As a run-up to the Pistoia Alliance Blockchain Bootcamp in October, we are please to bring you an in-depth introduction to blockchain technology. Hear Wolfgang Prinz and Wolfgang Gräther from Fraunhofer FIT provide an explanation of the underlying technology, the current uses of blockchain in other industries, and when blockchain is appropriate for various use-cases, followed by a demo.
Lecture on 13 November 2018
Introduction to Blockchain
History of Blockchain
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
This document outlines a class on blockchain technology and smart contracts. It discusses hyperledgers, their requirements and architecture. Hyperledger is introduced as an open source distributed ledger framework. Smart contracts are defined and their properties, features, interpretation using Ricardian contracts, and applications are explained. Various smart contract languages are also mentioned.
Lecture on 11 December 2018
Cryptography
Steganography
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
Lecture on 27 November 2018
FinTech
Cryptocurrencies
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
Lecture on 20 November 2018
Blockchain Terminologies
Types of Blockchain
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
Lecture on 29 January 2019
Consensus Algorithms
Nakamoto Consensus
Federated Consensus
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
Lecture on 22 January 2019
CAP Theorem
Byzantines General Problem
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
This document appears to be a slide deck presentation on cloud security given by Dr. Ferdin Joe John Joseph from the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok. Over 42 slides, it likely covered various topics relating to security in cloud computing such as access controls, encryption, identity management, auditing, and compliance. The presentation concluded by noting that next week's topic will be on cloud native technologies, Kubernetes, DevOps, and include a demonstration.
Lecture on 13 November 2018
Introduction to Blockchain
History of Blockchain
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
This document outlines a class on blockchain technology and smart contracts. It discusses hyperledgers, their requirements and architecture. Hyperledger is introduced as an open source distributed ledger framework. Smart contracts are defined and their properties, features, interpretation using Ricardian contracts, and applications are explained. Various smart contract languages are also mentioned.
Lecture on 11 December 2018
Cryptography
Steganography
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
Lecture on 27 November 2018
FinTech
Cryptocurrencies
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
Lecture on 20 November 2018
Blockchain Terminologies
Types of Blockchain
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
Lecture on 29 January 2019
Consensus Algorithms
Nakamoto Consensus
Federated Consensus
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
Lecture on 22 January 2019
CAP Theorem
Byzantines General Problem
Blockchain for Beginners
Elective course from the Faculty of Information Technology, Thai - Nichi Institute of Technology, Bangkok for undergraduate students.
#BlockchainTNI2018
This document appears to be a slide deck presentation on cloud security given by Dr. Ferdin Joe John Joseph from the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok. Over 42 slides, it likely covered various topics relating to security in cloud computing such as access controls, encryption, identity management, auditing, and compliance. The presentation concluded by noting that next week's topic will be on cloud native technologies, Kubernetes, DevOps, and include a demonstration.
The document discusses how blockchain technology can be applied beyond cryptocurrencies. It provides examples of using blockchain in supply chain management, healthcare, and governance. Specifically, blockchain could provide visibility, prevent fraud, and simplify processes in supply chain management. In healthcare, it discusses managing medical data, research, and insurance claims. For governance, blockchain could help with record management, digital identities, voting, and intellectual property protection. The presenter is a lecturer who teaches a blockchain course covering these topics.
Ferdin Joe John Joseph, a lecturer at the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok, gave a webinar on blockchain technology for newcomers. The webinar covered the history and basics of blockchain, including how blocks are created and linked together in a chain using cryptography. It also discussed consensus mechanisms like proof-of-work and applications of blockchain beyond cryptocurrencies, such as using it for healthcare management, supply chain tracking, and digital governance. The webinar explained that the Faculty of Information Technology offers a 3-credit elective course on blockchain concepts and applications.
This document discusses a lecture on object storage services from Alibaba Cloud. It provides an overview of Alibaba Cloud's portfolio and a demonstration of the Object Storage Service (OSS). The presentation was given by Dr. Ferdin Joe John Joseph from the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok. Next week's lecture will cover relational database services and include another demonstration.
This document discusses feature engineering techniques for data analysis. It covers feature selection, construction, and engineering. Specific techniques discussed include feature imputation, handling outliers, binning, log transforms, one-hot encoding, grouping, splitting, scaling, and extracting date features. The document provides examples and explanations of these techniques to transform raw data into more useful features for machine learning models.
