The document discusses the environmental impact of deep learning and artificial intelligence. It notes that deep learning algorithms require massive parallel computations and large amounts of data, which consume significant amounts of energy. Deep learning training can emit between 0.09 and 284 tons of carbon dioxide depending on the model and size. The large energy and carbon footprint is concerning given how widely deep learning is now used. The document calls for researchers to better report the computational resources and time required to train models, to help assess sustainability. It also argues researchers need more equitable access to computation to continue advancing AI while addressing environmental impacts.
The presentation presents the competences and technologies provided by Technical computing department of Microsoft Innovation Center Rapperswil such as simulation of the electrical arc, wind turbines, thermal simulations in the building and cloud computing using Microsoft Azure.
Green Hydrogen Manufacturing A Review of Opportunities and Challenges for Dig...ijtsrd
The manufacturing of green hydrogen has emerged as a promising avenue for sustainable energy production, but it also presents significant challenges in terms of cost, efficiency, and scalability. Digital twin technology has the potential to address these challenges by providing real time monitoring and control, enabling predictive maintenance, and supporting simulation modeling. In this paper, we explore the opportunities and challenges associated with digital twin technology in the context of green hydrogen manufacturing. Manish Verma "Green Hydrogen Manufacturing: A Review of Opportunities and Challenges for Digital Twin Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-2 , April 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd55143.pdf Paper URL: https://www.ijtsrd.com.com/computer-science/cognitive-science/55143/green-hydrogen-manufacturing-a-review-of-opportunities-and-challenges-for-digital-twin-technology/manish-verma
The recent rapid progress in ICT technologies such as smart/intelligent sensor devices, broadband / ubiquitous networks, and Internet of everything (IoT) has advanced the penetration of sensor networks and their applications. The requirements of human daily life, security, energy efficiency, safety, comfort, and ecological, can be achieved with the help of these networks and applications. Traditionally, if we want some information on, for example, environment status, a variety of dedicated sensors is needed. This will increase the number of sensors installed and thus system cost, sensor data traffic loads, and installation difficulty. Therefore, we need to find redundancies in the captured information or interpret the semantics captured by non-dedicated sensors to reduce sensor network overheads. This paper clarifies the feasibility of recognizing human presence in a space by processing information captured by other than dedicated sensors. It proposes a method and implements it as a cost-effective prototype sensor network for a university library. This method processes CO2 concentration, originally designed to check environment status. In the experiment, training data is captured with none, one, or two subjects. The information gain (IG) method is applied to the resulting data, to set thresholds and thus judge the number of people. Human presence (none, one or two people) is accurately recognized from the CO2 concentration data. The experiments clarify that a CO2 sensor in set in a small room to check environment status can recognize the number of humans in the room with more than 70 % accuracy. This eliminates the need for an extra sensor, which reduces sensor network cost.
Machines learn better with Semantics!
See how taxonomy management and the maintenance of knowledge graphs benefit from machine learning and corpus analysis, and how, in return, machine learning gets improved when using semantic knowledge models for further enrichment.
wattUknow - Instant Quantitative Energy Awareness (IQEA)morosini1952
Summary
We propose both an E-week and some durable actions to raise the quantitative energy awareness of the ETH
students, future decision makers and leaders. The E-week is a one-week campaign where information on electricity
consumption is spread at ETH, mostly through hands-on “Erlebnisse” and real-time information. For this purpose we
use visual watt-metering displays as well as individual and group contests with non-material rewards, in order first to
assess quantitative energy awareness and second to stimulate people to think creatively about their electricity
consumption as well as suggest them ways to avoid wasting.
The presentation presents the competences and technologies provided by Technical computing department of Microsoft Innovation Center Rapperswil such as simulation of the electrical arc, wind turbines, thermal simulations in the building and cloud computing using Microsoft Azure.
