The UK government is developing an industrial strategy to build on the country's strengths and enable more widespread opportunities and growth across all regions. They are seeking public input on their 10 strategic pillars which aim to develop skills, upgrade infrastructure, cultivate world-leading sectors, support business growth, improve procurement, encourage trade and investment, deliver affordable energy and clean growth, create local institutions, and drive growth nationwide. The government welcomes comments to help shape an economy that works for everyone.
Eastern Ontario Accelerates Innovation and Receives Eastern Ontario Developme...John Hayden
Six Eastern Ontario-based manufacturers will benefit from an investment from Northumberland Community Futures Development Corporation (CFDC) through the Federal Economic Development Agency for Southern Ontario (FedDev Ontario).
Baltic PR Awards 2011: The Economy Boosting Plan Communication CampaignBaltic PR Awards
The Economy Boosting Plan Communication Campaign: new ways to speak to business and change the economy for the better
VRP | Hill & Knowlton, LT
PUBLIC AFFAIRS
A study from IBM SWG developerWorks and IBM Center for Applied Insights. To gain a current global snapshot of how organizations are using big data and analytics, cloud, mobile, and social technologies, the IBM Center for Applied Insights conducted a survey of over 1200 IT and business decision makers. The study presents adoption and investment data for these emerging areas and also highlights skills and security challenges. Find out how a Pacesetter group exhibits market-driven, analytical, and experimental traits that allow them to capitalize on these emerging tech areas.
The State of Cybersecurity and Digital Trust 2016HfS Research
Cyber threats today take many forms, from “lone wolves” to highly organized teams-for-hire capable of breaching the most sophisticated defense systems to target personal, corporate or state secrets. To keep pace, organizations must re-think the very nature of cybersecurity, embracing a holistic approach where security is an integral part of a business model that includes risk management and the development of digital trust on an ongoing basis.
Experts from HfS Research, Accenture and client organizations will discuss findings from the recent State of Cybersecurity and Digital Trust 2016 research, explore how cybersecurity threats are perceived and managed, and what needs improvement.
Participants will learn about:
• Digital trust, why it is important and how enterprises can establish and maintain it
• Five gaps in cybersecurity that impact digital trust, and some ideas for addressing them
• The need for creating a culture of cybersecurity awareness throughout the organization
The business models across industries around the world are becoming Customer Centric. Recent studies show that “knowing” customers based on internal as well as external data is one of the top priorities of business leaders. On the other hand various surveys also reveal that customers do not mind to share their semi-personal data for the benefit of differentiated service. In that context, the 360 degree view of customer – which was once thought to be a business process, master data management, data integration and data warehouse / business intelligence related problem has now entered into the whole new big world of BIG data including integration with unstructured data sources. Impact of big data on Customer Master Data Management is spread across - from Integration and linkage of unstructured or semi-structured data with structured master data that is maintained within enterprise; to analyze and visualization of the same to generate useful insight about the customers. There are various patterns to handle the challenges across the steps i.e. acquire, link, manage, analyze and distribute the enhanced customer data for differentiated product or services.
Eastern Ontario Accelerates Innovation and Receives Eastern Ontario Developme...John Hayden
Six Eastern Ontario-based manufacturers will benefit from an investment from Northumberland Community Futures Development Corporation (CFDC) through the Federal Economic Development Agency for Southern Ontario (FedDev Ontario).
Baltic PR Awards 2011: The Economy Boosting Plan Communication CampaignBaltic PR Awards
The Economy Boosting Plan Communication Campaign: new ways to speak to business and change the economy for the better
VRP | Hill & Knowlton, LT
PUBLIC AFFAIRS
A study from IBM SWG developerWorks and IBM Center for Applied Insights. To gain a current global snapshot of how organizations are using big data and analytics, cloud, mobile, and social technologies, the IBM Center for Applied Insights conducted a survey of over 1200 IT and business decision makers. The study presents adoption and investment data for these emerging areas and also highlights skills and security challenges. Find out how a Pacesetter group exhibits market-driven, analytical, and experimental traits that allow them to capitalize on these emerging tech areas.
