Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
Artificial intelligence is reshaping business, and the time is ripe for companies to capitalise AI. The organisation can use AI to move their focus from discrete business problems to significant business challenges.
An organisation should use ML and Data Science to drive digital transformation for more back-office operational efficiency, better user/engagement, smoother onboarding, and better ROI by lowering cost and bring more data-driven taking mechanism for transparency.
AI will be a valuable, transformational change agent not only to the way business is done but to the way people live their daily lives if it isn't perceived as a plug-and-play technology with immediate returns but more like a long term solution to rewire the organisation.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and CostAggregage
Join Shreya Rajpal, CEO of Guardrails AI, and Travis Addair, CTO of Predibase, in this exclusive webinar to learn all about leveraging the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future!
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
Global Governance of Generative AI: The Right Way ForwardLilian Edwards
AI regulation has been a hot topic since the rise of machine learning (ML) in the “big data” era, but generative AI or “foundation models” tools like ChatGPT, DALL-E 2(now 3) and CoPilot, ike ML before them, may create serious societal risks, including embedding and outputting bias; generating fake news, illegal or harmful content and inadvertent “hallucinations”; infringing existing laws relating eg to copyright and privacy; as well as environmental, competition and workplace concerns.
Many nations are now considering regulation to address these worries, and can draw on a number of basic and hybrid models of governance. This paper canvasses models of mandatory comprehensive legislation (where the EU AI Act hopes to place itself as a gold standard model); vertical mandatory legislation (where China has quietly taken a lead); adapting existing law (see the many copyright lawsuits underway); and voluntary “soft law” such as codes of ethics, “blueprints”, or industry guidelines. Both the domestic and international regulatory scenes for AI are also increasingly politicised as the rise of "AI safety" hype shows. Against this backdrop what choices should smaller countries such as the UK and Australia make? will international harmonisation lead to a race to the top as with the GDPR, or the bottom - rule by tech for tech?
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
This presentation presents an overview of the challenges and opportunities of generative artificial intelligence in Web3. It includes a brief research history of generative AI as well as some of its immediate applications in Web3.
When it comes to creating an enterprise AI strategy: if your company isn’t good at analytics, it’s not ready for AI. Succeeding in AI requires being good at data engineering AND analytics. Unfortunately, management teams often assume they can leapfrog best practices for basic data analytics by directly adopting advanced technologies such as ML/AI – setting themselves up for failure from the get-go. This presentation explains how to get basic data engineering and the right technology in place to create and maintain data pipelines so that you can solve problems with AI successfully.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
Presenting the landscape of AI/ML in 2023 by introducing a quick summary of the last 10 years of its progress, current situation, and looking at things happening behind the scene.
Artificial intelligence is reshaping business, and the time is ripe for companies to capitalise AI. The organisation can use AI to move their focus from discrete business problems to significant business challenges.
An organisation should use ML and Data Science to drive digital transformation for more back-office operational efficiency, better user/engagement, smoother onboarding, and better ROI by lowering cost and bring more data-driven taking mechanism for transparency.
AI will be a valuable, transformational change agent not only to the way business is done but to the way people live their daily lives if it isn't perceived as a plug-and-play technology with immediate returns but more like a long term solution to rewire the organisation.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and CostAggregage
Join Shreya Rajpal, CEO of Guardrails AI, and Travis Addair, CTO of Predibase, in this exclusive webinar to learn all about leveraging the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future!
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
Global Governance of Generative AI: The Right Way ForwardLilian Edwards
AI regulation has been a hot topic since the rise of machine learning (ML) in the “big data” era, but generative AI or “foundation models” tools like ChatGPT, DALL-E 2(now 3) and CoPilot, ike ML before them, may create serious societal risks, including embedding and outputting bias; generating fake news, illegal or harmful content and inadvertent “hallucinations”; infringing existing laws relating eg to copyright and privacy; as well as environmental, competition and workplace concerns.
Many nations are now considering regulation to address these worries, and can draw on a number of basic and hybrid models of governance. This paper canvasses models of mandatory comprehensive legislation (where the EU AI Act hopes to place itself as a gold standard model); vertical mandatory legislation (where China has quietly taken a lead); adapting existing law (see the many copyright lawsuits underway); and voluntary “soft law” such as codes of ethics, “blueprints”, or industry guidelines. Both the domestic and international regulatory scenes for AI are also increasingly politicised as the rise of "AI safety" hype shows. Against this backdrop what choices should smaller countries such as the UK and Australia make? will international harmonisation lead to a race to the top as with the GDPR, or the bottom - rule by tech for tech?
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
This presentation presents an overview of the challenges and opportunities of generative artificial intelligence in Web3. It includes a brief research history of generative AI as well as some of its immediate applications in Web3.