This document outlines the agenda for week 1 of an object oriented programming course. It includes an introduction, overview of the course roadmap and grading breakdown, discussion of required textbooks, an introductory programming activity, an overview of programming concepts like procedural vs object oriented programming, a history of Java, and an introduction to Java syntax. It concludes by outlining what will be covered in the next class, including operators, expressions, and conditional statements.
Virtualization allows multiple virtual machines to run on a single physical server, improving resource utilization. It provides benefits like partitioning resources between VMs, portability by saving VMs as files, and security through hardware isolation. A hypervisor manages virtual resources and presents virtual machines to guest operating systems, allowing virtualization of CPUs, storage, and networks. Common hypervisors include VMware ESXi, Hyper-V, KVM, and Xen, which run directly on hardware or on a host operating system.
This document is a presentation on Relational Database Service (RDS) given by Dr. Ferdin Joe John Joseph from the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok. The presentation introduces RDS as part of Alibaba Cloud's portfolio and provides a demonstration of its features and capabilities. It concludes by announcing that next week's topic will be on cloud security.
Week 5: Elastic Compute Service (ECS) with Alibaba Cloud- DSA 441 Cloud Compu...Ferdin Joe John Joseph PhD
This document discusses a demonstration of Elastic Compute Service (ECS). It is presented by Dr. Ferdin Joe John Joseph from the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok. The presentation covers ECS and is part of a cloud computing course. It provides an overview of ECS and previews that next week's topics will be autoscaling and server load balancing.
The document discusses research on integrating semantic web technologies into intelligent web applications. It presents an approach using document-level semantic annotations. A logical architecture and platform called H-DOSE is introduced that uses ontologies and web services. Case studies applying the approach to content management, e-learning and personalization systems are described. The research demonstrates the feasibility of semantically enhancing existing web applications.
Multimedia Lab @ Ghent University - iMinds - Organizational Overview & Outlin...Wesley De Neve
The document provides an overview of the Multimedia Lab at Ghent University and iMinds research institute in Belgium. It discusses the organizational structure of Ghent University and iMinds and describes the research activities of the Multimedia Lab, including social media analysis, visual content understanding, and deep machine learning. It also outlines some specific projects on Twitter data involving hashtag recommendation, named entity recognition, and social television.
Α framework for re-education of public administration in legal informatics to...Dr. Fotios Fitsilis
This document proposes a framework for re-educating public administrators on legal informatics tools and patterns. It discusses the need to enhance accountability and adopt open data standards, but notes current expertise is limited. The proposed approach would identify key topics like the European Interoperability Framework, educate stakeholders like the National School of Public Administration using various methods including online courses and mentoring, and pilot test legal editing software. For success, it emphasizes the need for political will, stakeholder input, a long-term strategy, and prioritized action plan.
Slides for online briefing on the OER Rapid Innovation Call released in November 2011: http://bit.ly/rNQsW3
Bid deadline 27th January 2012. Amber Thomas, JISC.
Cloud AI is a machine learning platform used to create and deploy machine learning models in the cloud. It allows users to streamline workflows including data preparation, model training, evaluation and publishing models for use in other cloud services. The platform provides services like Machine Learning Studio for visual modeling, Data Science Workshop for interactive development, and Elastic Algorithm Service to deploy models as APIs.
Open Source Predictive Analytics Pipeline with Apache NiFi and MiniFi PrincetonTimothy Spann
The document discusses building a predictive analytics pipeline using Apache NiFi and MiniFi for IoT. It describes using NiFi and MiniFi to ingest sensor data from IoT devices, process the data with TensorFlow for image recognition and predictive modeling, and store results. MiniFi can run TensorFlow models on edge devices, while NiFi handles orchestration and moving data between systems.
The document discusses how cloud platforms can help enable Industry 4.0 applications, providing examples of companies using Microsoft Azure and AWS for uses like predictive maintenance, quality assurance, and enhancing services. It also covers technologies on these cloud platforms that can be used to develop Industry 4.0 applications, such as Azure IoT and various Azure preconfigured solutions and accelerators.
Presentation given by Nikolay Tcholtev, Fraunhofer Fokus, at Open & Agile Smart Cities' annual Connected Smart Cities & Communities Conference 2020 on 23 January in Brussels, Belgium.
System and Software Engineering for Industry 4.0Pankesh Patel
This document provides an overview of Industry 4.0 concepts including:
- Examples of Industry 4.0 use cases like predictive maintenance, quality control, and remote monitoring.
