Liquid AI是一家基于液体神经网络设计开发人工智能模型的初创公司，由MIT计算机科学与人工智能实验室主任Daniela Rus联合创立。该公司致力于将其对液体神经网络的研究商业化，实现比传统模型更可靠地执行某些任务，且功耗显著降低。
据SiliconANGLE报道，Liquid AI获得3760万美元的种子资金，由OSS Capital和PagsGroup领投，估值达3.03亿美元。此次融资将用于继续研发和改进其基于液体神经网络的人工智能模型，以扩大其应用范围并提升性能。
Liquid AI的技术可应用于各种领域，如自然语言处理、计算机视觉、推荐系统等，相较于传统人工智能模型，Liquid AI能够更高效地执行任务且节能。随着人工智能市场的迅速发展，Liquid AI有望成为该领域的重要参与者。
新闻翻译（英文）：
Liquid AI, an AI startup based on liquid neural networks, has secured $37.6 million in seed funding. Liquid AI was founded by Daniela Rus, former director of the MIT Computer Science and Artificial Intelligence Laboratory. The company aims to commercialize its research on liquid neural networks, which can perform certain tasks more reliably than traditional models and significantly reduce power consumption.
According to SiliconANGLE, Liquid AI has received $37.6 million in seed funding, led by OSS Capital and PagsGroup, with a valuation of $303 million. The funds will be used to continue R&D and improve the AI models based on liquid neural networks, expanding their application scope and improving performance.
Liquid AI’s technology can be applied to various fields, such as natural language processing, computer vision, and recommendation systems. Compared to traditional AI models, Liquid AI can execute tasks more efficiently and save energy. With the rapid development of the AI market, Liquid AI is expected to become an important player in the field.
【来源】https://siliconangle.com/2023/12/06/liquid-ai-raises-37-6m-build-liquid-neural-networks/
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