Submit Search
Upload
Vips 4mar09f
•
Download as ODP, PDF
•
0 likes
•
81 views
G
gueste0f4265f
Follow
draft f of LGM09 talk on vips
Read less
Read more
Technology
Art & Photos
Report
Share
Report
Share
1 of 19
Download now
Recommended
draft e of talk on VIPS for lgm09
Vips 4mar09e
Vips 4mar09e
guest0f52728
Sanjiv Satoor, Sr. Manager, NVIDIA talks about evolution of the modern graphics architectures with a focus on GPUs.
Evolution of the modern graphics architectures with a focus on GPUs | Turing1...
Evolution of the modern graphics architectures with a focus on GPUs | Turing1...
Persistent Systems Ltd.
Dad i want a supercomputer on my next
Dad i want a supercomputer on my next
Akash Sahoo
draft f of LGM09 talk on vips
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of the vips talk for lgm09
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of LGM09 talk on vips
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of the vips talk for lgm09
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
Recommended
draft e of talk on VIPS for lgm09
Vips 4mar09e
Vips 4mar09e
guest0f52728
Sanjiv Satoor, Sr. Manager, NVIDIA talks about evolution of the modern graphics architectures with a focus on GPUs.
Evolution of the modern graphics architectures with a focus on GPUs | Turing1...
Evolution of the modern graphics architectures with a focus on GPUs | Turing1...
Persistent Systems Ltd.
Dad i want a supercomputer on my next
Dad i want a supercomputer on my next
Akash Sahoo
draft f of LGM09 talk on vips
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of the vips talk for lgm09
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of LGM09 talk on vips
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of the vips talk for lgm09
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
Realtimeimageprocessing
Realtimeimageprocessing
Gopi Nath
IA à portée de la main !
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM France Lab
Graphical network Simulator
Gns3
Gns3
Bahaa Aladdin
ISGC2015@Taipei
AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...
Ryousei Takano
Image processing in machine vision is a challenging task because often real-time requirements have to be met in these systems. To accelerate the processing tasks in machine vision and to reduce data transfer latencies, new architectures for embedded systems in intelligent cameras are required. Furthermore, innovative processing approaches are necessary to realize these architectures efficiently. Marching Pixels are such a processing scheme, based on Organic Computing principles, and can be applied for example to determine object centroids in binary or gray-scale images. In this paper, we present a processing pipeline for smart camera systems utilizing such Marching Pixel algorithms. It consists of a buffering template for image pre-processing tasks in a FPGA to enhance captured images and an ASIC for the efficient realization of Marching Pixel approaches. The ASIC achieves a speedup of eight for the realization of Marching Pixel algorithms, compared to a common medium performance DSP platform.
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
sipij
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Romeo Kienzler
Multi Processor Architecture for image processing
Multi Processor Architecture for image processing
ideas2ignite
: In this Paper, A novel architecture for automotive vision using an embedded device will be implemented on ARM9 Board with highly computing capabilities and low processing power. Currently, achieving real-time image processing routines such as convolution, thresholding, edge detection and some of the complex media applications is a challenging task in embedded Device, because of limited memory. An open software framework, Linux OS is used in embedded devices to provide a good starting point for developing the multitasking kernel, integrated with communication protocols, data management and graphical user interface for reducing the total development time. To resolve the problems faced by the image processing applications in embedded Device a new application environment was developed. This environment provides the resources available in the operating system which runs on the hardware with complex image processing libraries. This paper presents the capture of an image from the USB camera, applied to image processing algorithms to Detect Human Upper Body. The application (GUI) Graphical User Interface was designed using Qt and ARM Linux gcc Integrated Development Environment (IDE) for implementing image processing algorithm using Open Source Computer Vision Library (OpenCV). This developed software integrated in mobiles by the cross compilation of Qt and the OpenCV software for Linux Operating system. The result utilized by Viola and Jones Algorithm with Haar Features of the image using OpenCV.
Implementation of embedded arm9 platform using qt and open cv for human upper...
Implementation of embedded arm9 platform using qt and open cv for human upper...
