Антон Стародубцев "Як створити сайт швидко. Огляд конструкторів сайтів та гот...Електронні книги Ранок
Вебінар Стародубцева Антона "Як створити сайт швидко. Огляд конструкторів сайтів та готових шаблонів для розробки", який відбувся в межах Дистанційних курсів "Якщо Вас немає в Інтернеті, то Ви не існуєте», або як створити власний сайт чи групу в соціальних мережах" Відділу електронних книг Видавництва "РАНОК".
The document repeats phrases praising God for being good and answering prayers. It states that God is good and answers prayers multiple times, concluding that God is good to the speaker. The document also credits its development to #itzPrem and encourages visiting itzprem.com.
Jeong Dongryul is from Korea and comes from a family of 4 people - he is the oldest child with a sister named Jiyeon, and his parents are named Meehee and Hyoyeon. The family lives in Seoul, Korea.
Вебінар Михайлової Катерина "Яку соціальну мережу обрати?" в межах Дистанційного курсу "«Якщо Вас немає в Інтернеті, то Ви не існуєте», або як створити власний сайт чи групу в соціальних мережах"
LEOcoin is a new cryptocurrency that aims to be anonymous, secure, and user-friendly. It has several key advantages over other cryptocurrencies like Bitcoin, including true anonymity through advanced encryption, resistance to ASIC mining monopolization, and a hybrid proof-of-work and proof-of-stake system to reduce risks of attacks. LEOcoin transactions are very low cost, can be done globally very quickly, and require no specialized knowledge to use. The founders believe LEOcoin has the potential to become a leading global digital currency for entrepreneurs and individuals.
Антон Стародубцев "Як створити сайт швидко. Огляд конструкторів сайтів та гот...Електронні книги Ранок
Вебінар Стародубцева Антона "Як створити сайт швидко. Огляд конструкторів сайтів та готових шаблонів для розробки", який відбувся в межах Дистанційних курсів "Якщо Вас немає в Інтернеті, то Ви не існуєте», або як створити власний сайт чи групу в соціальних мережах" Відділу електронних книг Видавництва "РАНОК".
The document repeats phrases praising God for being good and answering prayers. It states that God is good and answers prayers multiple times, concluding that God is good to the speaker. The document also credits its development to #itzPrem and encourages visiting itzprem.com.
Jeong Dongryul is from Korea and comes from a family of 4 people - he is the oldest child with a sister named Jiyeon, and his parents are named Meehee and Hyoyeon. The family lives in Seoul, Korea.
Вебінар Михайлової Катерина "Яку соціальну мережу обрати?" в межах Дистанційного курсу "«Якщо Вас немає в Інтернеті, то Ви не існуєте», або як створити власний сайт чи групу в соціальних мережах"
LEOcoin is a new cryptocurrency that aims to be anonymous, secure, and user-friendly. It has several key advantages over other cryptocurrencies like Bitcoin, including true anonymity through advanced encryption, resistance to ASIC mining monopolization, and a hybrid proof-of-work and proof-of-stake system to reduce risks of attacks. LEOcoin transactions are very low cost, can be done globally very quickly, and require no specialized knowledge to use. The founders believe LEOcoin has the potential to become a leading global digital currency for entrepreneurs and individuals.
AirBit Club Brasil - ® Oficial
A AirBit Club se destaca no mercado por ser a primeira empresa a fechar parceria com a maior mineradora de Bitcoins do mundo. A Empresa utiliza a maior parte dos recursos captados em mais de 180 países para ampliar o números de máquinas com alta capacidade de mineração e assim se tornar o maior clube de Bitcoins.
Os pacotes pagam com base na quantidade de Bitcoins extraído diariamente, ou seja, você vai ganhar BTC todos os dias, os pagamentos serão feitos com Bitcoins reais e pagos diretamente para a carteira de Bitcoin de sua preferência. Diferentes de outras, a AirBit paga Bitcoin de verdade, e não pontos em BackOffice.