When it comes to creating an enterprise AI strategy: if your company isn’t good at analytics, it’s not ready for AI. Succeeding in AI requires being good at data engineering AND analytics. Unfortunately, management teams often assume they can leapfrog best practices for basic data analytics by directly adopting advanced technologies such as ML/AI – setting themselves up for failure from the get-go. This presentation explains how to get basic data engineering and the right technology in place to create and maintain data pipelines so that you can solve problems with AI successfully.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
Presenting the landscape of AI/ML in 2023 by introducing a quick summary of the last 10 years of its progress, current situation, and looking at things happening behind the scene.
Mike McBride will provide a look at the Industrial IoT (IIoT) landscape and the OT/IT convergence. He will cover several use cases including healthcare, entertainment and smart buildings. He will cover the challenges IIoT networking faces with emerging technologies and how edge computing will provide increased performance, security and reliability. Mike will discuss the various Edge Computing standards & opensource forums along with proposed architectures. And Mike will present new solutions being proposed (ICN, slicing, Blockchain) to support the bandwidth, latency and security requirements within Industrial verticals.
About the speaker: As Sr. Director of Innovation & Strategy, within Huawei's IP Network BU, Mike leads Industrial IoT, Edge Computing and IP/SDN architecture, standardization, and strategy across product lines and industry forums. He leads architecture and standardization activities within the IIc and BBF and has served as an IETF Working Group chair for 15 years. Mike has led emerging technology projects within opensource communities and played a key role in the formation of OPEN-O (Now ONAP). He is an Ericsson alum where he developed and directed SDN/NFV network architectures. And for many years with Cisco, Mike supported customers, worked in development teams and managed mobility, wireless and video projects across BUs. Mike began his career supporting customers at Apple Computer. He resides in Orange County, CA
Cognitel is Huawei authorized Training Academy(HANA) .This year Huawei has started their 6 months industrial training program, those undergoing training would be getting course completion certificate from Huawei , where as those performing well in their assessment program would be getting opportunity to sit in Huawei HCIG certification . HCIG certified students would be interviewed by Huawei and associated companies if any requirement arises .
Please click below link to complete registration process
http://goo.gl/tP7iGa
Industry pundits are predicting up to 50 billion connected devices by 2020, generating more data than in all of human history to date and connected via ubiquitous, connectivity such as 5G, Sigfox and NBIoT. With this comes the promise of business opportunities to deploy your Internet of Things solution. Ganga will walk you through the trends in computing that you need to be aware of, how you can get started and how working with Intel can accelerate your development and time to market.
Speaker: Ganga Varatharajan, IoT & New Technologies Manager, Intel
Internet Of Things(IoT) is emerging technology in future world.The term IoT comprises of Cloud computing, Data mining,
Big data analytics, hardware board. The Security and Interoperability is a main factor that influences the IoT Enegy
consumption is also main fator for IoT application designing.The various protocols such as MQTT,AMQP,XMPP are used in
IoT.This paper analysis the various protocols used in Internet of Things.
Building a reliable and scalable IoT platform with MongoDB and HiveMQDominik Obermaier
Today’s Internet of Things (IoT) is enabling companies to blend together the physical and digital worlds, creating new business models and generating insights that increase productivity at once unimaginable levels. However, managing the ever growing volume of heterogeneous IoT data from disparate devices, systems and applications both on premise and in the cloud can be a challenging endeavour without a scalable and reliable IoT platform.
In this webinar, we will explore why and how companies are leveraging HiveMQ and MongoDB to build exactly that: a scalable and reliable IoT platform. Based upon a sample fleet management scenario, we will explain how telematics data can be routed via MQTT and efficiently stored to provide analytics and insights into the data.
Key Learnings
- Common challenges and pitfalls of IoT projects
- Required components for effectively handling data with an IoT platform
- HiveMQ for MQTT to enable bi-directional device communication over unstable networks
- MongoDB as the flexible and scalable modern data platform combining data from different sources and powering your applications
- Why MongoDB and HiveMQ is such a great combination
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2016-member-meeting-khronos
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Mark Bünger, Vice President of Research at Lux Research, delivers the presentation "Imaging + AI: Opportunities Inside the Car and Beyond" at the December 2016 Embedded Vision Alliance Member Meeting. Bünger presents his firm’s perspective on how embedded vision will upend the automotive industry.
Iot basics & evolution of 3 gpp technolgies for iot connectivityKAILASH CHAUHAN
#IOT BASICS & EVOLUTION OF 3GPP TECHNOLOGIES FOR IOT CONNECTIVITY
#IOT-Internet of Things Handbook
#Cellular NW for Massive IOT
#LTE_Evolution_for_IoT_Connectivity
Smart Digital Port Market Transformation thanks to Internet of Things (IoT), Artificial Intelligence (AI), Digital Twin, (private) 5G/B5G, C-V2X, and Robotics (incl. UAV/UTM).
