Object Recognition: Fourier Descriptors and Minimum-Distance Classification
•Download as PPTX, PDF•
1 like•2,362 views
Discusses an object recognition system I developed using minimum-distance classification of Fourier descriptors.
Report
Share
Report
Share
Recommended
Id3
The document presents an overview of the ID3 algorithm for decision tree learning. It introduces the ID3 algorithm, provides examples to illustrate how it works, and defines key concepts like entropy and information gain used in decision tree learning. The session objectives are to introduce the ID3 algorithm, demonstrate how it works through examples, and explain entropy, information gain, and issues involved in decision tree learning. Assignments related to decision tree representation, problems suited to decision trees, basic algorithms and search techniques are also mentioned.
5 raii
The document is a presentation on pointers and RAII in C++. It covers topics like pointers, dynamic allocation, exceptions, copying/assignment/destruction, RAII, and smart pointers. For pointers, it discusses how they store addresses and can be used to access and modify values indirectly. Dynamic allocation using new/delete is covered, noting objects persist until deleted. Exceptions are introduced as a non-ignorable signal for errors. Copying/assigning classes requires special constructor and operator functions. RAII ties resource acquisition to object lifetime through constructor/destructor. Finally, smart pointers like unique_ptr and shared_ptr are presented as safer alternatives to raw pointers.
Online outreach and inreach
This document discusses strategies for online outreach and inreach for churches. It addresses contemplating the primary audience and goals for a church website, tools for website construction and content management, coordinating fresh content from various creators, collecting visitor information and feedback, and regularly reviewing site performance. For inreach, it explores using social networks like Facebook and Twitter to strengthen relationships and keep the congregation connected between services. It provides examples of how churches have successfully utilized these online tools to share news, events and deepen engagement with both visitors and members.
Ip
The document discusses different methods for representing and describing regions in digital images, including:
1) Representing regions based on their external (boundary) or internal (region) characteristics.
2) Describing regions based on selected representations like boundary or textural features.
3) Following boundaries as an ordered sequence of points using algorithms like Moore boundary tracking.
Dccn ppt
The document presents information on ZigBee, a wireless networking standard. ZigBee is designed for low-cost, low-power wireless mesh networks for applications like wireless light switches, sensors, and industrial equipment. It operates on frequencies of 2.4GHz, 915MHz, and 868MHz and can transmit data at rates up to 250kbps. ZigBee networks consist of coordinator devices, router devices, and low-cost end devices and use 128-bit encryption for security. The standard supports mesh networking and is useful for applications requiring low data rates and long battery life.
Zigbee technology ppt edited
ZigBee is a wireless networking standard focused on low-cost, low-power consumption devices for monitoring and control applications. It uses the IEEE 802.15.4 standard for the physical and MAC layers and provides data rates from 20-250kbps depending on frequency band. ZigBee networks can support hundreds of devices with flexible star, peer-to-peer, or cluster tree topologies and address devices using short or IEEE addresses. The technology is well-suited for wireless control in industrial, commercial, and home automation applications where low data rates and power usage are priorities.
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDB
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDB
Many startups collect and display stats and other time-series data for their users. A supposedly-simple NoSQL option such as MongoDB is often chosen to get started... which soon becomes 50 distributed replica sets as volume increases. This talk describes how we designed a scalable distributed stats infrastructure from the ground up. KairosDB, a rewrite of OpenTSDB built on top of Cassandra, provides a solid foundation for storing time-series data. Unfortunately, though, it has some limitations: millisecond time granularity and lack of atomic upsert operations which make counting (critical to any stats infrastructure) a challenge. Additionally, running KairosDB atop Cassandra inside AWS brings its own set of challenges, such as managing Cassandra seeds and AWS security groups as you grow or shrink your Cassandra ring. In this deep-dive talk, we explore how we've used a mix of open-source and in-house tools to tackle these challenges and build a robust, scalable, distributed stats infrastructure.
Cody A. Ray DEXA Report 3/21/2013
This document contains the results of three body composition analyses for a patient named Ray Cody conducted on September 7, 2011, November 7, 2011, and March 20, 2013. It includes measurements of total body weight, lean mass, fat mass, and body fat percentage, as well as breakdowns of these measurements by body regions. Graphs and tables show changes over time in weight, body fat distribution, and other metrics. The document also defines terms like fat mass index and android-to-gynoid ratio and provides context on interpreting the results.