Green Hydrogen Manufacturing A Review of Opportunities and Challenges for Dig...ijtsrd
The manufacturing of green hydrogen has emerged as a promising avenue for sustainable energy production, but it also presents significant challenges in terms of cost, efficiency, and scalability. Digital twin technology has the potential to address these challenges by providing real time monitoring and control, enabling predictive maintenance, and supporting simulation modeling. In this paper, we explore the opportunities and challenges associated with digital twin technology in the context of green hydrogen manufacturing. Manish Verma "Green Hydrogen Manufacturing: A Review of Opportunities and Challenges for Digital Twin Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-2 , April 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd55143.pdf Paper URL: https://www.ijtsrd.com.com/computer-science/cognitive-science/55143/green-hydrogen-manufacturing-a-review-of-opportunities-and-challenges-for-digital-twin-technology/manish-verma
The recent rapid progress in ICT technologies such as smart/intelligent sensor devices, broadband / ubiquitous networks, and Internet of everything (IoT) has advanced the penetration of sensor networks and their applications. The requirements of human daily life, security, energy efficiency, safety, comfort, and ecological, can be achieved with the help of these networks and applications. Traditionally, if we want some information on, for example, environment status, a variety of dedicated sensors is needed. This will increase the number of sensors installed and thus system cost, sensor data traffic loads, and installation difficulty. Therefore, we need to find redundancies in the captured information or interpret the semantics captured by non-dedicated sensors to reduce sensor network overheads. This paper clarifies the feasibility of recognizing human presence in a space by processing information captured by other than dedicated sensors. It proposes a method and implements it as a cost-effective prototype sensor network for a university library. This method processes CO2 concentration, originally designed to check environment status. In the experiment, training data is captured with none, one, or two subjects. The information gain (IG) method is applied to the resulting data, to set thresholds and thus judge the number of people. Human presence (none, one or two people) is accurately recognized from the CO2 concentration data. The experiments clarify that a CO2 sensor in set in a small room to check environment status can recognize the number of humans in the room with more than 70 % accuracy. This eliminates the need for an extra sensor, which reduces sensor network cost.
Machines learn better with Semantics!
See how taxonomy management and the maintenance of knowledge graphs benefit from machine learning and corpus analysis, and how, in return, machine learning gets improved when using semantic knowledge models for further enrichment.
wattUknow - Instant Quantitative Energy Awareness (IQEA)morosini1952
Summary
We propose both an E-week and some durable actions to raise the quantitative energy awareness of the ETH
students, future decision makers and leaders. The E-week is a one-week campaign where information on electricity
consumption is spread at ETH, mostly through hands-on “Erlebnisse” and real-time information. For this purpose we
use visual watt-metering displays as well as individual and group contests with non-material rewards, in order first to
assess quantitative energy awareness and second to stimulate people to think creatively about their electricity
consumption as well as suggest them ways to avoid wasting.
The value of cyber security is increasing every day and,
with the progressive role that information technologies
are playing in the global economy, its weight will increase
more and more in the following years. In the focus
of national cyber security strategies are the essential
services for the whole society and the need to implement
all the actions and measures for their secure operation,
including the capacity to be resilient to evolving cyber
threats and to respond to new attacks. A number of cyber
security standards and regulations have been recently
issued, that refer to the establishment of processes and
activities supporting the public and private cooperation
for the exchange of critical information and incident/
crisis management. An information security governance
that aims to meet compliance with those practices must
develop a combination of capabilities encompassing
organizational processes and technical cyber security
solutions. In line with the regulatory frameworks and
in continuation with previous similar initiatives of the
Cigré Study Committee D2, this paper is reporting on
the outcome of the information sharing that has occurred
between Cigré and IEC working groups addressing the
cyber security for the power industry.
Today is a good day for CIGRE Science &
Engineering, as with the February 2018 issue
you are about to start reading, our Journal
celebrates a mini-Jubilee: this is the 10th issue in
its still young but vibrant existence. To make the
numbers round, we should have 10 papers in this
issue, but at the last moment, a very interesting
paper on innovative research work came in from
my alma mater, ETH Zurich, which I could not
resist sharing with you.
But, in compliance with our strict review
procedure, all the other papers are also, of
excellent quality, and I am confident they will
spark your curiosity, as they cover a plethora of
important subjects.
Specifically, and true to our policy of making
this Journal a forum for the best papers from
the many CIGRE events around the globe, you
will find two papers form the 4th International
Colloquium “Transformer Research and Asset
Management” by SC A2 and two papers from the
2017 bi-annual Colloquium of SC D2, both very
successful and well-attended CIGRE meetings.
UK e-Infrastructure: Widening Access, Increasing ParticipationNeil Chue Hong
A talk given at the ICHEC Annual Seminar by Neil Chue Hong, reflecting on the rise of Grid and Web 2.0, and how this might enable increased participation and use of computing infrastructure for e-Science and research.
