莱迪思博客

sensAI 2.0 Blog

Lattice sensAI Delivers 10x Performance Boost for AI on Edge Devices

Posted 05/20/2019 by Hussein Osman

A year ago we launched the Lattice sensAI solutions stack. Since then, the need for AI at the Edge has continued to grow. Consider this statistic from Tractica: by 2025 the market for Edge-based AI chipsets is forecasted to hit $51.6 billion (that’s over three times their forecasted revenues for cloud-based AI chips). Why all the interest in chips that support AI at the Edge?

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Architecting Low Power AI

终端AI的系统架构选择

Posted 11/14/2018 by Deepak Boppana

低功耗特性何时才能成为致胜的决定因素?当然是在设计网络边缘设备上实时在线的AI推理解决方案时。在此情况下,功耗必须低至毫瓦级别。试想一下:网络边缘AI可以解决现实生活中的各种问题,它将变得无处不在。

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Home is where AI is

有AI,才有家

Posted 09/04/2018 by Hussein Osman

在不久的将来,大多数家庭都将拥有Siri、Alexa和Google Home和其他类似的智能家居设备。而很多家庭这三样统统都有了。接纳如此复杂的人工智能系统作为日常居家生活的一部分,正是人们想象、构思、创新、实验……

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Mobile-Influenced FPGAs Going Broad

移动FPGA舞台愈发广阔

Posted 04/17/2018 by Hussein Osman

智能网络边缘解决方案实施起来非常复杂,为设计工程师带来诸多挑战,比如在各类应用中实现新接口和传统接口的互连。比如,有的应用要求计算引擎能够以低功耗、低成本收集并处理数据。

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Neural Networks at the Edge

实现网络边缘人工神经网络应用

Posted 07/05/2017 by Hussein Osman

想象一下可以区分入侵者和邻居家小狗的私人安全系统,可以扫描房间并在没有人的情况下自动关闭的智能电视以及可以在犯罪发生之前进行侦查分析和可疑行为识别的摄像头。网络边缘人工神经网络应用的潜力无限。

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Distributed-Heterogeneous-Processing

分布式异构处理为FPGA打开全新的应用领域

Posted 12/20/2016 by Abdullah Raouf

传感器的成本不断降低,同时市场对于更高性能I/O接口以及“实时在线、实时感知”功能的需求越来越高,这对电池供电移动设备的设计者提出了新的挑战。从手机、无人机、可穿戴产品到工业设备领域,工程师们面临着同样的问题。

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