Recommended
Id3
The document presents an overview of the ID3 algorithm for decision tree learning. It introduces the ID3 algorithm, provides examples to illustrate how it works, and defines key concepts like entropy and information gain used in decision tree learning. The session objectives are to introduce the ID3 algorithm, demonstrate how it works through examples, and explain entropy, information gain, and issues involved in decision tree learning. Assignments related to decision tree representation, problems suited to decision trees, basic algorithms and search techniques are also mentioned.
5 raii
The document is a presentation on pointers and RAII in C++. It covers topics like pointers, dynamic allocation, exceptions, copying/assignment/destruction, RAII, and smart pointers. For pointers, it discusses how they store addresses and can be used to access and modify values indirectly. Dynamic allocation using new/delete is covered, noting objects persist until deleted. Exceptions are introduced as a non-ignorable signal for errors. Copying/assigning classes requires special constructor and operator functions. RAII ties resource acquisition to object lifetime through constructor/destructor. Finally, smart pointers like unique_ptr and shared_ptr are presented as safer alternatives to raw pointers.
Online outreach and inreach
This document discusses strategies for online outreach and inreach for churches. It addresses contemplating the primary audience and goals for a church website, tools for website construction and content management, coordinating fresh content from various creators, collecting visitor information and feedback, and regularly reviewing site performance. For inreach, it explores using social networks like Facebook and Twitter to strengthen relationships and keep the congregation connected between services. It provides examples of how churches have successfully utilized these online tools to share news, events and deepen engagement with both visitors and members.
Ip
The document discusses different methods for representing and describing regions in digital images, including:
1) Representing regions based on their external (boundary) or internal (region) characteristics.
2) Describing regions based on selected representations like boundary or textural features.
3) Following boundaries as an ordered sequence of points using algorithms like Moore boundary tracking.
Dccn ppt
The document presents information on ZigBee, a wireless networking standard. ZigBee is designed for low-cost, low-power wireless mesh networks for applications like wireless light switches, sensors, and industrial equipment. It operates on frequencies of 2.4GHz, 915MHz, and 868MHz and can transmit data at rates up to 250kbps. ZigBee networks consist of coordinator devices, router devices, and low-cost end devices and use 128-bit encryption for security. The standard supports mesh networking and is useful for applications requiring low data rates and long battery life.
Zigbee technology ppt edited
ZigBee is a wireless networking standard focused on low-cost, low-power consumption devices for monitoring and control applications. It uses the IEEE 802.15.4 standard for the physical and MAC layers and provides data rates from 20-250kbps depending on frequency band. ZigBee networks can support hundreds of devices with flexible star, peer-to-peer, or cluster tree topologies and address devices using short or IEEE addresses. The technology is well-suited for wireless control in industrial, commercial, and home automation applications where low data rates and power usage are priorities.
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDB
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDB
Many startups collect and display stats and other time-series data for their users. A supposedly-simple NoSQL option such as MongoDB is often chosen to get started... which soon becomes 50 distributed replica sets as volume increases. This talk describes how we designed a scalable distributed stats infrastructure from the ground up. KairosDB, a rewrite of OpenTSDB built on top of Cassandra, provides a solid foundation for storing time-series data. Unfortunately, though, it has some limitations: millisecond time granularity and lack of atomic upsert operations which make counting (critical to any stats infrastructure) a challenge. Additionally, running KairosDB atop Cassandra inside AWS brings its own set of challenges, such as managing Cassandra seeds and AWS security groups as you grow or shrink your Cassandra ring. In this deep-dive talk, we explore how we've used a mix of open-source and in-house tools to tackle these challenges and build a robust, scalable, distributed stats infrastructure.
Cody A. Ray DEXA Report 3/21/2013
This document contains the results of three body composition analyses for a patient named Ray Cody conducted on September 7, 2011, November 7, 2011, and March 20, 2013. It includes measurements of total body weight, lean mass, fat mass, and body fat percentage, as well as breakdowns of these measurements by body regions. Graphs and tables show changes over time in weight, body fat distribution, and other metrics. The document also defines terms like fat mass index and android-to-gynoid ratio and provides context on interpreting the results.
