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The document describes a direct 3D microfabrication process developed by researchers at Ecole Polytechnique de Montreal and INRS. It allows for cost-effective, fast, scalable manufacturing of 3D microstructures using a variety of materials without the limitations of current techniques. The team is seeking partnerships for further development and commercialization, with target markets in tissue engineering, MEMS, and organic electronics estimated to be worth over $25 billion.
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1) Early intensity-modulated sensors like the "Fotonic" sensor from the 1970s that measured changes in light intensity.
2) Techniques for modulating light outside the fiber through effects like spectral slicing, interferometry, and resonant frequency modulation.
3) The use of fiber Bragg gratings starting in the 1970s to create wavelength-selective sensors for applications like temperature and strain sensing.
4) Sensing of electromagnetic fields using effects like Faraday rotation in optical fibers or
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Jing Li seeks a position as an SI/EMC engineer with extensive experience in EMC analysis and design. She has a PhD in electrical engineering from Missouri University of Science and Technology with a focus on signal integrity and computational electromagnetics. Her past work includes analyzing EMI issues at Cisco and developing absorbing materials to mitigate radiation. She has published several papers and her research analyzed the radiation mechanisms of optical links and connectors.
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This document discusses nanotechnology and its potential applications and future. It defines nanotechnology as the manipulation of matter at the nanoscale, which is one billionth of a meter. Some potential applications discussed include faster and smaller computers using nano chips and robots, electronic devices using nano transistors and diodes, improved batteries and solar cells using nano materials, and targeted drug delivery for medical uses. The document predicts that nanotechnology will revolutionize manufacturing by making it much cheaper and faster, and that it may change almost every human-made object in the next century according to experts. It also notes some potential disadvantages like job losses and increased accessibility of weapons.
Nano Technology
Nanotechnology involves manipulating matter at the nanoscale, around 1-100 nanometers. It can revolutionize fields like materials science, electronics, biotechnology and energy. Some applications include stronger and lighter nanomaterials, more powerful computers and batteries, targeted drug delivery, and tissue regeneration. Potential disadvantages include job losses, health impacts of nanotubes, and risks from advanced weapons. The future of nanotechnology is predicted to include electronic paper, smart contact lenses, and technologies that will change almost every manufactured object over the next century.
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SERENE 2014 School: Andras pataricza serene2014_school
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In this webinar, Robert Williams, PhD, and Mark Riccio will highlight the versatility of the Thermo Scientific™ HeliScan™ microCT, demonstrating the wide breadth of sample types and sizes that the instrument can characterize, such as: polymers, metals, manufactured parts, batteries, rock/porous media, electronics, bone and soft tissue (plants, insects, brain, etc). The HeliScan™ microCT creates valuable solutions by leveraging a helical scanning technique (found in clinical CT scanners) for large volume data acquisition and features a Lab6 X-ray filament for high resolution (400nm) capability.
The ease of use and high throughput of this system makes it ideal for investigations that need to identify and quantify a sample’s 3D internal structure (e.g. voids, cracks, pore networks, coatings, etc.) non-destructively. 4D structural dynamics can be studied by acquiring multiple 3D microCT datasets. Additionally, HeliScan™ microCT is an integral component of a multi-modal macro-scale to atomic-scale workflow involving focused ion beam/scanning electron microscopes and transmission electron (TEM) microscopes.
Nanomaterials invitation
This document proposes a five day workshop on designing low-cost nanomaterial-based sensors for internet of things applications. The workshop will be held from April 2-6, 2018 with 30 TEQIP faculty participants. It will be organized by Dr. Amit Acharyya, Dr. Sushmee Badhulika, and Dr. Ashudeb Dutta from IITH, along with one foreign or Indian expert. The workshop aims to provide an introduction to flexible substrate-based nanosensors, detection techniques, interfacing techniques, and digital system design aspects. Topics to be covered include flexible electronics, sensor fundamentals, nano sensor materials, sensor design processes, sensing interface design, applications of digital signal processing
An Introduction to CEMMNT
The document discusses micro and nano technology measurement and characterization services provided by the Centre for Measurement of Micro and Nano Technologies (CEMMNT). CEMMNT offers over 100 measurement techniques through five partner organizations to analyze micro and nano scale features. Their services help UK industries design and develop smaller, cheaper products across sectors like electronics, medical devices, and consumer goods.