Practical Experiences with Smart-Homes Modeling and SimulationSimulationX
Within the next years, more homes will be equipped with smart metering devices, intelligent devices and home energy management systems (HEMS). The EMS are designed to adapt Demand Side Management (DSM) to households. The goals behind the DSM can vary within the household. It can target shaving the load peaks, minimize CO2 emissions, or minimize the overall energy bill via controlling the in-house energy supply resources and intelligent consuming devices. Thus, the EMS represents the dominant ‘smart home’.
Through this contribution, different practices of smart home modeling will be presented in which SimulationX has been integrated under different configurations, software and hardware integrations. The developed models represent the state-of-the art of the current, upcoming and futuristic smart homes. The incentives behind developing these models will be deliberated, along with the economic advantages in its applications within the smart grid. Moreover, the experience behind using SimulationX for evaluating such models will be presented.
(PDF) Essay on the understanding of computer & systems sciences.. Thesis topics for Computer Science (PhD Scholars Guidance). What is a computer? - A-Level Computer Science - Marked by Teachers.com. Computer Science Research Essay Ideas | Teaching Resources. English Essay Computer Science.
Deep neural networks have boosted the convergence of multimedia data analytics in a unified framework shared by practitioners in natural language, vision and speech. Image captioning, lip reading or video sonorization are some of the first applications of a new and exciting field of research exploiting the generalization properties of deep neural representation. This tutorial will firstly review the basic neural architectures to encode and decode vision, text and audio, to later review the those models that have successfully translated information across modalities. The contents of this tutorial are available at: https://telecombcn-dl.github.io/2019-mmm-tutorial/.
The marketization of energy commodities is conducive to the enviro.docxoreo10
The marketization of energy commodities is conducive to the environmental protection and the development of energy technology
I have better understanding on the energy and environment and also learn much about the e energy and environment after a semester’s study and research. The environment in which we are living is changing, and energy consumption and environmental pollution are happening at every moment, so we should be responsible for the environment and the people in the future. As the resources and environment of the earth are limited, we will not enjoy them without any harm on resources and environment. Therefore, we should protect the environment and develop much new energy, which is also the main objective of our subject.
As a student in economic major, what I'm considering about is whether
As a student in economic major, what I'm considering is whether I can combine my major with the environmental protection and energy management and present my understanding. Therefore, the subject of my study is that the marketization of energy commodities is conducive to environmental protection and the development of energy technology. As we all know, fossil fuel is a non-renewable energy resource and occupies the large market share before the development of renewable energy, while the solar energy occupies only 0.4% market share (JAMES, 2017). Firstly, people find that the combustion efficiency of fossil fuels is low, however, the cost of the machine is high. It is detrimental to the economic development. Secondly, a lot of harmful gas, which will pollute our environment, will be created when we burn fossil fuels. Therefore, fossil fuel energy has to gradually withdrew from the market, and increasing people understand the importance of renewable energy. Many countries even make a large investment to build plants, such as wind power plant, solar power plant and hydraulic power plant. Why do they have to make a large investment to build such equipment? Actually, they build such equipment for protecting the environment in which we live and developing more hi-tech energy conservation measures.
Firstly, the solar power is not favored by people in the energy market initially. People do not pay much attention to the solar energy until recent years. MIT is one of the best and famous universities in the world, and its scientists has established a research group which found a new method for extracting solar energy. They converted solar energy into thermal energy, and then they convert the thermal energy into solar energy again. Then, the efficiency of the extraction of solar energy is greatly improved (JAMES, 2017). If the method is practically applied, many companies, in the solar market, will adopt it for extracting solar energy. Furthermore, as the cost is low, its price will be cheaper and it will bring more profits to those companies. Secondly, the solar panel is also an important factor. It is widely used now, such as solar water heater and ...
National scale research computing and beyond pearc panel 2017Gregory Newby
Panel at the PEARC 2017 event in New Orleans, July 11-13. Panelists were: Gregory Newby, Chief Technology Officer, Compute Canada; Florian Berberich, Member of the Board of Directors PRACE aisbl; Gergely Sipos, Customer and Technical Outreach Manager, EGI Foundation; and John Towns, Director of Collaborative eScience Programs, National Center for Supercomputing Applications.
Panel abstract: How might the international community of research computing users and stakeholders benefit from knowledge sharing among national- or international-scale research computing organizations and providers? It is common for large-scale investments in research computing systems, services and support to be guided and funded with government oversight and centralized planning. There are many commonalities, including stakeholder relations, outcomes reporting, long-range strategic planning, and governance. What trends exist currently, and how might information sharing and collaboration among resource providers be beneficial? Is there desire to form a partnership, or to build upon existing relationships? Participants in this panel will include personnel involved in US, Canadian and European research computing jurisdictions.