- The Industry 4.0 architecture including devices, edge computing, data lakes, analytics, and applications.
- The technology stack required including connectivity, security, device and data management, analytics, and digital twins.
Presentation from Grace Hopper Celebration 2016. Topic: Blockchain and Internet of Things (IoT) in the IBM Bluemix platform includes Demo. Speakers: Valerie Lampkin, Sumabala Nair and Carole Corley
Blockchain IoT Workshop for the Aviation Planning ConferenceJim Gitney
On August 19,2018, Jim Gitney, Group50's CEO, presented a Blockchain and IoT workshop to 60+ executives from the Aviation Industry and discussed current and future applications for that industry.
Horizon 2020 IoT Project Sofie Secure Open Federation of Internet Everywhere ...hubraum IoT Academy
The document discusses the SOFIE project, which aims to securely federate different IoT platforms using distributed ledger technology. SOFIE will prototype applying blockchains to interconnect diverse IoT systems, provide metadata about platforms, and securely record transactions. It will include pilots involving smart meters, electricity marketplaces, food supply chains, and mixed reality gaming.
The document discusses how blockchain technology can be applied beyond cryptocurrencies. It provides examples of using blockchain in supply chain management, healthcare, and governance. Specifically, blockchain could provide visibility, prevent fraud, and simplify processes in supply chain management. In healthcare, it discusses managing medical data, research, and insurance claims. For governance, blockchain could help with record management, digital identities, voting, and intellectual property protection. The presenter is a lecturer who teaches a blockchain course covering these topics.
Ferdin Joe John Joseph, a lecturer at the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok, gave a webinar on blockchain technology for newcomers. The webinar covered the history and basics of blockchain, including how blocks are created and linked together in a chain using cryptography. It also discussed consensus mechanisms like proof-of-work and applications of blockchain beyond cryptocurrencies, such as using it for healthcare management, supply chain tracking, and digital governance. The webinar explained that the Faculty of Information Technology offers a 3-credit elective course on blockchain concepts and applications.
This document discusses a lecture on object storage services from Alibaba Cloud. It provides an overview of Alibaba Cloud's portfolio and a demonstration of the Object Storage Service (OSS). The presentation was given by Dr. Ferdin Joe John Joseph from the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok. Next week's lecture will cover relational database services and include another demonstration.
This document discusses feature engineering techniques for data analysis. It covers feature selection, construction, and engineering. Specific techniques discussed include feature imputation, handling outliers, binning, log transforms, one-hot encoding, grouping, splitting, scaling, and extracting date features. The document provides examples and explanations of these techniques to transform raw data into more useful features for machine learning models.
This document outlines the agenda for week 1 of an object oriented programming course. It includes an introduction, overview of the course roadmap and grading breakdown, discussion of required textbooks, an introductory programming activity, an overview of programming concepts like procedural vs object oriented programming, a history of Java, and an introduction to Java syntax. It concludes by outlining what will be covered in the next class, including operators, expressions, and conditional statements.
Virtualization allows multiple virtual machines to run on a single physical server, improving resource utilization. It provides benefits like partitioning resources between VMs, portability by saving VMs as files, and security through hardware isolation. A hypervisor manages virtual resources and presents virtual machines to guest operating systems, allowing virtualization of CPUs, storage, and networks. Common hypervisors include VMware ESXi, Hyper-V, KVM, and Xen, which run directly on hardware or on a host operating system.
This document is a presentation on Relational Database Service (RDS) given by Dr. Ferdin Joe John Joseph from the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok. The presentation introduces RDS as part of Alibaba Cloud's portfolio and provides a demonstration of its features and capabilities. It concludes by announcing that next week's topic will be on cloud security.
Week 5: Elastic Compute Service (ECS) with Alibaba Cloud- DSA 441 Cloud Compu...Ferdin Joe John Joseph PhD
This document discusses a demonstration of Elastic Compute Service (ECS). It is presented by Dr. Ferdin Joe John Joseph from the Faculty of Information Technology at the Thai-Nichi Institute of Technology in Bangkok. The presentation covers ECS and is part of a cloud computing course. It provides an overview of ECS and previews that next week's topics will be autoscaling and server load balancing.
The document discusses research on integrating semantic web technologies into intelligent web applications. It presents an approach using document-level semantic annotations. A logical architecture and platform called H-DOSE is introduced that uses ontologies and web services. Case studies applying the approach to content management, e-learning and personalization systems are described. The research demonstrates the feasibility of semantically enhancing existing web applications.