How disruptive innovations shall alter our world
Disruptive & Breakthrough innovations alter our world. Some domains of Technology are altering and evolving at a pace that is almost alarming. However, the future is never predictable and a breakthrough technology in a domain can revolutionaries the way the world works and conducts without much warning. The Moore's Law was expected to hit a plateau and now with advent of Quantum computing it has again become relevant and computational speeds may even outpace Moore's Law. The material technologies including nano-science will continue to excite the researchers and Bio-sciences with synergising affects of other domains of science can be predicted to take giant leaps. Artificial Intelligence is probably expected to pervade everything we touch and feel.
Nikolaos Sotiriou, Presentation VLE-200989847
The document discusses the potential for graphene nanoelectronics to replace silicon in the semiconductor industry as silicon faces limitations. It analyzes how Intel could manage adopting graphene technology, including developing a technology roadmap, collaborating externally, and controlling graphene production. It also addresses communicating with the public about graphene nanotechnology to manage risk perception and promote its benefits.
Mems technology
This document discusses microelectromechanical systems (MEMS) fabrication methods. It covers common MEMS fabrication processes like deposition, lithography, and etching. Deposition methods include chemical vapor deposition and physical vapor deposition to deposit thin films. Lithography involves transferring patterns to photosensitive materials using masks and radiation exposure. Etching is used to selectively remove materials, including wet etching using chemicals and dry etching using reactive ions. The document also discusses challenges with MEMS packaging, limited prototyping and manufacturing options, and the need for improved design tools.
Integration of biosensors in the biomedical systems choices and outlook
This document discusses the integration of biosensors in biomedical systems. It provides an overview of different types of biosensors and criteria for their integration. A key point is that miniaturization and automation through microelectronics allows for lower production costs and portable integrated biosensor systems. The "Lab on a Chip" is presented as an example of an almost perfect integrated cell biosensor system that could be promising for the future due to its ability to control individual biosensors in a matrix to analyze multiple analytes. Thermal properties that may affect biosensor integration are also briefly reviewed.
Integration of biosensors in the biomedical systems choices and outlook
This document discusses the integration of biosensors in biomedical systems. It begins by introducing biosensors and their components. Miniaturization and automation are seen as advantageous for biosensor integration. The document then examines criteria for choosing integrated biosensors, such as compatibility with integrated circuits and low cost. Lab-on-a-chip is presented as an example of an almost perfect integrated biosensor system that could have promising future applications due to its ability to control individual biosensors in a matrix for multiple analyte analysis. Challenges to biosensor integration like interference and instability are also reviewed.
Integration of biosensors in the biomedical systems choices and outlook
This document discusses the integration of biosensors in biomedical systems. It provides an overview of different types of biosensors and criteria for their integration. Lab-on-chip is presented as an example of an almost perfect integrated biosensor system that could have promising applications in the future. Some key challenges to integration are miniaturization, compatibility with integrated circuits, cost, and factors that can impact stability or produce interference like temperature variations. Overall, the document evaluates technological and methodological evolutions that enable greater miniaturization and automation of biosensor integration.
Integration of biosensors in the biomedical systems choices and outlook
This document discusses the integration of biosensors in biomedical systems. It begins by introducing biosensors and their components. Miniaturization and automation are seen as advantageous trends. The criteria for integrating biosensors is then examined, with microelectronic techniques seen as most integrable. Lab-on-a-chip is presented as an example of an almost perfect integrated biosensor cell that promises to be a future technology. Thermal properties that could impact integration are also briefly reviewed. In conclusion, multidisciplinary research is needed for coherent development across different fields to further biosensor integration.
Overview and Implications of Nanotechnology
Mike Roco, National Science Foundation
18th June 2008, International Food Policy Research Institute, Washington D.C.
Convergent technology
The document discusses the development of convergent technologies for structural health monitoring, including the integration of biotechnology, nanotechnology, information technology, and cognitive science to create wireless sensor nodes. It provides an overview of structural health monitoring applications, the history and development of wireless sensors, and a critique of a paper on an impedance-based wireless sensor node. The document also examines the future impacts and challenges of convergent technologies.
ETE444-lec1-nano-introduction.pdf
This document provides an overview of the history and development of nanotechnology. It discusses key early developments like Richard Feynman's 1959 talk envisioning atomic engineering. It also covers the invention of the scanning tunneling microscope in 1981 and the discovery of buckyballs in 1985. The document then discusses the growth of the nanotechnology industry and funding increases over time. It provides examples of potential applications of nanotechnology and how properties become size-dependent at the nanoscale. Finally, it defines integrated circuits and microelectromechanical systems to provide context around miniaturization.