Klaus Jäger_Development and future of (solar) energy technologiesUNICORNS IN TECH
This presentation covers some astonishing aspects about solar energy, comparing with other sources of energy. The talks was given at the UNICORNS IN TECH Get-Together hosted by hub:raum
The ever increasing demand of computing power has led to the development of extremely large systems that consist of millions of components. Sustainable large scale computing systems can extend themselves to extreme scales. Both extreme and exascale computing defy the common wisdom of HPC and are regarded as unorthodox, but they could turn out to be indispensable necessities in the near future 1 . This paper provides a primer on extreme computing. Matthew N. O. Sadiku | Adedamola A. Omotoso | Sarhan M. Musa ""Extreme Computing: A Primer"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21723.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/21723/extreme-computing-a-primer/matthew-n-o-sadiku
With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis. One of the most powerful tools in faults detection and diagnosis is artificial intelligence AI . Faults should be detected early so correct mitigation measures can be taken, whilst false alarms should be eschewed to avoid unnecessary interruption and downtime. For the last few decades there has been major interest towards intelligent condition monitoring system ICMS application in power plant especially with AI development particularly in artificial neural network ANN . ANN is based on quite simple principles, but takes advantage of their mathematical nature, non linear iteration to demonstrate powerful problem solving ability. With massive possibility and room for improvement in AI, the inspiration for researching them are apparent, and literally, hundreds of papers have been published, discussing the findings of hybrid AI for condition monitoring purposes. In this paper, the studies of ANN and fuzzy logic application will be presented. P. Naveen | S. Nikitha | P. Sudeesh | V. Vaishnavi "Artificial Intelligence in Power Station" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29784.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29784/artificial-intelligence-in-power-station/p-naveen
The value of cyber security is increasing every day and,
with the progressive role that information technologies
are playing in the global economy, its weight will increase
more and more in the following years. In the focus
of national cyber security strategies are the essential
services for the whole society and the need to implement
all the actions and measures for their secure operation,
including the capacity to be resilient to evolving cyber
threats and to respond to new attacks. A number of cyber
security standards and regulations have been recently
issued, that refer to the establishment of processes and
activities supporting the public and private cooperation
for the exchange of critical information and incident/
crisis management. An information security governance
that aims to meet compliance with those practices must
develop a combination of capabilities encompassing
organizational processes and technical cyber security
solutions. In line with the regulatory frameworks and
in continuation with previous similar initiatives of the
Cigré Study Committee D2, this paper is reporting on
the outcome of the information sharing that has occurred
between Cigré and IEC working groups addressing the
cyber security for the power industry.
Today is a good day for CIGRE Science &
Engineering, as with the February 2018 issue
you are about to start reading, our Journal
celebrates a mini-Jubilee: this is the 10th issue in
its still young but vibrant existence. To make the
numbers round, we should have 10 papers in this
issue, but at the last moment, a very interesting
paper on innovative research work came in from
my alma mater, ETH Zurich, which I could not
resist sharing with you.
But, in compliance with our strict review
procedure, all the other papers are also, of
excellent quality, and I am confident they will
spark your curiosity, as they cover a plethora of
important subjects.
Specifically, and true to our policy of making
this Journal a forum for the best papers from
the many CIGRE events around the globe, you
will find two papers form the 4th International
Colloquium “Transformer Research and Asset
Management” by SC A2 and two papers from the
2017 bi-annual Colloquium of SC D2, both very
successful and well-attended CIGRE meetings.
UK e-Infrastructure: Widening Access, Increasing ParticipationNeil Chue Hong
A talk given at the ICHEC Annual Seminar by Neil Chue Hong, reflecting on the rise of Grid and Web 2.0, and how this might enable increased participation and use of computing infrastructure for e-Science and research.
Practical Experiences with Smart-Homes Modeling and SimulationSimulationX
Within the next years, more homes will be equipped with smart metering devices, intelligent devices and home energy management systems (HEMS). The EMS are designed to adapt Demand Side Management (DSM) to households. The goals behind the DSM can vary within the household. It can target shaving the load peaks, minimize CO2 emissions, or minimize the overall energy bill via controlling the in-house energy supply resources and intelligent consuming devices. Thus, the EMS represents the dominant ‘smart home’.