Multimedia Lab @ Ghent University - iMinds - Organizational Overview & Outlin...Wesley De Neve
The document provides an overview of the Multimedia Lab at Ghent University and iMinds research institute in Belgium. It discusses the organizational structure of Ghent University and iMinds and describes the research activities of the Multimedia Lab, including social media analysis, visual content understanding, and deep machine learning. It also outlines some specific projects on Twitter data involving hashtag recommendation, named entity recognition, and social television.
Α framework for re-education of public administration in legal informatics to...Dr. Fotios Fitsilis
This document proposes a framework for re-educating public administrators on legal informatics tools and patterns. It discusses the need to enhance accountability and adopt open data standards, but notes current expertise is limited. The proposed approach would identify key topics like the European Interoperability Framework, educate stakeholders like the National School of Public Administration using various methods including online courses and mentoring, and pilot test legal editing software. For success, it emphasizes the need for political will, stakeholder input, a long-term strategy, and prioritized action plan.
Slides for online briefing on the OER Rapid Innovation Call released in November 2011: http://bit.ly/rNQsW3
Bid deadline 27th January 2012. Amber Thomas, JISC.
Cloud AI is a machine learning platform used to create and deploy machine learning models in the cloud. It allows users to streamline workflows including data preparation, model training, evaluation and publishing models for use in other cloud services. The platform provides services like Machine Learning Studio for visual modeling, Data Science Workshop for interactive development, and Elastic Algorithm Service to deploy models as APIs.
Open Source Predictive Analytics Pipeline with Apache NiFi and MiniFi PrincetonTimothy Spann
The document discusses building a predictive analytics pipeline using Apache NiFi and MiniFi for IoT. It describes using NiFi and MiniFi to ingest sensor data from IoT devices, process the data with TensorFlow for image recognition and predictive modeling, and store results. MiniFi can run TensorFlow models on edge devices, while NiFi handles orchestration and moving data between systems.
The document discusses how cloud platforms can help enable Industry 4.0 applications, providing examples of companies using Microsoft Azure and AWS for uses like predictive maintenance, quality assurance, and enhancing services. It also covers technologies on these cloud platforms that can be used to develop Industry 4.0 applications, such as Azure IoT and various Azure preconfigured solutions and accelerators.
Presentation given by Nikolay Tcholtev, Fraunhofer Fokus, at Open & Agile Smart Cities' annual Connected Smart Cities & Communities Conference 2020 on 23 January in Brussels, Belgium.
System and Software Engineering for Industry 4.0Pankesh Patel
This document provides an overview of Industry 4.0 concepts including:
- Examples of Industry 4.0 use cases like predictive maintenance, quality control, and remote monitoring.
- The Industry 4.0 architecture including devices, edge computing, data lakes, analytics, and applications.
- The technology stack required including connectivity, security, device and data management, analytics, and digital twins.
Presentation from Grace Hopper Celebration 2016. Topic: Blockchain and Internet of Things (IoT) in the IBM Bluemix platform includes Demo. Speakers: Valerie Lampkin, Sumabala Nair and Carole Corley
Blockchain IoT Workshop for the Aviation Planning ConferenceJim Gitney
On August 19,2018, Jim Gitney, Group50's CEO, presented a Blockchain and IoT workshop to 60+ executives from the Aviation Industry and discussed current and future applications for that industry.
Horizon 2020 IoT Project Sofie Secure Open Federation of Internet Everywhere ...hubraum IoT Academy
The document discusses the SOFIE project, which aims to securely federate different IoT platforms using distributed ledger technology. SOFIE will prototype applying blockchains to interconnect diverse IoT systems, provide metadata about platforms, and securely record transactions. It will include pilots involving smart meters, electricity marketplaces, food supply chains, and mixed reality gaming.
The development of Privatix Limited is a network of Privatix that allows to reduce costs and increase the profitability of the business in the consumer VPN market, eliminating the intermediary services and giving people the opportunity to share their communication channels through P2P network. Privatix is decentralized and autonomous P2P VPN Network on blockchain with the first Internet bandwidth marketplace powered by its own crypto-economy.
Rating score "B2"
Medium Fraud Rate
OpenCryptoTrust (www.openCT.io) Blockchain for Modern Telecommunications has gone beyond the obvious initial applications of blockchain - decentralized immutable storage, identity management, peer-to-peer payments. We have modified the blockchain protocol itself to support ultra-secure data transport – and superior management overlay.
