Periodic Labs Launches with $300M to Accelerate AI-Driven Scientific Discovery
Periodic Labs, a startup founded by former OpenAI and DeepMind researchers, has launched with a mission to accelerate scientific discoveries using AI. Based in Menlo Park, California, the company aims to invent new superconductors and other novel materials, with a unique approach that sets it apart from tech giants like OpenAI and Meta.
The startup, which opened its lab in August 2021, has raised $300 million in seed funding from prominent investors including Andreessen Horowitz, DST, Nvidia, Accel, Elad Gil, Jeff Dean, Eric Schmidt, and Jeff Bezos. Periodic Labs' approach involves AI scientists mixing, heating, and manipulating powders and raw materials to discover breakthroughs. All physical-world data generated by these AI scientists is collected and analyzed.
Among the founders is Ekin Dogus Cubuk, who previously worked at Google DeepMind and created an AI tool called GNoME. This tool discovered over two million new crystals, demonstrating the potential of AI in scientific discovery. Another founder, Liam Fedus, is a former OpenAI researcher who worked on ChatGPT. The team believes that current AI approaches by companies like OpenAI and Meta are not on the path to 'true scientific discovery'.
Periodic Labs plans to build an autonomous lab in Menlo Park, where robots will conduct scientific experiments guided by AI systems. This innovative approach aims to accelerate discoveries in areas like physics and chemistry.
With its unique approach and backing from prominent investors, Periodic Labs is poised to make significant strides in AI-driven scientific discovery. The startup's goal is to invent new superconductors and other novel materials, potentially revolutionizing fields like physics and chemistry.
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