----------------------------------------------------------
PARTICIPE DO PRIMEIRO E MAIOR GRUPO AIRBIT CLUB DO BRASIL:
----------------------------------------------------------
Curta a Página AirBit Club Brasil no Facebook: http://on.fb.me/1KEcLY2
Inscreva-se em nosso Canal AitBit Club Youtube: http://bit.ly/1RafkDE
Inscreva-se em nosso Canal AitBit Club Vimeo: http://bit.ly/1FwzXc3
Seja amigo do Grupo AirBit Club Brasil no Facebook: http://bit.ly/1FBZ0tK
Siga AirBit Brasil no Twitter: http://bit.ly/1iDpjVY
Participe do nosso Grupo no Facebook: http://on.fb.me/1P0lCGE
Leia nossas publicações no Slideshare: http://bit.ly/1KKuqKz
----------------------------------------------------------
AirBit club, Air Bit Club, AirBitBrasil, AirBit Club Brasil, Air, Bit, Club, Bitcoin, Bitcoins, MMN, marketing, Multinível, pagamento, BTC, Brasil, Apresentação, cadastro, BTC, carteira, criptografia, mineração, p2p, hash, Lançamento, Mundial, empresa, primeira, ganhos, diários, legal, moeda, virtual, pagamento, câmbio
This document discusses using Python and PyData tools for baseball analytics. It introduces Shinichi Nakagawa, a baseball analyst and Python expert. It explains common PyData tools like Grafana, Redash and Jupyter Notebook, and how they can be used to visualize and analyze baseball metrics and stats. It also discusses using Python and scraping to analyze run creation (RC) and run creation per 27 outs (RC27) stats to evaluate player and team performance.
AirBit Club Espanol Presentacion y Plan de compensacionairbitclub
El documento habla sobre Bitcoin, una moneda digital creada en 2009 por Satoshi Nakamoto que funciona de forma descentralizada sin un administrador central. Describe una empresa llamada AirBit Club que ofrece membresías para que las personas se unan a la industria de Bitcoin y generen ganancias a través de la minería de criptomonedas como Bitcoin. El club comprará contratos de minería con el 50% de las ganancias y usarán el otro 50% para pagar a los miembros en función del volumen minado.
This document summarizes a presentation given at PyCon JP 2016 about analyzing baseball data with Python. The presentation introduced the speaker, Shinichi Nakagawa, and discussed using the MLBAM dataset and Python libraries like pandas and matplotlib to analyze pitching data. Specific examples analyzed the pitching of Yu Darvish before and after Tommy John surgery, compared Ichiro Suzuki and Joey Votto's batting, and looked at pitch location data to study the strike zone. The presentation emphasized the usefulness of Python for accessing and analyzing sports data.
O documento descreve o Bitcoin, uma moeda digital criada em 2009 por Satoshi Nakamoto que funciona de forma descentralizada sem um administrador único. Explica como você pode usá-lo para compras ao redor do mundo e converter para sua moeda local. Também menciona a AirBit Club, uma plataforma para comercialização e mineração de criptomoedas usando Bitcoin.
D9 presentation clube http://d9clube.mediatron.com.br/gilsonlondonuk10Jordan Carter
http://d9clube.mediatron.com.br/gilsonlondonuk10 Você é fã de esportes?
Gostaria de trabalhar com algo divertido, dinâmico e que te dê prazer?
Da sua casa, da praia, da montanha ou de qualquer lugar onde exista sinal de internet? Não ter um chefe chato no seu pé?
E ainda por cima obter uma renda mensal que pode ser equivalente ao salário de um bom cargo público?
Se você disse “sim” para alguma dessas perguntas, Entre em contato!
Procuro apenas 10 lideres focados e determinados para ganhar 300 mil em 2017.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
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!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
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.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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.
AirBit Club Brasil - ® Oficial
A AirBit Club se destaca no mercado por ser a primeira empresa a fechar parceria com a maior mineradora de Bitcoins do mundo. A Empresa utiliza a maior parte dos recursos captados em mais de 180 países para ampliar o números de máquinas com alta capacidade de mineração e assim se tornar o maior clube de Bitcoins.
