CIB W78 2005 - Development of computer assisted learning tool for earthquake ...Robert Klinc
Today, we live in the world(,) where the information and communication technologies are developing faster than ever before. We receive information and learn from a variety of sources. However, such learning is rarely related to the official programmes of higher education. Lecturers must compete with, for example, Discovery channel, games and/or other audio/video/internet media. That is why many students today have great expectations(,) which even the well prepared and quality books cannot satisfy. Besides, it is difficult to attract their attention when the lessons are not dynamic and the lectured subject is not illustrated as it could be, considering all the technologies available.
Towards Universitas Indonesia Next Generation Firewall Service - Tonny | GNOM...Estu Fardani
University of Indonesia is one of the largest state owned University in Indonesia with more than 40.000 students. As one of the university which support Free/Open Source movements (especially providing F/OSS content mirror), we also adopt F/OSS in our infrastructure development. Most of our own information systems are build using F/OSS stack by our in house developer team. In 2012, we were starting to experiment with next generation firewall to support our staff and students internet access. Current firewall cannot longer support dynamic nature of nowadays internet apps because its only filter based on port, ip addresses and communication protocol state. Meanwhile on today internet apps, we can access variety of apps using just only HTTP protocol for example. A next generation firewall is able to detect and filter by using L7 protocol pattern, means its done on application layer.During the presentation, I will share our experience on developing and integrating Next Generation Firewall using F/OSS stack. I will also share about open opportunities on further research and development in this topics.
Experimenting multiple approaches for teaching meta-modelingSaïd Assar
Experimenting multiple approaches for teaching meta-modeling
>>Teaching with software tools <<
Presented at https://www.jamk.fi/en/Event-Calendar/the-global-faculty-colloquium/global-faculty-research-colloquium/
Scalable Model Views over Heterogeneous Modeling Technologies and Resources -...Hugo Bruneliere
Full paper is available from https://hal.archives-ouvertes.fr/hal-02515776
Recorded presentation is available from https://www.youtube.com/watch?v=zMDUFh-mYqk
Sermon transcript of Rev. Sam P. Chelladurai's Sermon titled The Law of Faith spoken in Sunday Church Service in AFT Church, Chennai on 20th July 2014.
CIB W78 2005 - Development of computer assisted learning tool for earthquake ...Robert Klinc
Today, we live in the world(,) where the information and communication technologies are developing faster than ever before. We receive information and learn from a variety of sources. However, such learning is rarely related to the official programmes of higher education. Lecturers must compete with, for example, Discovery channel, games and/or other audio/video/internet media. That is why many students today have great expectations(,) which even the well prepared and quality books cannot satisfy. Besides, it is difficult to attract their attention when the lessons are not dynamic and the lectured subject is not illustrated as it could be, considering all the technologies available.
Towards Universitas Indonesia Next Generation Firewall Service - Tonny | GNOM...Estu Fardani
University of Indonesia is one of the largest state owned University in Indonesia with more than 40.000 students. As one of the university which support Free/Open Source movements (especially providing F/OSS content mirror), we also adopt F/OSS in our infrastructure development. Most of our own information systems are build using F/OSS stack by our in house developer team. In 2012, we were starting to experiment with next generation firewall to support our staff and students internet access. Current firewall cannot longer support dynamic nature of nowadays internet apps because its only filter based on port, ip addresses and communication protocol state. Meanwhile on today internet apps, we can access variety of apps using just only HTTP protocol for example. A next generation firewall is able to detect and filter by using L7 protocol pattern, means its done on application layer.During the presentation, I will share our experience on developing and integrating Next Generation Firewall using F/OSS stack. I will also share about open opportunities on further research and development in this topics.
Experimenting multiple approaches for teaching meta-modelingSaïd Assar
Experimenting multiple approaches for teaching meta-modeling
>>Teaching with software tools <<
Presented at https://www.jamk.fi/en/Event-Calendar/the-global-faculty-colloquium/global-faculty-research-colloquium/
Scalable Model Views over Heterogeneous Modeling Technologies and Resources -...Hugo Bruneliere
Full paper is available from https://hal.archives-ouvertes.fr/hal-02515776
Recorded presentation is available from https://www.youtube.com/watch?v=zMDUFh-mYqk
Sermon transcript of Rev. Sam P. Chelladurai's Sermon titled The Law of Faith spoken in Sunday Church Service in AFT Church, Chennai on 20th July 2014.
