Google Cloud Vision API
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Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images. You can build metadata on your image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis. Analyze images uploaded in the request or integrate with your image storage on Google Cloud Storage.
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Cloud Vision API allows users to upload images to detect labels, faces, and logos through an integrated REST API. It can detect multiple faces in an image and identify associated attributes, but does not support facial recognition. Users can request different annotation types per image by uploading to the API or integrating with Google Cloud Storage. For any questions, users can email the contact provided.
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본 강연에서는 현실 세계의 미러링인 디지털 트윈의 개념, 동향, 그리고 앞으로 가능성과 한계를 도시와 공간정보 관점에서 조망한다.
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***
본 강연에서는 현실 세계의 미러링인 디지털 트윈의 개념, 동향, 그리고 앞으로 가능성과 한계를 도시와 공간정보 관점에서 조망한다.
통제된 환경이 가능한 제조업에서 많이 활용되던 디지털트윈은 최근 도시관리의 새로운 패러다임으로서 그 가능성을 인정받고 있다. 공간정보 관련 국제표준화기구인 OGC와 buildingSmart가 디지털트윈 구현을 위한 3차원 데이터 표준과 호환 등에 관해 논의하고 있으며, 영국은 국가디지털트윈프로그램(National Digital Twin Programme)을 출범시키고 디지털 트윈을 구현하기 위한 다양한 활동을 진행 중이다. 우리나라 또한 디지털 트윈을 스마트시티에 적용하기 위한 다양한 사업을 진행하고 있다.
현실 세계의 모사라는 디지털 트윈의 성격상 3차원 객체와 공간정보는 디지털 트윈의 구성과 운영에 있어 매우 중요한 역할을 한다. 공간정보 분야에서는 라이다, 드론, 항공측량, 인공위성, BIM(Building Information Modeling) 등의 원천 데이터를 활용하여 3차원 지형지물과 건물 등을 가상세계에 재생해내고 있다. 더불어 센서 가격 하락, 관련 기술의 확산, 인터넷과 5G 등의 연결 등이 더 싸고 더 빠르게 3차원 공간정보를 생산할 수 있는 밑거름으로 작용하고 있다.
하지만, 디지털트윈 기반의 스마트시티는 그 장밋빛 이미지와 달리 쉽지 않은 긴 여정이다. 과대홍보와 과도한 기대, 시스템의 복잡도에 따라 증가하는 디지털트윈 구축과 관리 비용, 사이버 보안 문제, 부족한 인력, 미흡한 표준화와 산업계 협력 등이 디지털트윈 스마트시티 구축의 위험요소로 지적되고 있다. 대표적인 복잡계인 도시문제를 디지털트윈을 통해 관리, 해결하려면 도시와 관련된 여러 특성과 데이터를 이해하는 것이 필수적이다. 디지털트윈의 진정한 가치는 다른 영역과 연계, 융합될 때 발휘되므로, 개별 영역 위주 관점에서 벗어나 통합적 정책과 실행이 필요하다.
[논문리뷰] 딥러닝 적용한 EEG 연구 소개
* 딥러닝을 적용한 EEG 시스템 관련 논문을 간단하게 리뷰합니다.
* EEG에 관련된 대표적인 4가지 패러다임에 대해 소개합니다.
* 광주과학기술원 인공지능 스터디 A-GIST 모임에서 발표했습니다.
* 발표 영상 (한국어, 유튜브): https://youtu.be/gcP2vN41HZw
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Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
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This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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Paper Link: https://eprint.iacr.org/2024/257
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DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
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At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
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The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
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- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
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- Verstehen des DLAU-Tools und wie man es am besten nutzt
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- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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Google Cloud Vision API
- 1. Google Cloud Vision, how your applications can see and understand the world
- 2. +Michel Pereira @michelpereira Cloud Solutions Engineer Google Cloud
- 3. What we’ll cover Machine learning in 5 minutes 30 seconds Large scale neural network on Google Cloud Large-scale neural network for everyone TensorFlow
- 4. Machine learning in 5 minutes 30 seconds
- 6. ConvNets
- 8. Google Brain. Large scale neural network on Google Cloud
- 10. Enterprise Google Cloud is The Datacenter as a Computer
- 11. Jupiter network 10 GbE x 100 K = 1 Pbps Consolidates servers with microsec latency
- 12. Borg No VMs, pure containers 10K - 20K nodes per Cell DC-scale job scheduling CPUs, mem, disks and IO
- 13. 13 Google Cloud + Neural Network = Google Brain
- 14. Large-scale neural network for everyone
- 17. Pre-trained models. No ML skill required REST API: receives images and returns a JSON $2.5 or $5 / 1,000 units (free to try) http://cloud.google.com/vision https://github.com/GoogleCloudPlatform/cloud-vision Cloud Vision API
- 19. Confidential & ProprietaryGoogle Cloud Platform 19 Why Choose Vision API? Moderate inappropriate content Image sentiment analysisInsight from your images Easily detect broad set of objects in your images, from flowers, animals, or transportation to thousands of other object categories commonly found within images. Moderate offensive content from your crowd-sourced images by detecting images with adult or violent content. Understand product logo association using emotional facial attributes, object detection and product logo detection.
- 20. 20 Street nameStreet number Street View Sign Business facade Sign Business name Traffic light Traffic signStreet number
- 23. Confidential & ProprietaryGoogle Cloud Platform 23 ● Google Cloud Vision API provides the broadest set of vision scenarios from one single API 1. Label Detection 2. OCR 3. Explicit Content Detection 4. Facial Detection 5. Landmark Detection 6. Logo Detection ● Integrated: Vision API is integrated with other Google Cloud platform products. ● Easy to use API: Inline image with JSON Response. ● Pay as you go model: Users to pay only for what they use with no upfront commitments. Vision API
- 24. Confidential & ProprietaryGoogle Cloud Platform 24Confidential & ProprietaryGoogle Cloud Platform 24 Demo
- 25. Confidential & ProprietaryGoogle Cloud Platform 25
- 26. Confidential & ProprietaryGoogle Cloud Platform 26
- 27. Confidential & ProprietaryGoogle Cloud Platform 27
- 28. TensorFlow
- 29. The Machine Learning Spectrum TensorFlow Cloud Machine Learning Machine Learning APIs Industry / applications Academic / research
- 30. Google's open source library for machine intelligence tensorflow.org launched in Nov 2015 The second generation Used by many production ML projects What is TensorFlow?
- 31. Summary
- 32. Links & Resources Large Scale Distributed Systems for Training Neural Networks, Jeff Dean and Oriol Vinals Cloud Vision API: cloud.google.com/vision Cloud Speech API: cloud.google.com/speech TensorFlow: tensorflow.org Cloud Machine Learning: cloud.google.com/ml Cloud Machine Learning: demo video
- 33. Thank you!