Liquid AI, a startup specializing in artificial intelligence (AI) models based on liquid neural networks, has successfully raised $37.6 million in seed funding. The investment was led by OSS Capital and PagsGroup, with participation from Samsung Electronics, Automattic, Bob Young (co-founder of Red Hat), and several other backers. The funding round was reportedly closed at a valuation of $303 million.
Liquid AI was founded earlier this year by CEO Daniela Rus, who serves as a director at the MIT Computer Science and Artificial Intelligence Laboratory. The company aims to commercialize the research conducted by Rus and her team into liquid neural networks. These innovative AI models are capable of performing tasks with greater reliability and consuming significantly less power than traditional models.
Typically, AI models consist of artificial neurons, which are small sections of code responsible for carrying out specific tasks. The behavior of these neurons is determined by equations that vary across different neural networks. What sets liquid neural networks apart is their ability to modify and adapt these equations, as well as the interactions between neurons. This adaptability makes liquid neural networks more flexible and versatile compared to their counterparts.
One significant advantage of liquid neural networks is their ability to adapt to new scenarios. Unlike traditional models, which can only perform pre-defined tasks they were trained for, liquid neural networks excel at handling new situations. This adaptability reduces the risk of processing errors and enhances overall performance.
The efficiency of liquid neural networks is another factor driving their appeal. These networks require fewer neurons and configuration settings, resulting in reduced infrastructure requirements. Moreover, the simplified structure of liquid AI models makes it easier for researchers to understand how the neurons interact, enabling better analysis and decision evaluation.
To leverage its recent funding, Liquid AI plans to develop commercial foundation models and launch a platform that enables customers to build their own liquid neural networks. The company currently employs 12 individuals and aims to hire eight more employees in the coming months to support its go-to-market efforts.
As the demand for AI continues to grow, Liquid AI’s liquid neural networks present an exciting and promising development in the field. With their enhanced adaptability, efficiency, and transparency, these networks open up new possibilities for AI applications across industries.
In summary, Liquid AI has secured $37.6 million in funding to advance its liquid neural network technology. With the support of prominent investors, the company aims to revolutionize AI models by offering enhanced adaptability, efficiency, and transparency. This funding will enable Liquid AI to develop foundational models and launch a platform for customers to create their own liquid neural networks, marking a significant step forward in the AI industry.