Young Social Innovators: Unleashing PotentialBronagh Ohagan
Through Young Social Innovators' programmes, workshops and events, young people are helped to discover the social innovator within and unleash their potential as powerful catalysts for social change.
Google Chromebook for the Enterprise: Yeah or Meh?Ericom Software
While Google Chromebooks were originally designed primarily for consumers, their rising popularity, and low cost are attracting enterprises. Google and its partners are aware of this, and are starting to focus on this market segment as well. That being said, Google Chromebooks still have many limitations that can impede their usefulness as an enterprise platform.
In this presentation, originally presented at BriForum US 2014, Ericom CTO Dan Shappir provides concrete guidelines that will enable you to determine if Google Chromebooks are a viable option for your organization and users. He also highlights tools and applications that can increase the usefulness of this platform for enterprises.
To learn how Ericom can help your organization make the transition to Chromebooks, visit the following URL: http://j.mp/1nefYTS
Artificial Intelligence Workshop, Collegio universitario Bertoni, Milano, 20 May 2017.
Audience of the workshop: undergraduate students without neural networks background.
Summary:
- Deep Learning Showcase
- What is deep learning and how it works
- How to start with deep learning
- Live demo: image recognition with Nvidia DIGITS
- Playground
Duration: 2 hours.
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...Provectus
In this presentation, the speaker will share his experiences from building successful IoT systems. He will also explain why many IoT systems fail to get traction and how Machine Learning can help in that. Finally, he will talk about the right system architecture and touch upon some of the ML algorithms for IoT systems.
Young Social Innovators: Unleashing PotentialBronagh Ohagan
Through Young Social Innovators' programmes, workshops and events, young people are helped to discover the social innovator within and unleash their potential as powerful catalysts for social change.
Google Chromebook for the Enterprise: Yeah or Meh?Ericom Software
While Google Chromebooks were originally designed primarily for consumers, their rising popularity, and low cost are attracting enterprises. Google and its partners are aware of this, and are starting to focus on this market segment as well. That being said, Google Chromebooks still have many limitations that can impede their usefulness as an enterprise platform.
In this presentation, originally presented at BriForum US 2014, Ericom CTO Dan Shappir provides concrete guidelines that will enable you to determine if Google Chromebooks are a viable option for your organization and users. He also highlights tools and applications that can increase the usefulness of this platform for enterprises.
To learn how Ericom can help your organization make the transition to Chromebooks, visit the following URL: http://j.mp/1nefYTS
Artificial Intelligence Workshop, Collegio universitario Bertoni, Milano, 20 May 2017.
Audience of the workshop: undergraduate students without neural networks background.
Summary:
- Deep Learning Showcase
- What is deep learning and how it works
- How to start with deep learning
- Live demo: image recognition with Nvidia DIGITS
- Playground
Duration: 2 hours.
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...Provectus
In this presentation, the speaker will share his experiences from building successful IoT systems. He will also explain why many IoT systems fail to get traction and how Machine Learning can help in that. Finally, he will talk about the right system architecture and touch upon some of the ML algorithms for IoT systems.
Introduction to Artificial Intelligence - Pengenalan Kecerdasan BuatanSunu Wibirama
Kuliah Pengantar Kecerdasan Buatan oleh Dr. Sunu Wibirama. Kuliah ini dibagi menjadi empat bagian, yakni:
Part 1: Revolusi Industri 4.0 dan Kecerdasan Buatan
Part 2: Sejarah Turing Machine dan Teknologi Kecerdasan Buatan
Part 3: Pengantar Machine Learning
Part 4: Pengantar Deep Neural Network
Instruktur:
Dr. Sunu Wibirama (UGM, Indonesia)
http://sunu.staff.ugm.ac.id
Testing with Fewer Resources: Toward Adaptive Approaches for Cost-effective ...Sebastiano Panichella
Lecture entitled "Testing with Fewer Resources: Toward Adaptive Approaches for Cost-effective Test Generation and Selection" at the International Summer School
on Search- and Machine Learning-based Software Engineering
June 22-24, 2022 - Córdoba, Spain
Sebastiano Panichella and Christian Birchler
Testing with Fewer Resources: Toward Adaptive Approaches for Cost-effective ...Sebastiano Panichella
Lecture entitled "Testing with Fewer Resources: Toward Adaptive Approaches for Cost-effective Test Generation and Selection" at the International Summer School
on Search- and Machine Learning-based Software Engineering
June 22-24, 2022 - Córdoba, Spain
Sebastiano Panichella and Christian Birchler
https://telecombcn-dl.github.io/2017-dlcv/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or image captioning.
