HltCon overview
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Placing the talks of http://www.basistech.com/events/hltcon/ in context of the day and some broader Human Language Technology trends.
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Tejas bichave m tech python
Tejas Bichave is a software professional with over 3 years of experience in Python, Java, and testing tools like Postman. He has worked on projects involving resource adapters, advertisement portals, auto provisioning servers, and cryptographic algorithm development. He holds an M-Tech in computer science and has published papers on caching techniques. He is seeking a new role where he can apply and grow his technical skills.
Genomics Deployments - How to Get Right with Software Defined Storage
This document discusses genomics workloads and the requirements for storage infrastructure to support them. It begins with an introduction to genomics and the growth of the field. It then examines the characteristics of genomic sequencing workloads, including the multi-step process and file-based nature. Key requirements for storage are outlined, such as high throughput, large ingestion of files, and support for POSIX and other access protocols. The document proposes a solution using a software-defined, clustered file system like IBM Spectrum Scale to provide scalable, high performance file storage as a building block of a composable infrastructure for genomics applications. It provides an example architecture and performance results for GATK-based analysis.
Srividhya_pm_resume_latest
Srividhya Krishnaswamy has over 14 years of experience in software development, testing, and project management. She has expertise in C, Linux, and Unix operating systems and has worked on projects involving storage, networking, backup/restore systems, and security protocols. Currently she is a Project Leader at Wipro Technologies where she has led several projects involving middleware systems, backup software, and static code analysis platforms.
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More from David Murgatroyd
Mission-Driven Machine Learning
Mission-driven MLers love customers more than code, results more than research, and values more than value.
Leveraging AI the Right Way (for Product Managers)
Artificial Intelligence is transforming almost every kind of product as innovative techniques receive deserved attention. But careful leadership from Product Managers is crucial in turning that innovation into something that’s not only valuable but that also respects your own values. This talk provides frameworks to identify where AI can impact our products in the ways we want and to maximize that impact throughout the product life cycle.
Managing Your Machine Learning Portfolio
Applying machine learning to a particular business need becomes more straightforward with each technological advance. But today’s businesses have a variety of needs which are too numerous to be addressed one-at-a-time and too different to be addressed one-size-fits-all. We examine three significant challenges to building an effective ML portfolio and ways to address them thru the framework of the ML product lifecycle.
How to train your product owner
Machine Learning is transforming every industry with innovative techniques receiving deserved attention. But turning innovation into value requires integrating into practical technology products, often with the leadership of product managers. We'll talk about how to help your friendly neighborhood Product Owner: identify where ML can make a difference, develop metrics to validate and refine it, identify data to feed it, prioritize work to develop it, and structure teams to deliver it in a satisfying way.
Technology & Faith: from Coding to Culture
Delivered at the 2017 Missions Conference of Park Street Church, Boston
Summary:
* In deciding if we're using tech well, ask if it's improving our relationship with Our Loved Ones, Our Skills and Gifts, Our Bodies, Our World, and Our God
* In deciding if our building tech is improving lives, ask if it's doing so for our users, our team, and ourselves.
* The way to build tech well, is to Know God better than Tech, Choose employers based on values, Seek purpose, not just craft or team, and Consider who’s underserved
Agile Deep Learning
Video: http://videos.re-work.co/videos/464-agile-deep-learning
Deep Learning has been called the ‘new electricity’ — transforming every industry. Innovative architectures and applications receive deserved attention. But to turn innovation into value requires integrating deep learning into practical technology products. Such products, including Spotify's, are often developed following the principles of agile. This talk focuses on approaching deep learning in an agile way and on integrating deep learning into the agile cadence of a modern software development organization.
Managing machine learning
Machine Learning has become a must to improve insight, quality and time to market. But it's also been called the 'high interest credit card of technical debt' with challenges in managing both how it's applied and how its results are consumed.
NLP in the Real World
Seven Steps to Real World Natural Language Processing Happiness. Presented at Basis Technology Student Open House.
System combination for HLT
The document discusses challenges and opportunities for combining multiple human language technology (HLT) systems to reduce errors. It provides an example of combining name matching systems, where the existing system is supplemented by a new system. The key points are:
1) Combining systems from different technologies can reduce errors by benefiting from each system's strengths.