Krunal Patel
39245196 intro-es-iii
39245196 intro-es-iii
Embeddedbvp
Deep learning continues to push the state of the art in domains such as video analytics, computer vision, and speech recognition. Deep networks are powered by amazing levels of representational power, feature learning, and abstraction. This approach comes at the cost of a significant increase in required compute power, which makes the AWS cloud an excellent environment for training. Innovators in this space are applying deep learning to a variety of applications. One such innovator, Vilynx, a startup based in Palo Alto, realized that the current pre-roll advertising-based models for mobile video weren’t returning publishers' desired levels of engagement. In this session, we explain the algorithmic challenges of scaling across multiple nodes, and what Intel is doing on AWS to overcome them. We describe the benefits of using AWS CloudFormation to set up a distributed training environment for deep networks. We also showcase Vilynx’s contributions to video discoverability, and explain how Vilynx uses AWS tools to understand video content. This session is sponsored by Intel.
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
Amazon Web Services
In this deckfrom the 2017 DDN User Group meeting at ISC, Judit Planas, Postdoctoral Researcher at Ecole Polytechnique Federale de Lausanne (EPFL) presents I/O Challenges in Brain Tissue Simulation (IME Neuromapp). Learn more: https://insidehpc.com/2017/08/video-io-challenges-brain-tissue-simulation/ and http://ddn.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
I/O Challenges in Brain Tissue Simulation
I/O Challenges in Brain Tissue Simulation
inside-BigData.com
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Editor IJCATR
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Editor IJCATR
The expanding demand for imaging- and vision-based systems in mobile, IoT and automotive products is making the need for multi camera and sensor fusion systems look for novel ways to gather and process multiple data streams while still fitting into the mobile interface. The CSI-2 protocol allows camera sensor and processed image data to be combined into a single data stream using interleaving, allowing the application processor to extract the image data using the virtual channel or data type information. In this presentation, Richard Sproul of Cadence Design Systems will highlight some of the key details and requirements for a system with image processing of multi camera/sensor systems.
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI Alliance
This implemented DSP system utilizes TCP socket communication. Upon message reception, it decides the appropriate process to be executed based on cases which can be categorized as follows: 1) image capture 2) image transfer 3) image processing 4) sensor calibration A user-friendly MATLAB GUI, named DIPeth, facilitates the system's control.
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
Christopher Diamantopoulos
DIGITAL SIGNAL PROCESSOR MANUFACTURING COMPANIES AND PRODUCT
Assignmentdsp
Assignmentdsp
Amit Kumar
The current paper is mainly about maintaining a secure environment and also free from thefts that are happening in our home. The present paper discusses about the detection of intruders with the help of the various devices and software.. OpenCV(open source computer vision) is the major software that is being used in our present work. For detecting faces we are using various algorithms like Haar cascade, linear SVM, deep neural network etc. The main method that we have proposed in our work is, if any person comes in front of the pi camera, first it will look for potential matches that we have already stored in our system If the module finds a match then it continues to record until any intruder comes. If the face is not recognized then the unknown person’s face will be captured and a snap shot will be sent to the user’s email. The device is developed using Raspberry Pi b+ with 1.4 GHz quad core processor, raspberry pi camera module and a Wireless dongle to communicate with user’s email. OpenCV, Rassberry pi, python
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IJTRET-International Journal of Trendy Research in Engineering and Technology
Jan Jongboom - Run your JS app for years on a coin cell. Presentation given during JSConf.asia 2016 in Singapore about mbed, JerryScript, IoT, Johnny Five and JavaScript.
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Jan Jongboom
Comprehensive study of parallel, cluster, distributed, grid and cloud computing paradigms
Distributed Computing
Distributed Computing
Sudarsun Santhiappan
Linea de scaners y unidades de captura de imagenes, lider mundial de fabricación alemana, image access, wide format scanners http://www.PrintLAT.com http://www.imageaccess.com
Image Access by PrintLAT
Image Access by PrintLAT
PrintLAT
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
2024 May Patch Tuesday
2024 May Patch Tuesday
Ivanti
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation. The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
AnitaRaj43
More Related Content
Similar to Vips 4mar09f
Realtimeimageprocessing
Realtimeimageprocessing
Gopi Nath
IA à portée de la main !
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM France Lab
Graphical network Simulator
Gns3
Gns3
Bahaa Aladdin
ISGC2015@Taipei
AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...
