GTC 2017 オートモーティブ最新情報
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This document summarizes an NVIDIA presentation about their DriveWorks software development kit for autonomous driving applications. The presentation discusses how DriveWorks provides APIs, samples, and tools to help developers build, train, and deploy neural networks for tasks like perception, localization and control. It also introduces the DRIVE PX 2 platform for autonomous vehicles, which uses DriveWorks, CUDA and other NVIDIA technologies to power DNNs and autonomous driving functions. Videos are included demonstrating sample DNNs for tasks like object detection and lane finding running on the DRIVE PX 2 hardware.
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This session will provide an overview of the new Qualcomm® Snapdragon™ Automotive Development Platform (ADP), which offers the multiple, integrated capabilities of optimized Qualcomm Technologies, Inc., production-grade solutions in a single-board platform. The ADP enables rapid development, testing and deployment of next-generation infotainment apps and experiences for the emerging connected car opportunity. Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc.
Watch this presentation on YouTube:
https://www.youtube.com/watch?v=RMF3AQon3NU
End to End Machine Learning Open Source Solution Presented in Cisco Developer...
The RAPIDS suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. Licensed under Apache 2.0, RAPIDS is incubated by NVIDIA® based on extensive hardware and data science science experience. RAPIDS utilizes NVIDIA CUDA® primitives for low-level compute optimization, and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.
GTC World Tour 2017 highlights
Summary of the Highlights and Announcements that we made at each GTC as part of our world tour September-December 2017
Webinar: NVIDIA JETSON – A Inteligência Artificial na palma de sua mão
Objetivo do Webinar: Venha saber como a plataforma NVIDIA Jetson e suas ferramentas habilitam você a desenvolver e implantar robôs, drones, aplicativos de IVA e outras máquinas autônomas com tecnologia AI que pensam por conta própria.
Apoio: Arrow e NVIDIA.
Convidado: Marcel Saraiva
Gerente de Contas Enterprise da NVIDIA, executivo com 20 anos de expereincia no mercado de TI, teve na sua carreia passagens pela SGI (Silicon Graphics), Intel e Scansource. Engenheiro eletrico formado pela FEI, com pós-graduação em Marketing pela FAAP e MBA em Gestão Empresarial pela FGV.
Link para o Webinar: https://www.embarcados.com.br/webinars/nvidia-jetson-a-inteligencia-artificial-na-palma-de-sua-mao/
“Streamlining Development of Edge AI Applications,” a Presentation from NVIDIA
“Streamlining Development of Edge AI Applications,” a Presentation from NVIDIAEdge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/streamlining-development-of-edge-ai-applications-a-presentation-from-nvidia/
Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit.
Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this session, you will learn how NVIDIA makes it easier for developers to build, deploy, maintain and manage embedded edge products.
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The document discusses NVIDIA's efforts to harness virtual reality and AI for scientific applications. It summarizes NVIDIA's development of GPUs, CPUs, and DPUs to rearchitect data centers for AI workloads. It also discusses several AI tools and frameworks developed by NVIDIA, including simulations, digital twins, virtual worlds, AI assistants, and tools for industries like climate science, robotics, and autonomous systems.
Open Network Edge Services Software for 5G and Edge
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Explore how to build a unified framework based on FFmpeg and GStreamer to enable video analytics on all Intel® hardware, including CPUs, GPUs, VPUs, FPGAs, and in-circuit emulators.
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The document provides information on the Big Data Europe Integrator Platform release, including its goals of being open source, easy to use, supporting various use cases, and embracing emerging big data technologies. It describes the platform architecture, supported frameworks, features like the development environment and administrator interface, and how it provides platform installation, usage instructions, and integrating custom components. Example pilot use cases are also listed covering domains like health, food, energy, transport, climate, social sciences, and security.
Rosella reference design architecture v 0.1
I am pleased to release the first version of the Rosella Reference Design Architecture and Applications document outlining requirements necessary to address the deployment of Rosella edge computing smart infrastructure platform with focus on the Parking Guidance Application (PGA)
2020 mobile-computing-solutions-product-selection-guide
This document provides a product selection guide for 2020 from Mobile Computing Solutions. It highlights NEXCOM's solutions for various vertical industry applications, including public transit, logistics, first response vehicles, and autonomous driving. The guide showcases NEXCOM's product lines for rugged vehicle, railway, and edge computing and provides an overview of key technologies like 5G, AI acceleration, and flexible connectivity options to meet customer needs.
DataArt
A talk on reducing costs & increasing efficiencies by designing, testing & engineering in simulation first, plus examples of robotics & environmental capability.
Azure Overview
Microsoft Azure is a leader in 4 Gartner Magic Quadrants and has the largest global footprint of any cloud platform. It provides infrastructure as a service (IaaS), platform as a service (PaaS) and cloud services across computing, networking, storage, data, analytics and more. Azure allows developers to build, deploy and manage applications through tools and services like Visual Studio, SQL Database, Web Apps, and Machine Learning.