2) The new system should address the same task as the existing system but use a different approach to find matches the existing system misses.
3) Systems should be combined when the existing system's error types are known and the new system can be easily integrated without destabilizing the overall system.
Simple fuzzy name matching in solr
We all know normalization is crucial to delivering high quality search results. We don’t want uninteresting variations between the query and the document to lead to missed hits (e.g., “celebrity” v. “celebrities”). Normalization of dictionary words is well understood, but what if your application focuses on names? Whether you’re tackling patent examination, sports records, e-commerce, watchlist screening or many other topics, names are often the key. Can your users find “Abdul Jabbar, Karim” if they search for “Kareem AbdalJabar” or “كريم عبد الجبار”? Solr application architects have attempted to address this through custom integration of nickname lists, edit distance, case normalization, phonetic encoding and n-grams (see example #1 or example #2), but doing so requires significant effort and may not address all desired variations. A simpler approach is to use a Solr field type for names that handles these linguistic nuances behind-the-scenes. We’ll talk about how we built this sort of field type via a Solr plug-in for the Rosette Name Indexer. We’ll also discuss examples of use cases this has enabled, how it can be tuned if necessary, and how it connects to the broader trend of entity-centric search.
Linguistic Considerations of Identity Resolution (2008)
Identity resolution systems indicate if two individuals really are the same person. Identity retrieval systems help you find the individual you’re after. These systems appear anywhere from analysts’ desks to border crossings. But how do can you tell if a system's any good before it's deployed? You need to understand the problems it should tackle and how to measure how well it’s doing.
This talk considers metrics and data for evaluating identity resolution and retrieval systems. It also explores the linguistic challenges these systems face.
Moving beyond-entity-extraction-to-entity-resolution-david-murgatroyd-human-l...
Entity extraction finds names in documents, providing important raw material for big decisions. But finding all mentions of the name “George Bush” is very different than finding all mentions of the 43rd US President. Making big decisions from big data is hopeless unless analytics advance from providing snippets of text to providing statements of truth. Such advances present challenges both of accuracy and of usability. We’ll explore these challenges and demonstrate ways of addressing them.
From Research to Reality: Advances in HLT 2013
http://basistechweek.com/hlt.html
There's never been a more exciting time to be involved in Human Language Technology (HLT). Advances in algorithms, architectures, and applications are making real differences in fulfilling missions around the world. We'll use the perspective of one specific, end-to-end use case starting from primary source collection going all the way through finished intelligence to show the value and importance of moving your HLT thinking from strings to things, from configuration to adaption, from isolation to collaboration, and from small scale to Big Text. This perspective will serve as a guide to the other talks of the day which together will give you greater insight in applying HLT to your mission.
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Leveraging AI the Right Way (for Product Managers)
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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.Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
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GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
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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.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
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Mind map of terminologies used in context of Generative AI
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Revolutionizing Application Development
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
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Communications Mining Series - Zero to Hero - Session 1
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• Why is it important?
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• Phases in Communication Mining
• Demo on Platform overview
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Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsUiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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.
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Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
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HltCon overview
- 1. Welcome to #HLTCon! David Murgatroyd @dmurga VP, Engineering, Basis Technology
- 2. About #HLTCon ● Most registrants ever! ● 9th Year ● wifi: Westin; password: Basis2 ● Remember to check out the HLT Showcase ● Thanks to the conference team
- 19. Revisiting 4 Trends from last #HLTCon 1. From Input Domain to Mission Domain (e.g., Wikidata) 2. From Configuration to Adaptation (e.g., Deep Learning) 3. From Isolated Texts to Integrated Media (e.g., Rich Documents) 4. From Consumption to Collaboration (e.g., Analyst Correction)
- 20. #1 Input Domain to Mission Domain Shared Knowledge Bases
- 21. #1 Input Domain to Mission Domain Integrating Signals from Wearables ...
- 22. #1 Input Domain to Mission Domain ...and the rest of the Internet of Things.
- 23. #2 From Configuration to Adaptation Deep Learning
- 24. #3 From Text to Media
- 25. #3 From Text to Media In five years, we think 50 percent of queries will be on speech or images. - Andrew Ng, Chief Scientist, Baidu
- 26. #4 From Consumption to Collaboration Mutual Assistance