy ...

Edge Impulse, the world's leading AI developer platform, and MemryX, the world's leading AI hardware-based accelerator, together are transforming the ...

OpenAI CEO Sam Altman envisions a future where AI-driven devices revolutionize education. He proposes personalized AI companions for students, adaptin ...