Light calculations offer greater energy efficiency and can significantly speed up the training and reasoning processes in deep learning. A recent paper published in *Nature Photonics* highlights the potential of photonic circuits, showcasing their power in advancing AI technologies. Baidu has reportedly invested in Lightelligence, an optical AI chip startup, to help accelerate artificial intelligence workloads.
Lightelligence, a Boston-based startup, has recently secured $10 million in its seed funding round. The company is focused on using cutting-edge optical technologies to boost the performance of AI systems. This latest round of funding was led by Baidu Ventures and the U.S. Semiconductor Executives Consortium, signaling strong industry confidence in the future of optical computing.
At the core of Lightelligence’s technology are photonic circuits—innovative alternatives to traditional electronic circuits that use photons instead of electrons for data transmission. Unlike electrons, which generate heat when traveling through copper wires, photons move without producing significant heat or signal loss. According to Paul Xie, founder and VP of Products at Lightelligence, this makes optical computing far more energy-efficient.
In cloud computing environments, this technology can greatly enhance the speed and efficiency of deep learning tasks. It also holds promise for edge devices such as drones, sensors, and other power-hungry applications where energy efficiency is crucial.
The technology was originally developed by researchers at MIT, and Lightelligence was founded with the goal of bringing these innovations to market. Last summer, the team published a groundbreaking paper in *Nature Photonics*, demonstrating the real-world potential of photonic circuits.
On its official website, Lightelligence lists two key research papers that form the foundation of its technology, further reinforcing its scientific credibility and long-term vision in the field of optical AI.
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