Ryousei Takano
Image processing in machine vision is a challenging task because often real-time requirements have to be met in these systems. To accelerate the processing tasks in machine vision and to reduce data transfer latencies, new architectures for embedded systems in intelligent cameras are required. Furthermore, innovative processing approaches are necessary to realize these architectures efficiently. Marching Pixels are such a processing scheme, based on Organic Computing principles, and can be applied for example to determine object centroids in binary or gray-scale images. In this paper, we present a processing pipeline for smart camera systems utilizing such Marching Pixel algorithms. It consists of a buffering template for image pre-processing tasks in a FPGA to enhance captured images and an ASIC for the efficient realization of Marching Pixel approaches. The ASIC achieves a speedup of eight for the realization of Marching Pixel algorithms, compared to a common medium performance DSP platform.
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
sipij
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Romeo Kienzler
Multi Processor Architecture for image processing
Multi Processor Architecture for image processing
ideas2ignite
: In this Paper, A novel architecture for automotive vision using an embedded device will be implemented on ARM9 Board with highly computing capabilities and low processing power. Currently, achieving real-time image processing routines such as convolution, thresholding, edge detection and some of the complex media applications is a challenging task in embedded Device, because of limited memory. An open software framework, Linux OS is used in embedded devices to provide a good starting point for developing the multitasking kernel, integrated with communication protocols, data management and graphical user interface for reducing the total development time. To resolve the problems faced by the image processing applications in embedded Device a new application environment was developed. This environment provides the resources available in the operating system which runs on the hardware with complex image processing libraries. This paper presents the capture of an image from the USB camera, applied to image processing algorithms to Detect Human Upper Body. The application (GUI) Graphical User Interface was designed using Qt and ARM Linux gcc Integrated Development Environment (IDE) for implementing image processing algorithm using Open Source Computer Vision Library (OpenCV). This developed software integrated in mobiles by the cross compilation of Qt and the OpenCV software for Linux Operating system. The result utilized by Viola and Jones Algorithm with Haar Features of the image using OpenCV.
Implementation of embedded arm9 platform using qt and open cv for human upper...
Implementation of embedded arm9 platform using qt and open cv for human upper...
Krunal Patel
39245196 intro-es-iii
39245196 intro-es-iii
Embeddedbvp
Deep learning continues to push the state of the art in domains such as video analytics, computer vision, and speech recognition. Deep networks are powered by amazing levels of representational power, feature learning, and abstraction. This approach comes at the cost of a significant increase in required compute power, which makes the AWS cloud an excellent environment for training. Innovators in this space are applying deep learning to a variety of applications. One such innovator, Vilynx, a startup based in Palo Alto, realized that the current pre-roll advertising-based models for mobile video weren’t returning publishers' desired levels of engagement. In this session, we explain the algorithmic challenges of scaling across multiple nodes, and what Intel is doing on AWS to overcome them. We describe the benefits of using AWS CloudFormation to set up a distributed training environment for deep networks. We also showcase Vilynx’s contributions to video discoverability, and explain how Vilynx uses AWS tools to understand video content. This session is sponsored by Intel.
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
Amazon Web Services
In this deckfrom the 2017 DDN User Group meeting at ISC, Judit Planas, Postdoctoral Researcher at Ecole Polytechnique Federale de Lausanne (EPFL) presents I/O Challenges in Brain Tissue Simulation (IME Neuromapp). Learn more: https://insidehpc.com/2017/08/video-io-challenges-brain-tissue-simulation/ and http://ddn.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
I/O Challenges in Brain Tissue Simulation
I/O Challenges in Brain Tissue Simulation
inside-BigData.com
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Editor IJCATR
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Editor IJCATR
The expanding demand for imaging- and vision-based systems in mobile, IoT and automotive products is making the need for multi camera and sensor fusion systems look for novel ways to gather and process multiple data streams while still fitting into the mobile interface. The CSI-2 protocol allows camera sensor and processed image data to be combined into a single data stream using interleaving, allowing the application processor to extract the image data using the virtual channel or data type information. In this presentation, Richard Sproul of Cadence Design Systems will highlight some of the key details and requirements for a system with image processing of multi camera/sensor systems.