Certified Deep Learning Specialist (CDLS)GICTTraining
GICT Certified Deep Learning Specialist (CDLS) course will focus on the implementation of the newest libraries for implementing Deep Learning
Find Out More : https://globalicttraining.com
Similar to Video Analysis in Autonomous Systems: Data Analytics Challenges (20)
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Video Analysis in Autonomous Systems: Data Analytics Challenges
1. School of something
FACULTY OF OTHER
Computing
ENGINEERING
Video Analysis in Autonomous Systems:
Data Analytics Challenges
Krishna Dubba
Institute for Artificial Intelligence and
Biological Systems
2. School of Computing
FACULTY OF ENGINEERING
Leeds Activity Analysis Group
Computer Vision (Prof. David Hogg)
Knowledge Representation and Reasoning (Prof. Tony Cohn)
3. School of Computing
FACULTY OF ENGINEERING
Motivation:
“We are drowning in data yet starving for knowledge”
~ John Naisbitt
4. School of Computing
FACULTY OF ENGINEERING
Motivation:
● Are computers drowning in (video) data?
○ CCTV cameras
○ Personal digital video cameras
○ Video content on TV and Internet
○ In future: Google glass, autonomous cars, personal
robots
5. School of Computing
FACULTY OF ENGINEERING
Trixi
University of Hamburg
LUCIE
Leeds University Cognitive Intelligent Entity
6. School of Computing
FACULTY OF ENGINEERING
Motivation:
● Are computers starving for knowledge?
7. School of Computing
FACULTY OF ENGINEERING
Motivation:
● Applications:
○ Security and Surveillance
○ Intelligent autonomous systems (robots, cars etc.)
○ Content based video retrieval (instead of text tags)
○ Automatic script and commentary generation for videos
8. School of Computing
FACULTY OF ENGINEERING
Nature of Data:
● Images
● Each pixel in image is a tuple (R,G,B)
9. School of Computing
FACULTY OF ENGINEERING
Nature of Data:
● Videos (series of images)
10. School of Computing
FACULTY OF ENGINEERING
Nature of Data:
● Videos (series of images)
Third Person View
11. School of Computing
FACULTY OF ENGINEERING
Nature of Data:
● Videos (series of images)
Third Person View Ego-Centric View
12. School of Computing
FACULTY OF ENGINEERING
Nature of Data
● Sensor data such as laser, depth data etc (Kinect).
13. School of Computing
FACULTY OF ENGINEERING
Nature of Data
● Sensor data such as laser, depth data etc (Kinect).
14. School of Computing
FACULTY OF ENGINEERING
Nature of Data:
● Text (annotations, additional information from web)
● Verbal instructions
15. School of Computing
FACULTY OF ENGINEERING
Challenges:
● Supervised, unsupervised and semi-supervised learning
16. School of Computing
FACULTY OF ENGINEERING
Challenges:
● Supervised, unsupervised and semi-supervised learning
● Data comes from multiple sources and mainly aimed at
humans - Multidisciplinary approach
17. School of Computing
FACULTY OF ENGINEERING
Challenges:
● Supervised, unsupervised and semi-supervised learning
● Data comes from multiple sources and mainly aimed at
humans - Multidisciplinary approach
● Real time analysis: GPU processing
○ LUCIE has three kinects attached and needs a
separate computer for each kinect.
18. School of Computing
FACULTY OF ENGINEERING
Challenges:
● Supervised, unsupervised and semi-supervised learning
● Data comes from multiple sources and mainly aimed at
humans - Multidisciplinary approach
● Real time analysis: GPU processing
○ LUCIE has three kinects attached and needs a
separate computer for each kinect.
● Integrating low-level representation and high level
reasoning: Statistical Relational Models like Markov Logic
Networks
19. School of Computing
FACULTY OF ENGINEERING
Challenges:
● Supervised, unsupervised and semi-supervised learning
● Data comes from multiple sources and mainly aimed at
humans - Multidisciplinary approach
● Real time analysis: GPU processing
○ LUCIE has three kinects attached and needs a
separate computer for each kinect.
● Integrating low-level representation and high level
reasoning: Statistical Relational Models like Markov Logic
Networks
● Online learning and how learning affects the state of the
system.
