Innovating at Cloud Speed for IoT, AI, and Semiconductor Design

被引:0
|
作者
Pellerin, David B. [1 ]
机构
[1] Amazon Web Serv, Seattle, WA 98109 USA
关键词
Cloud; IoT; Electronic Design Automation; Artificial Intelligence;
D O I
10.1145/3194554.3200205
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Rapid adoption and production deployments of connected devices, coupled with AI-driven methods of advanced analytics, have led to an explosion in demand for non-traditional, more scalable computing and data management platforms. This increasing demand is being seen in the public cloud as well as in cloud-connected IoT edge devices. AI is at the heart of many the newest, most advanced analytics and IoT applications, ranging from robotics and autonomous vehicles, to cloud-connected products such as Amazon Alexa, to smart factories and consumer-facing services in the financial and healthcare sectors. This talk presents examples of such use-cases within Amazon, as well examples of how Amazon customers increasingly rely on AI coupled with IoT hardware and software stacks, and use cloud-based EDA to innovate faster, and at cloud scales.
引用
收藏
页码:511 / 511
页数:1
相关论文
共 50 条
  • [1] Innovating across the AI stack for scale and speed
    Khalaf, Rania
    2021 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW), 2021, : 911 - 911
  • [2] Innovating with Language AI
    Ram, Ashwin
    KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2020, : 3611 - 3611
  • [3] IoT, cloud, big data and AI in interdisciplinary domains
    Chen, Yinong
    1600, Elsevier B.V. (102):
  • [4] IoT, cloud, big data and AI in interdisciplinary domains
    Chen, Yinong
    SIMULATION MODELLING PRACTICE AND THEORY, 2020, 102
  • [5] Remote Sensing: Leveraging Cloud IoT and AI/ML Services
    Bennett, Kelly W.
    Robertson, James
    ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS III, 2021, 11746
  • [6] Smart Healthcare System Using IoT, Cloud and AI/ML
    Bajpai A.
    Tolani M.
    Balodi A.
    Journal of Engineering Science and Technology Review, 2023, 16 (06) : 117 - 123
  • [7] Risk Assessment for Emerging Domains (IoT, Cloud Computing, and AI)
    Al Attar, Rama
    Al-Nemri, Joyce
    Homsi, Ahmad
    Qusef, Abdallah
    2021 IEEE JORDAN INTERNATIONAL JOINT CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY (JEEIT), 2021, : 120 - 127
  • [8] A Novel Design of IoT Cloud Delegate Framework to Harmonize Cloud-Scale IoT Services
    Kum, Seung Woo
    Moon, JaeWon
    Lim, Taeboem
    Park, Jong Il
    2015 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2015, : 247 - 248
  • [9] A Face Recognition System Based on Cloud Computing and AI Edge for IOT
    Zeng, Junjie
    Li, Cheng
    Zhang, Liang-Jie
    EDGE COMPUTING - EDGE 2018, 2018, 10973 : 91 - 98
  • [10] From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI
    Ficili, Ilenia
    Giacobbe, Maurizio
    Tricomi, Giuseppe
    Puliafito, Antonio
    SENSORS, 2025, 25 (06)