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI Alliance
This implemented DSP system utilizes TCP socket communication. Upon message reception, it decides the appropriate process to be executed based on cases which can be categorized as follows: 1) image capture 2) image transfer 3) image processing 4) sensor calibration A user-friendly MATLAB GUI, named DIPeth, facilitates the system's control.
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
Christopher Diamantopoulos
DIGITAL SIGNAL PROCESSOR MANUFACTURING COMPANIES AND PRODUCT
Assignmentdsp
Assignmentdsp
Amit Kumar
The current paper is mainly about maintaining a secure environment and also free from thefts that are happening in our home. The present paper discusses about the detection of intruders with the help of the various devices and software.. OpenCV(open source computer vision) is the major software that is being used in our present work. For detecting faces we are using various algorithms like Haar cascade, linear SVM, deep neural network etc. The main method that we have proposed in our work is, if any person comes in front of the pi camera, first it will look for potential matches that we have already stored in our system If the module finds a match then it continues to record until any intruder comes. If the face is not recognized then the unknown person’s face will be captured and a snap shot will be sent to the user’s email. The device is developed using Raspberry Pi b+ with 1.4 GHz quad core processor, raspberry pi camera module and a Wireless dongle to communicate with user’s email. OpenCV, Rassberry pi, python
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IJTRET-International Journal of Trendy Research in Engineering and Technology
Jan Jongboom - Run your JS app for years on a coin cell. Presentation given during JSConf.asia 2016 in Singapore about mbed, JerryScript, IoT, Johnny Five and JavaScript.
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Jan Jongboom
Comprehensive study of parallel, cluster, distributed, grid and cloud computing paradigms
Distributed Computing
Distributed Computing
Sudarsun Santhiappan
Linea de scaners y unidades de captura de imagenes, lider mundial de fabricación alemana, image access, wide format scanners http://www.PrintLAT.com http://www.imageaccess.com
Image Access by PrintLAT
Image Access by PrintLAT
PrintLAT
Similar to Vips 4mar09f
(20)
Realtimeimageprocessing
Realtimeimageprocessing
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & Power
Gns3
Gns3
AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Multi Processor Architecture for image processing
Multi Processor Architecture for image processing
Implementation of embedded arm9 platform using qt and open cv for human upper...
Implementation of embedded arm9 platform using qt and open cv for human upper...
39245196 intro-es-iii
39245196 intro-es-iii
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
I/O Challenges in Brain Tissue Simulation
I/O Challenges in Brain Tissue Simulation
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
Assignmentdsp
Assignmentdsp
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Distributed Computing
Distributed Computing
Image Access by PrintLAT
Image Access by PrintLAT
Recently uploaded
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
2024 May Patch Tuesday
2024 May Patch Tuesday
Ivanti
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation. The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
AnitaRaj43
Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
中 央社
In this session, we will discuss the journey of API governance from its initial, ungoverned state to the development of sophisticated models that tackle contemporary challenges. We'll explore how APIs have become essential in the intersection of business and technology, adapting to advancements and evolving needs. We'll focus on how organizations have moved from launching to monetizing APIs, using models like pay-per-use and subscriptions, and finding the right balance between technical implementation and business strategy. We'll also highlight the impact of governance on monetization strategies, especially how data security, compliance, and service quality influence pricing. Real-world examples will demonstrate the effective integration of governance with monetization, including AI's role in dynamic pricing. Looking ahead, we'll share insights into future trends in API governance and monetization, emphasizing the importance of adaptability, continuous learning, and innovation.
API Governance and Monetization - The evolution of API governance
API Governance and Monetization - The evolution of API governance
WSO2
DBX 1Q24 Investor Presentation
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Dropbox
In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
WSO2
FIDO Seminar RSAC 2024
Introduction to FIDO Authentication and Passkeys.pptx
Introduction to FIDO Authentication and Passkeys.pptx
FIDO Alliance
Platform Engineering vs SRE discussion and lessons learnt.
Working together SRE & Platform Engineering
Working together SRE & Platform Engineering
Marcus Vechiato
UXPA Boston presentation by Leigh Ann Caulfield and Caitlin Gebhard, BORN Group.