OpenCryptoTrust has developed both the underlying platform (a hybrid blockchain called OpenCT) and two “Killer Applications” that solve immediate problems and offer significant cost savings for Telco Carrier customers.
BaaT (Blockchain-as-a-Transport) revolutionizes the use the public Internet for inexpensive, secure, enterprise-grade, data communications at significant cost reduction from private circuits.
BD-WAN (Blockchain Defined Wide Area Networking) revolutionizes existing pricing strategies for bandwidth – supporting “bandwidth on demand” for private optical based circuits - the ability to charge customers for the bandwidth they use. Additionally, this product is superior to existing SD-WAN solutions – in terms of security, MPLS and/or Cloud routing and interoperability.
This document provides an overview and update on the Hyperledger community and projects in February 2018. It discusses the growth of the community with over 91 meetup groups and 25k members. It provides details on the various Hyperledger frameworks like Fabric, Sawtooth, Iroha, Burrow and Indy. It also summarizes the tools like Composer, Cello and Explorer. The document outlines the governance structure and roadmap for 2018 with a focus on developer experience and network acceleration. It encourages participation through various channels like GitHub, mailing lists and working groups.
Autonomous technologies for global commercial and civil uav vendorsSergey Lonshakov
This document discusses the development of blockchain and IoT technologies for autonomous drone systems. It describes Sergey Lonshakov's work leading the Aira project to create a decentralized air traffic control system using blockchain. Key aspects include using Ethereum networks and smart contracts to allow drone agents and air traffic control nodes to autonomously coordinate flight paths and tasks in a trustless manner. The system is being tested and improved with the goal of providing a global solution for civil drone operators.
The document summarizes discussions from a workshop on defining future 5G networks and opportunities for small and medium enterprises (SMEs). Presenters discussed potential 5G technologies like software-defined networking (SDN), network functions virtualization (NFV), and a proposed "Network Operating System". They also explored how SMEs could collaborate with researchers to develop new connected media applications and better utilize 5G networks. Key questions focused on how SMEs, users, and other stakeholders could work together to exploit 5G's potential and what components would need to be opened up, such as hardware and wireless spectrum access, to enable SME-driven 5G innovation.
FIWARE is an open source platform consisting of generic enablers and solutions that allow for the management and exchange of context information through open APIs. The platform aims to support the development of smart digital services and applications. Context information from different domains can be gathered and organized in a common way using FIWARE's context broker as the main component. Once context data is collected, additional enablers can be used for advanced processing, visualization, and analysis to derive insights and power smart applications and services.
This document discusses 5G and its enabling technologies from a European perspective. It begins with an agenda that covers 5G and cloud computing, autonomous driving, and cloud manufacturing. It then discusses 5G, cloud computing, and industry 4.0 as key enablers. The rest of the document covers specific 5G technologies and use cases, an urban test field for autonomous vehicles in Berlin, challenges of cloud manufacturing, and a proposed service discovery architecture.
Slides from Mr. Georgios Tselentis, EC, DG CONNECT, Net Futures, Experimental Platforms.
Presented at CSC 2016, session2: Open Session on IoT Large Scale Pilots for Reference Zones in EU cities.
This document provides an overview and introduction to sensor networks and the Micaz sensor board. It discusses the key components of sensor networks including applications in various fields such as home automation, environment monitoring, and military uses. It also describes the different types of sensors that can be used. The document then provides details on the Micaz sensor board hardware and software components including TinyOS. It discusses the project approach taken by the authors which included tutorials, research papers, and developing applications. It provides summaries of some of the research papers. Finally, it describes the MicazXpl application developed by the authors for collecting and transmitting encrypted sensor data from the Micaz boards.
The document discusses deploying and managing blockchain networks globally. It provides an overview of Hyperledger, an open source collaborative effort to advance blockchain technologies hosted by The Linux Foundation. Hyperledger aims to provide neutral, open infrastructures and communities for developing blockchain use cases and deployments across various industries like finance, healthcare and supply chains. The document also describes Hyperledger's modular approach and some of its frameworks like Fabric, Iroha and Sawtooth Lake. It defines key blockchain terminology and concepts like consensus, smart contracts and shows how Hyperledger Fabric works through interaction between nodes, chaincodes and certificates.