Whilst first commercial deployments of the next 6th Generation Cellular Networks are estimated to land in 2030, bringing ubiquitous intelligence, hyper-connectivity, merging physical and cyber domains, triggering new usages and services, the Robotics market size is forecast to reach USD 214.68 billion, growing at a compound annual growth rate of 22.8% by 2030, with a valuation of approximately USD 340 billion by the end of 2040. We’ll thus highlight key usages and services within the wide domain of robotics that start to benefit from 5G/B5G, and that will be reinforced and upscaled thanks to 6G technology.
industry overview of technology (A.I, C-V2X, 5G/6G) and application (DMS/ADAS, A.V, A.R, ...) trends being deployed or coming in near future, to adress the challenge of the Decade for Road Safety: cutting deaths and injuries by 50% by 2030. Taking this opportunity to identify some 5G/B5G/6G promising features to support the vision.
Sagemcom Speech regarding Major Trends with IoT LPWAN Geoloction challenges, and products solutions such as GPS Offload, WiFi sniffing, BLE proximity, and of course including native triangulation from LoRaWAN, whch brings overall disruption.
LoRa Alliance presentation Marketing Day 2016; Impacts & benefits from internet of things onto Digital Marketing stratégies & policies, and iterative product design
LoRa Alliance role & vision for IoT Governance - Digital Single Market supporter & GDPR friendly, @ECTA Regulatory Conference in Brussels, 9th of November 2016
Geolocation with LPWAN LoRa IoT Networks, a "Must have" Killer application. Benefits from Radio degree of Freedom brought by LoRaWAN Network, adaptive data rates, Femtocells densification - illustration of performance trends.
Authors: Thierry Lestable (Ph.D), Massinissa Lalam (Ph.D) and Maxime Grau
Supelec m2 m - iot - course 1 - update 2015 - part 3 - conclusion - v(0.1)Thierry Lestable
Conclusion - Supélec 2015 - course introduction to Internet of Things (IoT) and M2M. Multimedia part - Connected TV/Smart TV, 4K, cloud offers ramp-up, Net Neutrality
CNAM course part 2, Introduction to Internet of Things (IoT), and M2M (Machine to Machine)...Long Range Low Power (LRLP) Networks (SigFox, LoRA), 4G LTE, Smart Grids, and Intelligent Transport System (ITS) / SmartCar
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
1. tii.ae
Revolutionizing Industries:
The Next Wave of Digital Transformation
Acceleration by Generative AI
Thierry Lestable, Ph.D, Dipl-lng.
Executive Director,
Artificial Intelligence and Digital Science Research Center
2. TII – Technology Innovation Institute
Generative AI
Tip of the Iceberg…
3. TII – Technology Innovation Institute
Beyond the Hype…
Adoption on the way…
5. 5
TII – Technology Innovation Institute
LLM Market Landscape
A limited number
of major players
as cornerstone
platforms…
Platform
… Supporting
hundreds of
startups focused
on end-user
applications
Model
SIZE
[Bn parameters]
Training
tokens [bn]
LaMDA
137
168
GPT-3
175
300
Jurrasic
178
300
Gopher
280
300
Megatron-
Turing
530
270
Text Image Audio Video Code
Chatbots Search Gaming Data ML platforms
+ others
10. 10
TII – Technology Innovation Institute
Self-Healing/patching SW (1/2)
Experimental Set-up
• Processor: AMD Ryzen Threadripper
PRO 3995WX
• Cores: 16
• RAM: 256 GB
• Model: MacBook Pro (2017)
• RAM: 16 GB RAM of LPDDR3
RAM (2133 MHz)
• Processor: 2.5 GHz Intel Core i7-
7660U
Code Generation
Code Repair
Benchmarks
Generate 1000 programs with the
following prompt.
Objectives
To answer the following research
questions.
RQ1: (Code generation) Are the state-
of-the-art GPT models capable of
producing compilable, semantically
correct programs?
RQ2: (Program repair) Can external
feedback improve the bug detection
and patching ability of the GPT models?
RQ: Requirement
The Quest to the Holy Grail…
11. 11
TII – Technology Innovation Institute
Self-Healing/patching SW (2/2)
Original
code
Modified code
LLM
Verification
Successful
Code +
Property
violation
10 to 50 lines of
compilable C code.
99.9% compilable
codes
80% of the generated code buffer overflow and dereference failures could
be fixed in a maximum of three iterations.
