The term "machine learning" is increasingly bandied about in corporate settings and cocktail parties, but what is it, really? In this session we'll answer that question, providing an approachable overview of machine learning concepts, technologies, and use cases. We'll then take a deeper dive into machine learning topics such as supervised learning, unsupervised learning, and deep learning. We'll also survey various machine learning APIs and platforms. Technologies including Spring and Cloud Foundry will be leveraged in the demos. You'll be the hit of your next party when you're able to express the near-magical inner-workings of artificial neural networks!
Machine Learning Interpretability - Mateusz Dymczyk - H2O AI World London 2018Sri Ambati
This talk was recorded in London on Oct 30, 2018 and can be viewed here: https://youtu.be/p4iAnxwC_Eg
The good news is building fair, accountable, and transparent machine learning systems is possible. The bad news is it’s harder than many blogs and software package docs would have you believe. The truth is nearly all interpretable machine learning techniques generate approximate explanations, that the fields of eXplainable AI (XAI) and Fairness, Accountability, and Transparency in Machine Learning (FAT/ML) are very new, and that few best practices have been widely agreed upon. This combination can lead to some ugly outcomes!
This talk aims to make your interpretable machine learning project a success by describing fundamental technical challenges you will face in building an interpretable machine learning system, defining the real-world value proposition of approximate explanations for exact models, and then outlining the following viable techniques for debugging, explaining, and testing machine learning models
Mateusz is a software developer who loves all things distributed, machine learning and hates buzzwords. His favourite hobby data juggling.
He obtained his M.Sc. in Computer Science from AGH UST in Krakow, Poland, during which he did an exchange at L’ECE Paris in France and worked on distributed flight booking systems. After graduation he move to Tokyo to work as a researcher at Fujitsu Laboratories on machine learning and NLP projects, where he is still currently based.
The term "machine learning" is increasingly bandied about in corporate settings and cocktail parties, but what is it, really? In this session we'll answer that question, providing an approachable overview of machine learning concepts, technologies, and use cases. We'll then take a deeper dive into machine learning topics such as supervised learning, unsupervised learning, and deep learning. We'll also survey various machine learning APIs and platforms. Technologies including Spring and Cloud Foundry will be leveraged in the demos. You'll be the hit of your next party when you're able to express the near-magical inner-workings of artificial neural networks!
Machine Learning Interpretability - Mateusz Dymczyk - H2O AI World London 2018Sri Ambati
This talk was recorded in London on Oct 30, 2018 and can be viewed here: https://youtu.be/p4iAnxwC_Eg
The good news is building fair, accountable, and transparent machine learning systems is possible. The bad news is it’s harder than many blogs and software package docs would have you believe. The truth is nearly all interpretable machine learning techniques generate approximate explanations, that the fields of eXplainable AI (XAI) and Fairness, Accountability, and Transparency in Machine Learning (FAT/ML) are very new, and that few best practices have been widely agreed upon. This combination can lead to some ugly outcomes!
This talk aims to make your interpretable machine learning project a success by describing fundamental technical challenges you will face in building an interpretable machine learning system, defining the real-world value proposition of approximate explanations for exact models, and then outlining the following viable techniques for debugging, explaining, and testing machine learning models
Mateusz is a software developer who loves all things distributed, machine learning and hates buzzwords. His favourite hobby data juggling.
He obtained his M.Sc. in Computer Science from AGH UST in Krakow, Poland, during which he did an exchange at L’ECE Paris in France and worked on distributed flight booking systems. After graduation he move to Tokyo to work as a researcher at Fujitsu Laboratories on machine learning and NLP projects, where he is still currently based.
(Very) Recent AI advances for Chemical Engineering research and educationRichard West
A presentation by Richard West r.west@northeastern.edu @richardhwest on Dec 6, 2022
to the faculty and staff meeting of the Department of Chemical Engineering at Northeastern University. Discussing (very) recent advances in artificial intelligence and the opportunities and threats it offers to chemical engineering research, scholarship, creativity, education, and assessment.
안녕하세요 딥러닝 논문읽기 모임입니다.
오늘 소개 드릴 논문은 2021 ICLR에 억셉이된
'The Deep Bootstrap Framework:Good Online Learners are good Offline Generalizers ' 라는 논문입니다.
오늘 발표를 위해 펀디 멘탈팀 이재윤님이 리뷰 도와주셨습니다.
문의 tfkeras@kakao.com
Mockito vs JMockit, battle of the mocking frameworksEndranNL
(Original keynote slides can be found at https://github.com/Endran/PublicSlides)
For years the industry standard of mocking on the JVM has been Mockito. Mockito is a wonderful library that really speeds up your testing by allowing you to create mocks in a very simple way. That being said, it does have its drawbacks, for which different strategies need to be deployed to keep your code testable. The main drawbacks are statics and finals. Final classes cannot be mocked, nor final methods, and also static methods are a no-go. To work with these type of things we need to wrap it, and copy the signature in a non final, non static way.
I have a great adversity against statics, I've devoted an entire post about it, in short; It hides dependencies and brings so little convenience at the costs of its drawbacks. Finals on the other hand have purpose, it helps messaging the goal of a class or method. Java is one of the few languages where classes and methods are open/virtual by default and have to be closed/final by explicit action. In (for example) Kotlin, everything is final by default, if you do not want something to be final, you should use the open keyword.
No matter if you follow the principle of making things final, static or not, if you are using Mockito the decision has been made. This mocking framework demands that everything is non-final, demands that everything is designed to be extended, since it might need to be mocked away. We should be able to improve upon this, and by the name of this post, you should be able to guess which framework will save the day. JMockit will help us with our impediments, and will give some other nifty benefits as well!