RAI Archives: Looking to the future. Alberto Messina, Laurent Boch, RAI.FIAT/IFTA
The document discusses RAI's efforts to digitize and manage its media archives for the future. It summarizes current projects to digitize 1300K beta tapes and 800K film items over 5 years. It also discusses developing automated systems for rights management, metadata extraction, and visual search to make the archives more accessible and support new business opportunities. For storage, it proposes advanced cloud solutions to handle higher quality content and distribution channels while ensuring long-term preservation.
In today’s digital world, the issue of cyber-security is something that is continually weighing on everyone’s mind, especially with the exponential growth of connected devices thanks to the Internet of Things. But despite the growing attack surface, businesses everywhere cannot ignore the value of implementing IoT solutions. IoT security is complex, especially due to the nature of the legacy devices and the complex ecosystem,
Download Lantronix VP of Marketing Shahram Mehraban's 2018 Sensors Expo Keynote to learn more.
Similar to blockchain-introduction-pistoia-alliance (20)
Fairification experience clarifying the semantics of data matricesPistoia Alliance
This webinar presents the Statistics Ontology, STATO which is a semantic framework to support the creation of standardized analysis reports to help with review of results in the form of data matrices. STATO includes a hierarchy of classes and a vocabulary for annotating statistical methods used in life, natural and biomedical sciences investigations, text mining and statistical analyses.
This webinar discusses driving adoption of microphysiological systems (MPS) in drug R&D. The webinar agenda includes presentations on multi-organ chips for safety and efficacy assessment from TissUse, current applications and future perspectives of organ-on-chips in pharmaceutical industry from AstraZeneca, and driving adoption of MPS from ToxRox Consulting. A panel discussion will be moderated by Mary Ellen Cosenza. The presentations will cover benefits of MPS for reducing drug failures and animal testing, applications across drug discovery and development, challenges for adoption, and perspectives from industry.
Federated Learning (FL) is a learning paradigm that enables collaborative learning without centralizing datasets. In this webinar, NVIDIA present the concept of FL and discuss how it can help overcome some of the barriers seen in the development of AI-based solutions for pharma, genomics and healthcare. Following the presentation, the panel debate on other elements that could drive the adoption of digital approaches more widely and help answer currently intractable science and business questions.
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
Knowledge graphs ilaria maresi the hyve 23apr2020Pistoia Alliance
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
2020.04.07 automated molecular design and the bradshaw platform webinarPistoia Alliance
This presentation described how data-driven chemoinformatics methods may automate much of what has historically been done by a medicinal chemist. It explored what is reasonable to expect “AI” approaches might achieve, and what is best left with a human expert. The implications of automation for the human-machine interface were explored and illustrated with examples from Bradshaw, GSK’s experimental automated design environment.
This presentation reviewed the challenges in identifying, acquiring and utilizing research data in relation to an evolving data market. Strategic solutions were examined in which the FAIR principles play a key role in the future of data management.
Dr. Dennis Wang discusses possible ways to enable ML methods to be more powerful for discovery and to reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale.
The talk by Dr. Dennis Wang was followed by a panel discussion with Mr. Albert Wang, M. Eng., Head, IT Business Partner, Translational Research & Technologies, Bristol-Myers Squibb.
With the explosion of interest in both enhanced knowledge management and open science, the past few years have seen considerable discussion about making scientific data “FAIR” — findable, accessible, interoperable, and reusable. The problem is that most scientific datasets are not FAIR. When left to their own devices, scientists do an absolutely terrible job creating the metadata that describe the experimental datasets that make their way in online repositories. The lack of standardization makes it extremely difficult for other investigators to locate relevant datasets, to re-analyse them, and to integrate those datasets with other data. The Center for Expanded Data Annotation and Retrieval (CEDAR) has the goal of enhancing the authoring of experimental metadata to make online datasets more useful to the scientific community. The CEDAR work bench for metadata management will be presented in this webinar. CEDAR illustrates the importance of semantic technology to driving open science. It also demonstrates a means for simplifying access to scientific data sets and enhancing the reuse of the data to drive new discoveries.
Open interoperability standards, tools and services at EMBL-EBIPistoia Alliance
In this webinar Dr Henriette Harmse from EMBL-EBI presents how they are using their ontology services at EMBL-EBI to scale up the annotation of data and deliver added value through ontologies and semantics to their users.