Mems introduction
MEMS (micro-electro-mechanical systems) are microscopic devices and integrated systems that combine electrical and mechanical components between 1-100 micrometers in size. They integrate sensors, actuators and electronics on a common silicon substrate through microfabrication technology. MEMS originated in the 1980s and are now used in automotive, biomedical, industrial and consumer applications. Some key advantages of MEMS include lower manufacturing costs, reduced size, and lower power consumption compared to macro-scale devices. Challenges include developing robust packaging and manufacturing processes for commercialization.
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EXPLORING MEMS AS TRANSDUCERS and ELECTROPHYSIOLOGICAL CHARACTERISATION OF CE...
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Advanced MicroCT for Non-Destructive 3D Multiscale Analysis
Advanced MicroCT for Non-Destructive 3D Multiscale Analysis
Integration of biosensors in the biomedical systems choices and outlook
Integration of biosensors in the biomedical systems choices and outlook
Integration of biosensors in the biomedical systems choices and outlook
Integration of biosensors in the biomedical systems choices and outlook
Integration of biosensors in the biomedical systems choices and outlook
Integration of biosensors in the biomedical systems choices and outlook
Integration of biosensors in the biomedical systems choices and outlook
Integration of biosensors in the biomedical systems choices and outlook
More from ThomasUnivalor
Sciences engineering portfolio (2010 08 05)
Researchers propose transporting viscous oil via pipeline by forming an emulsion of heavy crude oil, water, and fine particles. This Pickering emulsion would have a lowered viscosity equivalent to oil with an API gravity over 20, making it easily transportable. A variety of particle types and sizes can be used to form a stable layer encapsulating the oil or water droplets. Adding 15-30% water to the oil produces an emulsion suitable for pipeline transport, providing a more cost-effective and environmentally friendly method of moving viscous oil compared to current dilution and separation processes.
Image Interpolation
The document describes the CEDCT (Continuous Extension of the Discrete Orbit Function Transform) interpolation algorithm. CEDCT is based on Lie groups and can be applied for 2D and 3D image and data interpolation. It has advantages over other interpolation methods like bilinear and bicubic in terms of speed and reducing artifacts like aliasing, blurring, and edge halos through adaptive filtering. Examples show CEDCT better preserves details and textures compared to other methods for image and MRI data interpolation.
Color Changing Fibers
This document discusses color changing photonic crystal fibers for textile applications. Researchers led by Pr. Maksim Skorobogatiy at École Polytechnique de Montréal have developed a simple idea to produce color changing fibers using the fiber's geometry design. The fibers can change color on demand without mechanical deformations using a single white light source. This passive technology could enable applications like variable colored uniforms and signs. The researchers are seeking partnerships for further development and market deployment.
The Mr Sub Technology
1. The MR-SUB technology uses magnetic micro-carriers guided by MRI to deliver targeted cancer therapies directly to tumors through the bloodstream, providing a more direct and less toxic alternative to chemotherapy.
2. It has the potential to revolutionize cancer treatment by navigating therapeutic agents to inaccessible tumor sites using micro-carriers and the patient's own vascular network.
3. The technology has received years of R&D funding and testing in animal models, and the inventors are now seeking management and funding to commercialize the MR-SUB platform.
Filterless Corlor Imaging Sensor
The document describes a new filterless color imaging sensor that combines advantages of CMOS and CCD sensors. It is small, low cost, high resolution, and high sensitivity with low power consumption. The sensor relies on wavelength penetration into silicon to detect red, green and blue colors at each pixel without using optical filters. This simple innovation allows for a 4 megapixel sensor the size of a current 2 megapixel phone sensor. The technology was developed at an academic institution and is seeking partnerships for further development and market deployment.
Filterless Corlor Imaging Sensor
The document describes a new filterless color imaging sensor that combines advantages of CMOS and CCD sensors. It is small, low cost, high resolution, and high sensitivity with low power consumption. The sensor relies on wavelength penetration into silicon to detect red, green, and blue colors at each pixel without using optical filters. This simple innovation seeks partners for further development and market deployment in applications like mobile phones, cameras, robotics and medical imaging.
Filterless Corlor Imaging Sensor
The document describes a new filterless color imaging sensor that combines advantages of CMOS and CCD sensors. It is small, low cost, high resolution, and high sensitivity with low power consumption. The sensor relies on wavelength penetration into silicon to detect red, green, and blue colors at each pixel without using optical filters. This simple innovation allows for a 4 megapixel sensor the size of a current 2 megapixel phone sensor. The technology was developed at a Canadian academic institution and the researchers are seeking partnerships for further development and market deployment.
Spasticity
There is a need for anthropomorphic flow phantoms that allow in vitro investigation of vascular diseases such as stenoses and abdominal aortic aneurysms. We offer a patent pending multimodality imaging phantom with superior caracteristics that fill this need. Univalor is seeking an exclusive or an non-exclusive license agreement with a company in the medical imaging market.