Picked-up lists of GAN variants which provided insights to the community. (GANs-Improved GANs-DCGAN-Unrolled GAN-InfoGAN-f-GAN-EBGAN-WGAN)
After short introduction to GANs, we look through the remaining difficulties of standard GANs and their temporary solutions (Improved GANs). By following the slides, we can see the other solutions which tried to resolve the problems in various ways, e.g. careful architecture selection (DCGAN), slight change in update (Unrolled GAN), additional constraint (InfoGAN), generalization of the loss function using various divergence (f-GAN), providing new framework of energy based model (EBGAN), another step of generalization of the loss function (WGAN).
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network ModelsMinsuk Kahng
Presentation slides for the following paper presented at IEEE VIS 2017 (http://ieeevis.org).
Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, and Duen Horng (Polo) Chau. ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. IEEE Transactions on Visualization and Computer Graphics, Vol. 24, No. 1 (VAST 2017).
PuppetConf 2016: Turning Pain Into Gain: A Unit Testing Story – Nadeem Ahmad ...Puppet
Here are the slides from Nadeem Ahmad & Jordan Moldow's presentation called Turning Pain Into Gain: A Unit Testing Story. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
Video at https://www.youtube.com/watch?v=nD1eFbql8jg
This talk will demonstrate advanced testing practices used by the XWiki open source project, and using Java, Maven, Docker and Jenkins:
* Testing for backward compatibility with Revapi and an associated strategy
* Testing for coverage with Jacoco and defining a viable strategy for slowing improving the situation
* Testing the quality of your tests with Descartes Mutation testing
Automatically enriching your test suite with DSpot
* Testing various configurations with Docker containers and Jenkins
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
(Very) Recent AI advances for Chemical Engineering research and educationRichard West
A presentation by Richard West r.west@northeastern.edu @richardhwest on Dec 6, 2022
to the faculty and staff meeting of the Department of Chemical Engineering at Northeastern University. Discussing (very) recent advances in artificial intelligence and the opportunities and threats it offers to chemical engineering research, scholarship, creativity, education, and assessment.
안녕하세요 딥러닝 논문읽기 모임입니다.
오늘 소개 드릴 논문은 2021 ICLR에 억셉이된
'The Deep Bootstrap Framework:Good Online Learners are good Offline Generalizers ' 라는 논문입니다.
오늘 발표를 위해 펀디 멘탈팀 이재윤님이 리뷰 도와주셨습니다.
문의 tfkeras@kakao.com
Mockito vs JMockit, battle of the mocking frameworksEndranNL
(Original keynote slides can be found at https://github.com/Endran/PublicSlides)
For years the industry standard of mocking on the JVM has been Mockito. Mockito is a wonderful library that really speeds up your testing by allowing you to create mocks in a very simple way. That being said, it does have its drawbacks, for which different strategies need to be deployed to keep your code testable. The main drawbacks are statics and finals. Final classes cannot be mocked, nor final methods, and also static methods are a no-go. To work with these type of things we need to wrap it, and copy the signature in a non final, non static way.
I have a great adversity against statics, I've devoted an entire post about it, in short; It hides dependencies and brings so little convenience at the costs of its drawbacks. Finals on the other hand have purpose, it helps messaging the goal of a class or method. Java is one of the few languages where classes and methods are open/virtual by default and have to be closed/final by explicit action. In (for example) Kotlin, everything is final by default, if you do not want something to be final, you should use the open keyword.
No matter if you follow the principle of making things final, static or not, if you are using Mockito the decision has been made. This mocking framework demands that everything is non-final, demands that everything is designed to be extended, since it might need to be mocked away. We should be able to improve upon this, and by the name of this post, you should be able to guess which framework will save the day. JMockit will help us with our impediments, and will give some other nifty benefits as well!
Picked-up lists of GAN variants which provided insights to the community. (GANs-Improved GANs-DCGAN-Unrolled GAN-InfoGAN-f-GAN-EBGAN-WGAN)
After short introduction to GANs, we look through the remaining difficulties of standard GANs and their temporary solutions (Improved GANs). By following the slides, we can see the other solutions which tried to resolve the problems in various ways, e.g. careful architecture selection (DCGAN), slight change in update (Unrolled GAN), additional constraint (InfoGAN), generalization of the loss function using various divergence (f-GAN), providing new framework of energy based model (EBGAN), another step of generalization of the loss function (WGAN).
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network ModelsMinsuk Kahng
Presentation slides for the following paper presented at IEEE VIS 2017 (http://ieeevis.org).
Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, and Duen Horng (Polo) Chau. ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. IEEE Transactions on Visualization and Computer Graphics, Vol. 24, No. 1 (VAST 2017).
PuppetConf 2016: Turning Pain Into Gain: A Unit Testing Story – Nadeem Ahmad ...Puppet
Here are the slides from Nadeem Ahmad & Jordan Moldow's presentation called Turning Pain Into Gain: A Unit Testing Story. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
Video at https://www.youtube.com/watch?v=nD1eFbql8jg
This talk will demonstrate advanced testing practices used by the XWiki open source project, and using Java, Maven, Docker and Jenkins:
* Testing for backward compatibility with Revapi and an associated strategy
* Testing for coverage with Jacoco and defining a viable strategy for slowing improving the situation
* Testing the quality of your tests with Descartes Mutation testing
Automatically enriching your test suite with DSpot
* Testing various configurations with Docker containers and Jenkins
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
108. Applications
108
RCGAN
5.
Che et al., Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records, 2017
109. Applications
109
GAN for Low-dose CT
5.
Jelmer M. et al, Generative Adversarial Networks for Noise Reduction in Low-Dose CT, 2017, http://medicine.utah.edu/radiology/news/2016/low-dose-ct-zeng-award.php