Through this contribution, different practices of smart home modeling will be presented in which SimulationX has been integrated under different configurations, software and hardware integrations. The developed models represent the state-of-the art of the current, upcoming and futuristic smart homes. The incentives behind developing these models will be deliberated, along with the economic advantages in its applications within the smart grid. Moreover, the experience behind using SimulationX for evaluating such models will be presented.
(PDF) Essay on the understanding of computer & systems sciences.. Thesis topics for Computer Science (PhD Scholars Guidance). What is a computer? - A-Level Computer Science - Marked by Teachers.com. Computer Science Research Essay Ideas | Teaching Resources. English Essay Computer Science.
Deep neural networks have boosted the convergence of multimedia data analytics in a unified framework shared by practitioners in natural language, vision and speech. Image captioning, lip reading or video sonorization are some of the first applications of a new and exciting field of research exploiting the generalization properties of deep neural representation. This tutorial will firstly review the basic neural architectures to encode and decode vision, text and audio, to later review the those models that have successfully translated information across modalities. The contents of this tutorial are available at: https://telecombcn-dl.github.io/2019-mmm-tutorial/.
The marketization of energy commodities is conducive to the enviro.docxoreo10
The marketization of energy commodities is conducive to the environmental protection and the development of energy technology
I have better understanding on the energy and environment and also learn much about the e energy and environment after a semester’s study and research. The environment in which we are living is changing, and energy consumption and environmental pollution are happening at every moment, so we should be responsible for the environment and the people in the future. As the resources and environment of the earth are limited, we will not enjoy them without any harm on resources and environment. Therefore, we should protect the environment and develop much new energy, which is also the main objective of our subject.
As a student in economic major, what I'm considering about is whether
As a student in economic major, what I'm considering is whether I can combine my major with the environmental protection and energy management and present my understanding. Therefore, the subject of my study is that the marketization of energy commodities is conducive to environmental protection and the development of energy technology. As we all know, fossil fuel is a non-renewable energy resource and occupies the large market share before the development of renewable energy, while the solar energy occupies only 0.4% market share (JAMES, 2017). Firstly, people find that the combustion efficiency of fossil fuels is low, however, the cost of the machine is high. It is detrimental to the economic development. Secondly, a lot of harmful gas, which will pollute our environment, will be created when we burn fossil fuels. Therefore, fossil fuel energy has to gradually withdrew from the market, and increasing people understand the importance of renewable energy. Many countries even make a large investment to build plants, such as wind power plant, solar power plant and hydraulic power plant. Why do they have to make a large investment to build such equipment? Actually, they build such equipment for protecting the environment in which we live and developing more hi-tech energy conservation measures.
Firstly, the solar power is not favored by people in the energy market initially. People do not pay much attention to the solar energy until recent years. MIT is one of the best and famous universities in the world, and its scientists has established a research group which found a new method for extracting solar energy. They converted solar energy into thermal energy, and then they convert the thermal energy into solar energy again. Then, the efficiency of the extraction of solar energy is greatly improved (JAMES, 2017). If the method is practically applied, many companies, in the solar market, will adopt it for extracting solar energy. Furthermore, as the cost is low, its price will be cheaper and it will bring more profits to those companies. Secondly, the solar panel is also an important factor. It is widely used now, such as solar water heater and ...
National scale research computing and beyond pearc panel 2017Gregory Newby
Panel at the PEARC 2017 event in New Orleans, July 11-13. Panelists were: Gregory Newby, Chief Technology Officer, Compute Canada; Florian Berberich, Member of the Board of Directors PRACE aisbl; Gergely Sipos, Customer and Technical Outreach Manager, EGI Foundation; and John Towns, Director of Collaborative eScience Programs, National Center for Supercomputing Applications.
Panel abstract: How might the international community of research computing users and stakeholders benefit from knowledge sharing among national- or international-scale research computing organizations and providers? It is common for large-scale investments in research computing systems, services and support to be guided and funded with government oversight and centralized planning. There are many commonalities, including stakeholder relations, outcomes reporting, long-range strategic planning, and governance. What trends exist currently, and how might information sharing and collaboration among resource providers be beneficial? Is there desire to form a partnership, or to build upon existing relationships? Participants in this panel will include personnel involved in US, Canadian and European research computing jurisdictions.