RQ1
RQ2
Model Checker
80% SW Fixed
in Max 3
iterations
12. TII – Technology Innovation Institute
Cobots (Collaborative Robots)
Industry 5.0
- Leveraging the Potential of Private Network
- Ultra-Reliable Low Latency Communication (URLLC): 0.1ms
- High bandwidth (eMBB): peak Tbps, average: Gbps / (sub)TeraHz
communications
- Density sensors: 10 Millions/km2
- Teleoperation feasible
Generative AI & LLM are going to accelerate his further
13. 13
TII – Technology Innovation Institute
Generative AI (1/2)
A New Era is Coming…
Besides usual supportive specialized (fine-tuning) and conversational
applications, the multimodality opens new applications for Control
Command Centers, thanks to retrieval & generation of information based
on limited sources (since mapping with other ‘sensing’ has been trained).
Furthermore, introducing new Modalities is feasible and facilitated, with
vision model still as the keystone (image-paired data).
1) Text Generation & retrieval
2) Conversation
3) Summarization
4) Multi-Lingual
Multimodal
“image-paired data is sufficient to bind together these six modalities”,
NO NEED for JOINT Embeddings: paired-data sufficient.
14. 14
TII – Technology Innovation Institute
Generative AI (2/2)
Multi-Modality and Embodiment as Keystone To Interface With Real-World
Promising new Generation/Direction for:
• Robot Manipulation
• Task and Motion Planning (TAMP)
Whilst still performing Visual-Language
PaLM: Pathways Language model
Long
Horizon
tasks
15. 15
TII – Technology Innovation Institute
Digital Twins
Building and modifying Digital Twins will accelerate
Construction sites
Digital Twins Advanced Platforms:
• Simulating complex scenarios
• Generating Synthetic Data
• Training Neural Models
• Software in the Loop (SIL): Testing & validating Models
• Hardware in the Loop (HIL)
• Monitoring & actuating Platform
16. TII – Technology Innovation Institute
Building Information Management (BIM)
17. 17
TII – Technology Innovation Institute
From 5G to 6G
From Connected Things to Connected Intelligence
eMBB: enhanced Mobile Broadband
mMTC: massive Machine Type Communication
uRLLC: ultra Reliable Low Latency communication
TSN: Time Sensitive Networks
6G to address UN’s SDG
➔ Contribute to the Quality & opportunities of human Life
From Connected Intelligence
To
Collective Intelligence
Source: huawei
18. 18
TII – Technology Innovation Institute
LLM Telecom: Foundation Model for Wireless Communications
Telecom Foundation Model
Data Telecom Languages Multi-Modal Wireless Sensors
Radio
Signals LiDAR Radar
Camer
a
Sound
Signals
Machine
Prompts
Human
Intents
Sensor
Percepti
on
SW/HW
Codes
Input
Output
Network
Protocols
Network
Configuration
Application Self-design Network Multiple Wireless Tasks
VLC
signals
Beam Power Position
Coverage
map
Waveform Modulation
Telecom
Brain
Motion
Control
Navigatio
n
Remote
Query
Telecom for LLM LLM for Telecom
Coding
Resource
LLM
Knowled
ge
19. 19
TII – Technology Innovation Institute
Understanding Telecom Language Through Large Language Models
Large Language Model
Radio access network
specifications
Architecture & protocols for
mobile communication systems
QoS requirements
Security & privacy
Network management &
operation
Testing & certification
....
....
....
• A stepping-stone towards realizing intent-driven and self-evolving
wireless networks from Telecom languages: using LLM to break
down natural language intents to tasks within specific network
functions.
• Adapting pretrained generative models, including BERT, DistilBERT,
RoBERTa, GPT-2 models to Telecom language.
• The framework demonstrates the applicability of adapting pretrained
generative models into the network devices, where the distilled fine-
tuned model showed accurate classification performance with
smaller model size.
Models DistilBERT BERT RoBerta GPT-2
Accuracy (%) 84 84.3 84.5 83.5
Parameters (M) 66 117 125 124
Classifying Working Groups of 3GPP Language
20. 20
TII – Technology Innovation Institute
LLM Telecom: Wireless Sensing and Communication
LLM for Wireless Imaging
• Conventional wireless sensing is performed through DL, which is
performed in a supervised fashion, maps received wireless signals’
characteristics into 2D images.
• Generative visual AI models, like DALL-E, CLIP and VQGAN, and
GPT Image, target to construct high-quality images from textual
descriptions.
• Adopting visual large models at the Telecom domain → create high-
resolution 3D visualization of the wireless environment using wireless
data.
• Objective: Develop foundation models that are capable of converting
wireless signals to images [for improved contextual knowledge and
enhanced communication schemes], and vice-versa.
LLM
Image
Signal
Position
(Environment)
(Channel frequency response)
(BS – UE link)
21. Generative AI will redefine roles across the organization
Carefully consider the professional identity of your employees when making changes to role definitions