New Synaptics-Google Collaboration Boosts AI Innovation for Wearables and Smart Devices
New Synaptics-Google Collaboration Boosts AI Innovation for Wearables and Smart Devices
Synaptics Incorporated (NASDAQ:SYNA) today announced that it is collaborating with Google on Edge AI for the IoT to define the optimal implementation of multimodal processing for context-aware computing. The collaboration will integrate Google's MLIR-compliant ML core on the Synaptics Astra hardware with open-source software and tools. The combination will accelerate the development of AI devices for the IoT that support the processing of vision, image, voice, sound, and other modalities that provide context for seamless interactivity in applications such as wearables, appliances, entertainment, embedded hubs, monitoring, and control across consumer, enterprise, and industrial systems.
Synaptics公司(纳斯达克:SYNA)今天宣布与谷歌合作,在物联网边缘人工智能领域定义多模态处理的最佳实现方案,以支持上下文感知计算。该合作将把谷歌的MLIR兼容ML核心集成到Synaptics Astra硬件上,并结合开源软件和工具。这个组合将加速物联网AI设备的开发,支持对视觉、图像、语音、声音及其他模态的处理,以便为可穿戴设备、家电、娱乐、嵌入式中心、监控以及跨消费、企业和工业系统的控制等应用提供无缝交互的上下文。
The Synaptics Astra AI-Native compute platform for the IoT combines scalable, low-power compute silicon for the device Edge with open-source, easy-to-use software and tools, a strong partner ecosystem, and wireless connectivity. The platform builds upon Synaptics' foundation in neural networks, field-hardened AI hardware and compiler design expertise for the IoT, and refined, in-house support of a broad base of modalities. Google's ML core is a highly efficient open-source machine learning (ML) core that is compliant with the multi-level intermediate representation (MLIR) compiler.
针对物联网的Synaptics Astra人工智能本地计算平台结合了可扩展的低功耗计算硅片与开源、易于使用的软件和工具、强大的合作伙伴生态系统,以及无线连接。该平台以Synaptics在神经网络、经过现场测试的人工智能硬件和编译器设计专业知识为基础,经过精细化的内部支持,涵盖广泛的模态。谷歌的机器学习核心是一个高度高效的开源机器学习核心,符合多级中间表示(MLIR)编译器标准。