Klaus Jäger_Development and future of (solar) energy technologiesUNICORNS IN TECH
This presentation covers some astonishing aspects about solar energy, comparing with other sources of energy. The talks was given at the UNICORNS IN TECH Get-Together hosted by hub:raum
The ever increasing demand of computing power has led to the development of extremely large systems that consist of millions of components. Sustainable large scale computing systems can extend themselves to extreme scales. Both extreme and exascale computing defy the common wisdom of HPC and are regarded as unorthodox, but they could turn out to be indispensable necessities in the near future 1 . This paper provides a primer on extreme computing. Matthew N. O. Sadiku | Adedamola A. Omotoso | Sarhan M. Musa ""Extreme Computing: A Primer"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21723.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/21723/extreme-computing-a-primer/matthew-n-o-sadiku
With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis. One of the most powerful tools in faults detection and diagnosis is artificial intelligence AI . Faults should be detected early so correct mitigation measures can be taken, whilst false alarms should be eschewed to avoid unnecessary interruption and downtime. For the last few decades there has been major interest towards intelligent condition monitoring system ICMS application in power plant especially with AI development particularly in artificial neural network ANN . ANN is based on quite simple principles, but takes advantage of their mathematical nature, non linear iteration to demonstrate powerful problem solving ability. With massive possibility and room for improvement in AI, the inspiration for researching them are apparent, and literally, hundreds of papers have been published, discussing the findings of hybrid AI for condition monitoring purposes. In this paper, the studies of ANN and fuzzy logic application will be presented. P. Naveen | S. Nikitha | P. Sudeesh | V. Vaishnavi "Artificial Intelligence in Power Station" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29784.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29784/artificial-intelligence-in-power-station/p-naveen
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Presentato al sesto WebMeetup del Machine Learning / Data Science Meetup Roma: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/273089965/
Presentazione per il sesto WebMeetup del Machine Learning / Data Science Meetup Roma: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/273089965/
Paolo Galeone - Dissecting tf.function to discover auto graph strengths and s...MeetupDataScienceRoma
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Meetup: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/264338606/
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https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/262120815/
Presentazione dal Meetup del Machine Learning / Data Science Meetup di Roma - Giugno 2019:
https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/262120815/
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Talk dal Meetup del Machine Learning / Data Science Meetup di Roma - Giugno 2019:
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Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
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We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
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The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
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Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
2. About the speaker: a life pie…
Study & Leisure; 48,00%
Math Research; 20,00%
IT Consultant; 3,00%
Quant; 8,00%
IT PM & PgM; 21,00%
3. What is energy?
Energy is force (=ma) times a displacement, or
Energy is mass times the square of velocity
Example: Kinetic Energy = ½ mass × velocity2
Source: Wikipedia. Di Ferdinand Schmutzer
(1870-1928) - Edited version of
Image:Einstein1921 by F Schmutzer 2.jpg.,
Pubblico dominio,
https://commons.wikimedia.org/w/index.php?
curid=5216482
Source: https://giphy.com/gifs/looneytunes-
angry-mad-1wPC7WSiRq6pEpcBOo
Also Einstein’s famous
E = mc2
confirms it…
4. Power is energy per unit time
We use energy during a certain time interval, mainly to move around:
power is the amount of energy transferred in a unit of time, aka power =
force times velocity
For example to climb a 700 mt high mountain
in a hour, a man weighing 80kg (≈800 N)
needs a power of
P = F × v = (m × a) × v
= 800 N × 700 mt/1 h
= 800 N × 700 mt / 3600 s
= 155 W Source: https://giphy.com/explore/mountain-
climbing
5. Why do we get tired?
However no one could keep walking or
climbing forever: indeed we say that we
consume energy, which is not correct since,
as Antoine de Lavoisier (1743-1794) put it:
Energy is neither created nor destroyed but
just transformed.
Rather...
Source: Wikipedia. By Louis Jean Desire Delaistre, after Boilly - Rev.
Superinteressante, n. 23, Pubblico dominio,
https://commons.wikimedia.org/w/index.php?curid=5507967
7. Human industry exploits
dissipation!!!