Os pacotes pagam com base na quantidade de Bitcoins extraído diariamente, ou seja, você vai ganhar BTC todos os dias, os pagamentos serão feitos com Bitcoins reais e pagos diretamente para a carteira de Bitcoin de sua preferência. Diferentes de outras, a AirBit paga Bitcoin de verdade, e não pontos em BackOffice.
----------------------------------------------------------
PARTICIPE DO PRIMEIRO E MAIOR GRUPO AIRBIT CLUB DO BRASIL:
----------------------------------------------------------
Curta a Página AirBit Club Brasil no Facebook: http://on.fb.me/1KEcLY2
Inscreva-se em nosso Canal AitBit Club Youtube: http://bit.ly/1RafkDE
Inscreva-se em nosso Canal AitBit Club Vimeo: http://bit.ly/1FwzXc3
Seja amigo do Grupo AirBit Club Brasil no Facebook: http://bit.ly/1FBZ0tK
Siga AirBit Brasil no Twitter: http://bit.ly/1iDpjVY
Participe do nosso Grupo no Facebook: http://on.fb.me/1P0lCGE
Leia nossas publicações no Slideshare: http://bit.ly/1KKuqKz
----------------------------------------------------------
AirBit club, Air Bit Club, AirBitBrasil, AirBit Club Brasil, Air, Bit, Club, Bitcoin, Bitcoins, MMN, marketing, Multinível, pagamento, BTC, Brasil, Apresentação, cadastro, BTC, carteira, criptografia, mineração, p2p, hash, Lançamento, Mundial, empresa, primeira, ganhos, diários, legal, moeda, virtual, pagamento, câmbio
This document discusses using Python and PyData tools for baseball analytics. It introduces Shinichi Nakagawa, a baseball analyst and Python expert. It explains common PyData tools like Grafana, Redash and Jupyter Notebook, and how they can be used to visualize and analyze baseball metrics and stats. It also discusses using Python and scraping to analyze run creation (RC) and run creation per 27 outs (RC27) stats to evaluate player and team performance.
AirBit Club Espanol Presentacion y Plan de compensacionairbitclub
El documento habla sobre Bitcoin, una moneda digital creada en 2009 por Satoshi Nakamoto que funciona de forma descentralizada sin un administrador central. Describe una empresa llamada AirBit Club que ofrece membresías para que las personas se unan a la industria de Bitcoin y generen ganancias a través de la minería de criptomonedas como Bitcoin. El club comprará contratos de minería con el 50% de las ganancias y usarán el otro 50% para pagar a los miembros en función del volumen minado.
This document summarizes a presentation given at PyCon JP 2016 about analyzing baseball data with Python. The presentation introduced the speaker, Shinichi Nakagawa, and discussed using the MLBAM dataset and Python libraries like pandas and matplotlib to analyze pitching data. Specific examples analyzed the pitching of Yu Darvish before and after Tommy John surgery, compared Ichiro Suzuki and Joey Votto's batting, and looked at pitch location data to study the strike zone. The presentation emphasized the usefulness of Python for accessing and analyzing sports data.
O documento descreve o Bitcoin, uma moeda digital criada em 2009 por Satoshi Nakamoto que funciona de forma descentralizada sem um administrador único. Explica como você pode usá-lo para compras ao redor do mundo e converter para sua moeda local. Também menciona a AirBit Club, uma plataforma para comercialização e mineração de criptomoedas usando Bitcoin.
D9 presentation clube http://d9clube.mediatron.com.br/gilsonlondonuk10Jordan Carter
http://d9clube.mediatron.com.br/gilsonlondonuk10 Você é fã de esportes?
Gostaria de trabalhar com algo divertido, dinâmico e que te dê prazer?
Da sua casa, da praia, da montanha ou de qualquer lugar onde exista sinal de internet? Não ter um chefe chato no seu pé?
E ainda por cima obter uma renda mensal que pode ser equivalente ao salário de um bom cargo público?
Se você disse “sim” para alguma dessas perguntas, Entre em contato!
Procuro apenas 10 lideres focados e determinados para ganhar 300 mil em 2017.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
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!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
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.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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.
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!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.