Cognitive Modeling & Intelligent Tutors
A review of cognitive modeling and intelligent tutors. Presentation based on three papers, summarized below.
The base paper reports on an experiment of intelligent tutoring in three urban high schools in Pittsburgh. An intelligent tutor has been made a part of 9th grade algebra, accompanying a new algebra curriculum focused on mathematical analysis of real world situations and the use of computations tools. The 470 students in experimental classes outperformed students in comparison classes by 15% on standardized tests and 100% on tests targeting the PUMP objectives. The first auxiliary paper by Anderson describes the cognitive basis for intelligent tutors, from theory to model-tracing methodology, to issues that arise in implementation. The second auxiliary paper by VanLehn describes the lessons learned in developing and testing a cognitive tutor for physics at the U.S. Naval Academy. In particular, this system was designed to run as part of a course with minimal invasion of curricular design. Interestingly, the intelligent tutors for both algebra and physics, based on different models and designed for different educational contexts, had almost identical results.
It was amazing to see the long history of work on intelligent tutors, the scientific progress and implementation in schools across the country. The cognitive basis for such models is fascinating, tracing students' cognitive states in real time and modeling their knowledge as they learn new material. Yet, interaction with the tutor is simple: the tutor silently observes the students strategy, until the student asks for help or makes a mistake, and provides immediate feedback. This helps increase the quality and speed of learning as well as positively reinforce the joy (rather than the struggle) involved, keeping students motivated and moving in the right direction as they develop their problem-solving skills. However, its clear that there is a lot of work still remaining. Despite having a long history, the number of researchers in this area remains relatively small and the challenges ahead of them are large (including technical and political/social challenges).
Robotics: Modelling, Planning and Control
The document discusses motion planning for robot manipulators. It introduces the canonical problem of motion planning, which is to find a collision-free path between an initial and final configuration while avoiding obstacles. It describes how the configuration space represents all possible configurations of the robot as points in a space. Examples are given of how the configuration space represents different types of robots, such as mobile robots and manipulators. Planning techniques for solving motion planning problems in configuration space are then discussed.
Psychoacoustic Approaches to Audio Steganography
Presentation slides corresponding to a paper that explores methods of audio steganography with emphasis on psychoacoustic approaches. Specifically, it describes a project that had the requirement of hiding a text-based message inside an audio signal with minimal or no distortion of the signal as perceived by the human ear. The theory and experimental results of each approach are discussed.
Psychoacoustic Approaches to Audio Steganography Report
This paper explores methods of audio steganography with emphasis on psychoacoustic approaches. Specifically, it describes a project that had the requirement of hiding a text-based message inside an audio signal with minimal or no distortion of the signal as perceived by the human ear. The theory and experimental results of each approach are discussed.
Text-Independent Speaker Verification
Presentation slides discussing the theory and empirical results of a text-independent speaker verification system I developed based upon classification of MFCCs. Both mininimum-distance classification and least-likelihood ratio classification using Gaussian Mixture Models were discussed.
Text-Independent Speaker Verification Report
Provides an introduction to the task of speaker recognition, and describes a not-so-novel speaker recognition system based upon a minimum-distance classification scheme. We describe both the theory and practical details for a reference implementation. Furthermore, we discuss an advanced technique for classification based upon Gaussian Mixture Models (GMM). Finally, we discuss the results of a set of experiments performed using our reference implementation.
Image Printing Based on Halftoning
This document describes a project to develop an image printing program based on halftoning. Halftoning approximates grayscale images using patterns of black and white dots. The program implements a simple halftoning scheme with 10 shades of gray represented by 3x3 dot patterns. It reduces image resolution significantly. Testing showed the halftoned images have very low quality due to the coarse approximation and reduced resolution. More advanced halftoning methods are needed to produce higher quality halftoned images.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
More Related Content
More from Cody Ray
Cognitive Modeling & Intelligent Tutors
A review of cognitive modeling and intelligent tutors. Presentation based on three papers, summarized below.