Source: Wikipedia. By Nijs, Jac de / Anefo - [1] Dutch National
Archives, The Hague, Fotocollectie Algemeen Nederlands
Persbureau (ANeFo), 1945-1989, Nummer toegang 2.24.01.03
Bestanddeelnummer 913-7320, CC BY-SA 3.0 nl,
https://commons.wikimedia.org/w/index.php?curid=31527984
Source: Wikipedia. Di KMJ - de.wikipedia,
original upload 26 Jun 2004 by
de:Benutzer:KMJ, CC BY-SA 3.0,
https://commons.wikimedia.org/w/index.php?
curid=242907
Source: Wikipedia. By Nijs, Jac de / Anefo - [1] Dutch National
Archives, The Hague, Fotocollectie Algemeen Nederlands
Persbureau (ANeFo), 1945-1989, Nummer toegang 2.24.01.03
Bestanddeelnummer 913-7320, CC BY-SA 3.0 nl,
https://commons.wikimedia.org/w/index.php?curid=31527984
8. The dark side of dissipation…
The problem with dissipation is not just wasting resources…
Rather dissipative effects and energy transformations produce
wastes which may have a negative impact on the environment.
For instance the infamous CO2
Carbon dioxide!!!
Source: Wikipedia. By Nijs, Jac de / Anefo - [1] Dutch National Archives, The Hague,
Fotocollectie Algemeen Nederlands Persbureau (ANeFo), 1945-1989, Nummer toegang
2.24.01.03 Bestanddeelnummer 913-7320, CC BY-SA 3.0 nl,
https://commons.wikimedia.org/w/index.php?curid=31527984
9. No renewable sources
Following Lavoisier, energy sources are «stores» whom energy is
transformed: each time we «take» energy from such a source,
the source depletes, until it get exhausted. If not, we say that the
source is renewable.
thermodynamic principles imply that renewable sources do
not exist…
but some sources, at human timescale, may be approximated
as renewable (sun, wind, tides, geothermal, …)
https://ips-dc.org/crony-capitalism-cant-save-coal-country/
10. The moral is
We should avoid energy transformations implying bad
byproducts (as CO2).
We should avoid relying on non renewable resources
We should avoid wasting energy in general: it is a limited
resorce…
Of course… we don’t!
11. We produce emissions
Source: IEA, "CO2 emissions by energy source, World 1990-2017", IEA, Paris https://www.iea.org/data-and-statistics?country=WORLD&fuel=CO2%20emissions&indicator=CO2%20emissions%20by%20energy%20source
12. We do not pursue sustainabilty
Source: IEA, "Electricity generation by fuel and scenario, 2018-2040", IEA, Paris https://www.iea.org/data-and-statistics/charts/electricity-generation-by-fuel-and-scenario-2018-2040
13. We keep on consuming
Source: IEA, "Total final consumption (TFC) by sector, World 1990-2017 ", IEA, Paris https://www.iea.org/data-and-statistics?country=WORLD&fuel=Energy%20consumption&indicator=Total%20final%20consumption%20(TFC)%20by%20sector
14. Carbon footprint
“The carbon footprint is a measure of the exclusive total amount
of carbon dioxide emissions that is directly and indirectly caused
by an activity or is accumulated over the lifestages of a product”
So IT activities and products do have a carbon footprint, too.
Source: Wiedmann, T. and Minx, J. (2008). A Definition of 'Carbon Footprint'. In: C. C. Pertsova, EcologicalEconomics Research
Trends: Chapter 1, pp. 1-11, Nova Science Publishers, Hauppauge NY,
USA.https://www.novapublishers.com/catalog/product_info.php?products_id=5999.
15. IT activities dissipate and emit
waste
Computers (and all that: servers, tablets, mobile phones, etc.) do
consume energy and do dissipate it. This consumption usually
stems from CO2 (and other) emissions, while dissipation is mainly
due to Joule law
For example, electricity, which is needed to run electronic devices,
is transformed from other kind of energies, which may be non
renewable ones, such as fossil fuels...
Moreover, fans attached to motherboards, to cool down them,
which in turn consume and dissipate electric energy…Source: New York Times. https://www.nytimes.com/2012/09/23/technology/data-centers-waste-vast-amounts-of-energy-belying-industry-image.html
16.
17. IT accounts for 10% electric
consumption
Source: Guillame Jacquart, “Digital Carbon Footprint — What can we do ?”. https://medium.com/@guillaumejacquart/digital-carbon-footprint-what-can-we-do-d676480a556d
18. Estimates on renewables %
Graph based on data found in Strubell, Ganesh, McCallum, Energy and Policy Considerations for Deep Learning in NLP, https://arxiv.org/abs/1906.02243
China Germany United States Amazon AWS Google Microsoft
0
10
20
30
40
50
60
70
80
90
100
Other
Nuclear
Coal
Gas
Renewables
19. Deep Learning everywhere
Artificial Intelligence is as old as computer science is: for
example Alan Turing (1912-1954) contributed to found both!