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
caitlingebhard1
Key topics covered: - Real-world examples of Choreo's comprehensive coverage from application design and deployment, security, scaling, and monitoring - Running different types of workloads, such as web applications, APIs, microservices, integrations, and tasks at scale, and wire them together to deliver seamless omnichannel digital experiences - How Choreo improves the developer experience by eliminating repetition, silos, and redundancy through enhanced discoverability and self-serviceability
Choreo: Empowering the Future of Enterprise Software Engineering
Choreo: Empowering the Future of Enterprise Software Engineering
WSO2
FIDO Seminar RSAC 2024
ADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptx
FIDO Alliance
Are you interested to learn how technology can help to optimise the performance of commercial buildings on the route to net-zero? Join us to uncover how our digital twin technology can be utilised by building owners and occupiers to optimise operational building performance and improve energy efficiency before and after implementing net-zero retrofit measures.
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational Performance
IES VE
In the dynamic field of DevOps, the quest for efficiency and productivity is endless. This talk introduces a revolutionary toolkit: Large Language Models (LLMs), including ChatGPT, Gemini, and Claude, extending far beyond traditional coding assistance. We'll explore how LLMs can automate not just code generation, but also transform day-to-day operations such as crafting compelling cover letters for TPS reports, streamlining client communications, and architecting innovative DevOps solutions. Attendees will learn effective prompting strategies and examine real-life use cases, demonstrating LLMs' potential to redefine productivity in the DevOps landscape. Join us to discover how to harness the power of LLMs for a comprehensive productivity boost across your DevOps activities.
ChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps Productivity
VictorSzoltysek
FIDO Seminar RSAC 2024
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
FIDO Alliance
Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2
Mobile accessibility can be a very difficult space to navigate. Let's make it easier to dive right in! From common terms, breakdown of application accessibility, and building up accessibility on mobile development teams, this session will help build the foundation to ensure your mobile applications are accessible.
Simplifying Mobile A11y Presentation.pptx
Simplifying Mobile A11y Presentation.pptx
MarkSteadman7
Discuss the core tradeoffs and considerations involved in order-free and ordered stream processing. Brian Taylor walks through the pros and cons of three different approaches: no data dependency, deferred inter-event data dependency, and streaming inter-event data dependency.
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream Processing
ScyllaDB
In the digital age, accessing information has become increasingly convenient, and this holds true for checking CNIC (Computerized National Identity Card) information online.
How to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cf
danishmna97
The integration landscape is changing rapidly with the introduction of technologies like GraphQL, gRPC, stream processing, iPaaS, and platformless. However, not all existing applications and industries can keep up with these new technologies. Certain industries, like manufacturing, logistics, and finance, still rely on well-established EDI-based message formats. Some applications use XML or CSV with file-based communications, while others have strict on premises deployment requirements. This talk focuses on how Ballerina's built-in integration capabilities can bridge the gap between "old" and "new" technologies, modernizing enterprise applications without disrupting business operations.
Modernizing Legacy Systems Using Ballerina
Modernizing Legacy Systems Using Ballerina
WSO2
Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Recently uploaded
(20)
2024 May Patch Tuesday
2024 May Patch Tuesday
AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
API Governance and Monetization - The evolution of API governance
API Governance and Monetization - The evolution of API governance
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
Introduction to FIDO Authentication and Passkeys.pptx
Introduction to FIDO Authentication and Passkeys.pptx
Working together SRE & Platform Engineering
Working together SRE & Platform Engineering
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Choreo: Empowering the Future of Enterprise Software Engineering
Choreo: Empowering the Future of Enterprise Software Engineering
ADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptx
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational Performance
ChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps Productivity
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
Simplifying Mobile A11y Presentation.pptx
Simplifying Mobile A11y Presentation.pptx
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream Processing
How to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cf
Modernizing Legacy Systems Using Ballerina
Modernizing Legacy Systems Using Ballerina
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Vips 4mar09f
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
GUI
15.
16.
GUI
17.
18.
19.
Download now
![VIPS: An Image Processing Library for Large, and Not So Large, Images ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Presented by Nicolas Robidoux LGM Montreal, 2009 http://www.vips.ecs.soton.ac.uk](https://image.slidesharecdn.com/vips-4mar09f-090414084913-phpapp02/85/Vips-4mar09f-1-320.jpg)
![Introduction ,[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)