Phantoms
Present clinical scales used to estimate spasticity, a neurogical symptom, have questionable validity, inconsistent reliability and are subjective. We offer the first clinical device for a valid, reliable, and objective measurement of spasticity. The technology is currently available for exclusive or non-exclusive licensing to a medical/rehabilitation technology company that will develop the technology into a marketable device or integrate it into an existing one.
Sterilization
Low temperature and low pressure sterilization process using gas plasma that has short term commercial application in the healthcare sector
Photonics West 2008
The document summarizes several innovations from Ecole Polytechnique de Montréal related to photonics and wireless communications. These include direct laser machining of waveguides, tunable fiber lasers, using optical fibers to create sound, tunable delay lines, adaptive radiation pattern antennas, and low-cost high-power fiber amplifiers. Experts are listed for each innovation along with their areas of expertise and contact information.
Position-Location in Mobile Networks Using a Single Base Station
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Deep Information and Extraction Tool
DIET is an information extraction and manipulation tool that can extract information from the deep web by understanding page structures. It uses artificial intelligence to build automatic wrappers with little to no user intervention. Once information is extracted, DIET allows users to easily manipulate and export the data in multiple formats. DIET was developed by researchers at Univalor to be a tool for deep web searching and information extraction across different domains and sources on the internet.
Anti Counterfeiting Filters
The document discusses anti-counterfeiting filters for currencies, IDs, and goods. It describes existing technologies like barcodes, RFID, and holograms and their limitations. The presented technology uses optically variable devices with interference filters and polymers that change color with viewing angle to provide verification difficult to reproduce. When the filter and polymer are patterned with a logo and their transmission spectra are designed to be metameric, they will closely match colors across viewing angles, serving as effective authentication.
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Recently uploaded
CAKE: Sharing Slices of Confidential Data on Blockchain
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Columbus Data & Analytics Wednesdays - June 2024
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Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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.
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National Security Agency - NSA mobile device best practices
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Direct Writing
- 1. Direct 3D Di 3D Microfabrication Process Presented by Thomas Martinuzzo Project Manager, Sciences and Engineering thomas.martinuzzo@univalor.ca
- 2. Overview Method b ild Functionalized 3D Mi M h d to build F i li d 3D Microstructures Seeking Partnerships in Development and Market Deployment in Development Market : $25 billions in 2009 (Micro‐system technologies) Inventors: Ecole Polytechnique de Montreal + INRS Intellectual Property: US Patent Application (12/252,722)
- 4. MEMS, NEMS and Organic Electronics MEMS NEMS and Organic Electronics Current microfabrication t h i C t i f b i ti techniques MicroElectroMechanicalSystem Organic electronics lithographic methods Solvent Casting (prof. Peter, EPM) (Aissa, INRS‐EMT) Do not allow direct manufacturing of devices in 3D 4
- 5. State of the art… Current Limitations C t Li it ti Limited Range of Materials Limited Range of Materials The structure needs to be physically supported p y y pp Cannot be used straightforwardly Require a controlled environment
- 6. Technical aspects Advantages: – Cost‐effective Cost effective – Fast – Scalable Radiation Dispensing – Repetitive source apparatus – Low environmental requirements – Direct writing of 3D structures – Variability of materials – Variability of radiation source Variability of radiation source Extruded material (UV, Visible light, etc.) Schematic 6
- 7. 3D microstructures: applications 3D microstructures: applications Tissue Engineering MEMS 1 mm 2.5 mm Tailored scaffold structure Nanocomposite spring Organic electronics 2.5 mm Conductive Polymer Electrical Contacts 7
- 8. Target Markets Target Markets • Ti Tissue Engineering E i i – $15 billion now $ • MEMS – $12.5 billion in 2010 • Organic Electronics Organic Electronics – $25 billion in 2015 – $250 billions in 2025 8
- 9. Team Louis Laberge Lebel, Ph.D Louis Laberge Lebel Ph D Student • Ecole Polytechnique de Montreal Pr. Daniel Terriault, Ph.D • Professor Pr. My Ali El Khakani, Ph.D • Professor INRS Brahim Aissa, Ph.D Student • INRS INRS-EMT
- 10. Summary Simple Idea Si l Id Developed Within Academic Institution Through Boostrapping Financing g pp g g Core IP Various Market Segments Looking For Partnerships in Development and Market Deployment p y
- 11. Direct 3D Microfabrication Process Thomas Martinuzzo thomas.martinuzzo@univalor.ca thomas martinuzzo@univalor ca