In the 80s one could program expert systems on 8-bit CPUs
with a storage of 64K or so: I can confirm it!
Today, the state-of-the-art AI paradigm, deep learning, which is
widespread and universally adopted, requires massive parallel
computations and aimed at processing Tbytes of data.
Source: https://www.ibm.com/blogs/watson/2018/03/deep-learning-service-ibm-makes-advanced-ai-accessible-users-everywhere/
20. Some features of DL algorithm
Deep Learning algorithms are “just” neural networks
They display many layers connected via non linear
transformations, for a total of even millions and billions of
neurons
They works exceedingly fine but why their performances are so
astonishing is still poorly understood, at least from the
theoretical point of view.
21. More features of DL algorithm
Deep learning algorithms use different layers of the neural
networks to perform different tasks and to concentrate on
different “concepts”: e.g. the form of an object in an image, etc.
To work properly, deep learning algorithms need to be trained:
they have to be fed with huge amount of data in an orgy of
iterated parallel computations
Deep learning algorithms depend on “hyper-parameters” which
have to be empirically fine tuned by trial and errors
22. Carbon footprint of DL Training
Recently the carbon footprint of some NLP models (DL
algorithms aimed at text classification and translation) training
have been estimated, and compared to other consumptions:
Activity CO2 emission (Tons)
Air travel, 1 passenger, NY->SF 0,9
Human life (average), 1 year 5
American life (average), 1 year 16.4
Car (average) included fuel, 1 lifetime 57.15
NLP Transformer training 0.09
NLP BERT training 0.65
NLP Neural Architecture Search training 284.02
Source: Strubell, Ganesh, McCallum, Energy and Policy Considerations for Deep Learning in NLP, https://arxiv.org/abs/1906.02243
23. Don’t panic
The analysis of Strubell, Ganesh, McCallum stresses that training
deep learning models is expensive in energetic terms (and therefore
also in dissipative and wasting terms).
On the other hand, inference is also very expensive, and it is
estimated to be the 80%-90% of total computational cost (e.g.
https://www.forbes.com/sites/moorinsights/2019/05/09/google-cloud-doubles-down-on-nvidia-
gpus-for-inference/#2cc458267926)
However, the most consuming model (transformer with neural
architecture, whatever it is) is an outlier in terms of computations
needed: the average is an order of magnitude less
24. Be aware, don’t beware!
The importance of measuring and being aware of energy
impact of deep learning is that we can address our use of it
toward a sustainable path
In the same paper by Strubell, Ganesh, McCallum, some policy
suggestions are provided: I barely quote them in the following
slides
25. Authors should report training time
and sensitivity to hyper-parameters
This will enable direct comparison across models, allowing
subsequent consumers of these models to accurately assess
whether the required computational resources are compatible
with their setting. Realizing this will require:
• a standard, hardware-independent measurement of training
time, such as gigaflops required to convergence
• a standard measurement of model sensitivity to data and
hyper-parameters, such as variance with respect to hyper-
parameters searched
26. Academic researchers need equitable
access to computation resources
Most of the recent DL advances were developed outside
academia, since industry can access to large-scale compute
To make such an access possible even to Academia, it would be
more cost-effective to pool resources to build shared compute
centers at the level of funding agencies, such as the U.S.
National Sci-ence Foundation, instead of using cloud services
such as AWS
27. Researchers should prioritize
computationally efficient
hardware and algorithms
It is desirable a concerted effort by industry and academia to
promote research of more computationally efficient algorithms,
as well as hardware that requires less energy
Also, it is desirable to provide easy-to-use APIs implementing
more efficient alternatives to brute-force grid search for hyper-
parameter tuning, e.g. random or Bayesian hyper-parameter
search techniques
28. A new hope
The debate on energy consumption of DL is hot and interesting:
however, it should be stressed that those same computational
consuming models may be used to help in fighting against climatic
and environmental issues.
For example a collective effort (which include Yoshua Bengio) aims
at proving that machine learning can be a powerful tool in
reducing greenhouse gas emissions and helping society adapt to a
changing climate https://arxiv.org/abs/1906.05433
Stay tuned for more information on the next IAML MeetUp!!!Source: http://theconversation.com/star-wars-planet-with-two-suns-a-step-towards-luke-skywalkers-tatooine-3379
29. Thanks for your attention!!!
Q&A
Paolo Caressa
https://www.linkedin.com/in/paolocaressa/
https://twitter.com/www_caressa_it
http://www.caressa.it