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HPC 的に H100 は魅力的な GPU なのか？
2022 年 12 月 8 日 (木) に開催した「NVIDIA 冬の HPC Weeks - Week 2」にて、NVIDIA 成瀬が講演した「HPC 的に H100 は魅力的な GPU なのか？」のスライドです。
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2022 年 11 月 19 日 (火) に開催した「NVIDIA 冬の HPC Weeks - Week 1」にて、NVIDIA 佐々木が講演した「NVIDIA cuQuantum SDK による量子回路シミュレーターの高速化」のスライドです。
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20221021_JP5.0.2-Webinar-JP_Final.pdf
JetPack 5.0.2 Deep Dive Presentation File.
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NVIDIA Modulus: Physics ML 開発のためのフレームワーク
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[講演者]
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エヌビディア合同会社
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+++++++++++++++++++++
1. 主要なアナウンスメント
• vRAN/AI - Mavenir とのジョイント ソリューション
• デジタルツイン – Ericsson の開発事例
• ゼロトラスト セキュリティ – DPU & DOCA + Morpheus
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3. エッジ コンピューティング
4. AI-on-5G
5. 通信への AI 適用
+++++++++++++++++++++
テレコムのビッグデータ解析 & AI サイバーセキュリティ
NVIDIA にて Telco AI および 5G/B5G 領域のデベロッパーリレーションズ兼エバンジェリストをつとめる野⽥真が、ビッグデータ解析と AI サイバーセキュリティについてまとめました。ぜひご一読ください。
必見！絶対におすすめの通信業界セッション 5 つ ～秋の GTC 2020～
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講演タイトル
「プロフェッショナルAI×Roboticsエンジニアへのロードマップ
」
株式会社 アールティ 代表取締役 中川 友紀子 様
2020年10月29日 Jetson活用によるAI教育
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講演タイトル
「Jetson活用によるAI教育」
エヌビディア 合同会社 オートノマスマシン事業部
ビジネスデベロップメントマネジャー 大岡 正憲
2020年10月29日 Jetson Nano 2GBで始めるAI x Robotics教育
2020年10月29日 開催 Jetson Education Program Webinar
講演タイトル
「Jetson Nano 2GBで始めるAI x Robotics教育」
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COVID-19 研究・対策に活用可能な NVIDIA ソフトウェアと関連情報
8 月 6 日 (木) 開催 Webinar
AI / HPC が切り拓く COVID-19 研究最前線 ～予防・治療から社会変容への対応まで～
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山田 泰永
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Jetson Xavier NX クラウドネイティブをエッジに
AIエッジデバイスのクラウドネイティブ技術が今後の道筋です。
NVIDIA Jetsonがどのようにしてクラウドネイティブの変革をAIエッジデバイにもたらしているかをご紹介します。
複数のコンテナー化されたアプリケーションとAIモデルを同時に実行するJetsonの能力を紹介する詳細なデモを取り上げます。
このウェビナーでは、以下の内容を取り上げます。
1. コンテナーを構築して Jetson でデプロイする方法
2. マイクロサービスアーキテクチャ、コンテナー化、オーケストレーションにより、クラウドアプリケーションがモノリシックなソフトウェアワークフローの制約から逃れることができるようになった方法についての洞察
3. エッジにクラウドネイティブ統合を含めるJetsonファミリーが提供する最新の機能の詳細
NVIDIA Jetsonのクラウドネイティブ技術については下記をご参照ください。
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Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
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Gursev Pirge, PhD
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My presentation slides I used at JavaLand 2024
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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GTC 2017 オートモーティブ最新情報
- 1. 室河 徹 ソリューション アーキテクト (オートモーティブ) NVIDIA GTC 2017 オートモーティブ最新情報
- 10. NVIDIA BOOTH @ EXHIBITION HALL
- 14. Video PACCAR
- 17. Automotive Talks @ room 210D
- 18. Dennis Lui, Miguel Sainz, Gaurav Agarwal 8th May 2017 DRIVEWORKS
- 19. 19 Modular Scalable Optimized for GPU Rapid prototyping & production DESIGN PHILOSOPHY APIs (> 450 AND GROWING) USE CASES DRIVEWORKS — SOFTWARE DEVELOPMENT KIT (SDK) Autonomous Driving Data Data Acquisition
- 20. DRIVE PLATFORM WITH DRIVEWORKS DriveWorks CUDA, CuDNN, TensorRT NVMedia DRIVE PX 2 — System Software DRIVE PX 2 — System Hardware Vehicle Control DNNs and Autonomous Driving Applications Sensors HD Maps
- 21. 21 HD MAP API GPS PATHTOP VIEWMAP OVERVIEW Overview of complete map data Car driving along the GPS path Top view of the current location
- 22. 22 PERCEPTION DNN SAMPLES Deep Neural Networks DriveNet LaneNet OpenRoadNet Lane Detection Multi-class detection: Cars, Trucks, Pedestrian, Bicycles/Motorcycles, Traffic Signs* Freespace Detection
- 23. Video: Multi-class Object Detector
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