Fair webinar, Ted slater: progress towards commercial fair data products and ...Pistoia Alliance
Elsevier is a global information analytics business that helps institutions and professional’s
advance healthcare and open science to improve performance for the benefit of humanity.
In this webinar, we discuss how Elsevier is increasingly leveraging the FAIR Guiding Principles to improve its products and services to better serve the scientific community.
Application of recently developed FAIR metrics to the ELIXIR Core Data ResourcesPistoia Alliance
The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reuse of digital resources. Using recently developed software and metrics to assess FAIRness and supported through an ELIXIR Implementation Study, Michel worked with a subset of ELIXIR Core Data Resources to apply these technologies. In this webinar, he will discuss their approach, findings, and lessons learned towards the understanding and promotion of the FAIR principles.
Implementing Blockchain applications in healthcarePistoia Alliance
Blockchain technology can revolutionise the way information is exchanged between parties by bringing an unprecedented level of security and trust to these transactions. The technology is finding its way into multiple use cases but we are yet to see full adoption and real-world business implementation in the Healthcare industry.
In this webinar we will explore the main challenges and considerations for the implementation of Blockchain technology in Healthcare use cases. This is the third webinar in our Blockchain Education series.
Building trust and accountability - the role User Experience design can play ...Pistoia Alliance
In this webinar our panel of UX specialists give a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
This document summarizes a webinar on using machine learning and data mining techniques to predict drug repurposing opportunities for chronic pancreatitis. Specifically:
1. Ensemble learning techniques like kernel-based models were used to analyze drug and disease target interaction data from multiple sources to identify potential drug candidates for repurposing.
2. The top 5 repurposing candidates identified through this process were being evaluated further by the partner organization Mission-Cure with the goal of beginning patient trials by January 2020.
3. Additional techniques discussed included using compressed sensing to analyze drug-disease networks and predict side effects to help evaluate candidate drugs identified for repurposing opportunities.
PA webinar on benefits & costs of FAIR implementation in life sciences Pistoia Alliance
The slides from the Pistoia Alliance Debates Webinar where a panel of experts from technology support providers and the biopharma industry, who have been invited to share their views on the "Benefits and costs of FAIR Implementation for life science industry".
Creating novel drugs is an extraordinarily hard and complex problem.
One of the many challenges in drug design is the sheer size of the search space for novel chemical compounds. Scientists need to find molecules that are active toward a biological target or pathway and at the same time have acceptable ADMET properties.
There is now considerable research going on using various AI and ML approaches to tackle these challenges.
Our distinguished speakers, Drs. Alex Tropsha and Ola Engkvist, will discuss their recent work in Drug Design involving Deep Reinforcement Learning and Neural Networks, and will answer questions from the audience on the current state of the research in the field.
Speakers:
Prof Alex Tropsha, Professor at University of North Carolina at Chapel Hill, USA
Dr. Ola Engkvist, Associate Director at AstraZeneca R&D, Gothenburg, Sweden
Alexander Tropsha presented on using AI and machine learning for drug design and discovery. He discussed using QSAR models to predict properties and activity of molecules based on their structural descriptors. He also introduced ReLeaSE, a new method using deep reinforcement learning to generate novel drug-like molecules and guide chemical library design through a thought cycle of molecule generation, model building, and iterative improvement. If successful, this approach could disrupt traditional computational drug discovery pipelines.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
What is an RPA CoE? Session 2 – CoE RolesDianaGray10
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
1. September 18, 2018
So that’s what a blockchain is!
An in-depth introduction
Presented by Wolfgang Prinz and Wolfgang Gräther, Fraunhofer FIT
Hosted by Richard Shute
3. Audience Q&A
Please use the GoToWebinar Question panel to submit questions.
Questions we do not get to during the presentation, will be answered in
writing after the webinar and posted with the recording on our website.
5. 5
Poll Question 1: What is your familiarity with blockchain?
A. I am using blockchain
B. I am experimenting with blockchain
C. I am aware of blockchain
D. I know next to nothing about blockchain
6. 6
Poll Question 2: What is your organization’s familiarity
with blockchain?
A. Actively using blockchain
B. Experimenting with blockchain
C. Aware of blockchain
D. Not sure about my organization
30. Poll Question 3: What do you consider the most relevant aspects
of blockchain in healthcare and life sciences (choose TWO) ?
A. The decentralized approach to replace platforms & intermediaries
B. The immutability of data
C. The ability to implement a cryptocurrency
D. The transparency
E. The automation potential through smart contracts