The base paper reports on an experiment of intelligent tutoring in three urban high schools in Pittsburgh. An intelligent tutor has been made a part of 9th grade algebra, accompanying a new algebra curriculum focused on mathematical analysis of real world situations and the use of computations tools. The 470 students in experimental classes outperformed students in comparison classes by 15% on standardized tests and 100% on tests targeting the PUMP objectives. The first auxiliary paper by Anderson describes the cognitive basis for intelligent tutors, from theory to model-tracing methodology, to issues that arise in implementation. The second auxiliary paper by VanLehn describes the lessons learned in developing and testing a cognitive tutor for physics at the U.S. Naval Academy. In particular, this system was designed to run as part of a course with minimal invasion of curricular design. Interestingly, the intelligent tutors for both algebra and physics, based on different models and designed for different educational contexts, had almost identical results.
It was amazing to see the long history of work on intelligent tutors, the scientific progress and implementation in schools across the country. The cognitive basis for such models is fascinating, tracing students' cognitive states in real time and modeling their knowledge as they learn new material. Yet, interaction with the tutor is simple: the tutor silently observes the students strategy, until the student asks for help or makes a mistake, and provides immediate feedback. This helps increase the quality and speed of learning as well as positively reinforce the joy (rather than the struggle) involved, keeping students motivated and moving in the right direction as they develop their problem-solving skills. However, its clear that there is a lot of work still remaining. Despite having a long history, the number of researchers in this area remains relatively small and the challenges ahead of them are large (including technical and political/social challenges).
Robotics: Modelling, Planning and Control
The document discusses motion planning for robot manipulators. It introduces the canonical problem of motion planning, which is to find a collision-free path between an initial and final configuration while avoiding obstacles. It describes how the configuration space represents all possible configurations of the robot as points in a space. Examples are given of how the configuration space represents different types of robots, such as mobile robots and manipulators. Planning techniques for solving motion planning problems in configuration space are then discussed.
Psychoacoustic Approaches to Audio Steganography
Presentation slides corresponding to a paper that explores methods of audio steganography with emphasis on psychoacoustic approaches. Specifically, it describes a project that had the requirement of hiding a text-based message inside an audio signal with minimal or no distortion of the signal as perceived by the human ear. The theory and experimental results of each approach are discussed.
Psychoacoustic Approaches to Audio Steganography Report
This paper explores methods of audio steganography with emphasis on psychoacoustic approaches. Specifically, it describes a project that had the requirement of hiding a text-based message inside an audio signal with minimal or no distortion of the signal as perceived by the human ear. The theory and experimental results of each approach are discussed.
Text-Independent Speaker Verification
Presentation slides discussing the theory and empirical results of a text-independent speaker verification system I developed based upon classification of MFCCs. Both mininimum-distance classification and least-likelihood ratio classification using Gaussian Mixture Models were discussed.
Text-Independent Speaker Verification Report
Provides an introduction to the task of speaker recognition, and describes a not-so-novel speaker recognition system based upon a minimum-distance classification scheme. We describe both the theory and practical details for a reference implementation. Furthermore, we discuss an advanced technique for classification based upon Gaussian Mixture Models (GMM). Finally, we discuss the results of a set of experiments performed using our reference implementation.
Image Printing Based on Halftoning
This document describes a project to develop an image printing program based on halftoning. Halftoning approximates grayscale images using patterns of black and white dots. The program implements a simple halftoning scheme with 10 shades of gray represented by 3x3 dot patterns. It reduces image resolution significantly. Testing showed the halftoned images have very low quality due to the coarse approximation and reduced resolution. More advanced halftoning methods are needed to produce higher quality halftoned images.
More from Cody Ray (7)
Psychoacoustic Approaches to Audio Steganography Report
Psychoacoustic Approaches to Audio Steganography Report
Recently uploaded
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Recently uploaded (20)
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Object Recognition: Fourier Descriptors and Minimum-Distance Classification
- 1. Object Recognition: Fourier Descriptors andMinimum-Distance Classification Cody A. Ray, Drexel University ECES 436 Image Signal Processing Thursday, June 6, 2010
- 3. Connectivity 4-Connected Not 4-Connected 4-Connectivity 8-Connectivity 8-Connected Not 8-Connected
- 8. Coordinates -> Complex Numbers
- 11. Minimum-Distance Classifier Training Data Prototype Pattern Classes Testing Data Test Pattern Vector
Editor's Notes
- Square tesselation
- Square tesselation
- Discrete Fourier Transform, Throw Out High-Frequency Components, Inverse DFT