The State of Cybersecurity and Digital Trust 2016HfS Research
Cyber threats today take many forms, from “lone wolves” to highly organized teams-for-hire capable of breaching the most sophisticated defense systems to target personal, corporate or state secrets. To keep pace, organizations must re-think the very nature of cybersecurity, embracing a holistic approach where security is an integral part of a business model that includes risk management and the development of digital trust on an ongoing basis.
Experts from HfS Research, Accenture and client organizations will discuss findings from the recent State of Cybersecurity and Digital Trust 2016 research, explore how cybersecurity threats are perceived and managed, and what needs improvement.
Participants will learn about:
• Digital trust, why it is important and how enterprises can establish and maintain it
• Five gaps in cybersecurity that impact digital trust, and some ideas for addressing them
• The need for creating a culture of cybersecurity awareness throughout the organization
The business models across industries around the world are becoming Customer Centric. Recent studies show that “knowing” customers based on internal as well as external data is one of the top priorities of business leaders. On the other hand various surveys also reveal that customers do not mind to share their semi-personal data for the benefit of differentiated service. In that context, the 360 degree view of customer – which was once thought to be a business process, master data management, data integration and data warehouse / business intelligence related problem has now entered into the whole new big world of BIG data including integration with unstructured data sources. Impact of big data on Customer Master Data Management is spread across - from Integration and linkage of unstructured or semi-structured data with structured master data that is maintained within enterprise; to analyze and visualization of the same to generate useful insight about the customers. There are various patterns to handle the challenges across the steps i.e. acquire, link, manage, analyze and distribute the enhanced customer data for differentiated product or services.
IBM Center for Applied Insights Study.
Hybrid cloud is the de facto state of IT. Leading organizations are blending traditional and cloud infrastructures to achieve better business outcomes—from reduced costs and improved productivity to business growth and digital transformation. What’s more, they’re using hybrid cloud to springboard to next generation activities that allow them to disrupt and capture new markets.
IBM Fellow Dr. Evangelos Eleftheriou presented the following slides at CeBIT 2014 to discuss the impact of Big Data on future storage technologies spanning from tape to phase change memory.
The cognitive advantage: Insights from early adopters on driving business valueSusanne Hupfer, Ph.D.
Wondering how and why forward-thinking businesses are already adopting cognitive computing and artificial intelligence technologies? Curious about the top business challenges organizations are tackling with cognitive computing? The "IBM Cognitive Study," which surveyed 600 leaders and decision-makers from around the world, provides answers to these questions and more. About 70% of decision-makers say that cognitive computing is extremely important to their business strategy and success. Learn how smart companies are becoming cognitive businesses, and how they're already driving tangible results and ROI.
The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...Susanne Hupfer, Ph.D.
Presented by Susanne Hupfer and Nancy Pearson at IBM World of Watson Conference, Oct. 2016.
Wondering how and why forward-thinking businesses are already adopting cognitive computing and artificial intelligence technologies? Curious about the top business challenges organizations are tackling with cognitive computing? The "IBM Cognitive Study," which surveyed 600 leaders and decision-makers from around the world, provides answers to these questions and more. About 70% of decision-makers say that cognitive computing is extremely important to their business strategy and success. Learn how smart companies are becoming cognitive businesses, and how they're already driving tangible results and ROI.
Yuri is a Member of Technical Staff / Data Scientist at eBay in New York City. He is currently focused on developing scalable machine learning algorithms to produce high quality item recommendations. Yuri holds a Ph.D. degree from the Applied Physics and Applied Mathematics department from Columbia University and an undergraduate degree in Physics from UC Berkeley.
Abstract Summary:
Innovations in Recommender Systems for a Semi-structured Marketplace:
eBay has over 1 billion live items on the site at any given time. The lack of structured information about listings as well as variable inventory makes traditional collaborative filtering algorithms difficult to use in eBay’s large semi-structured marketplace. We will discuss approaches to overcome these challenges using machine learning and deep learning (both text and image based models). The details of the sampling strategy, feature engineering, and machine learned ranking model are all important for delivering improved operational metrics in A/B tests. We will cover both system architecture engineering as well as data science and machine learning methods that were developed to generate high quality recommendations.
HfS Webinar Slides: Digital Reinvention For the Cognitive EraHfS Research
Design Thinking and Intelligent Automation are critical building blocks of any organization's journey toward the As-a-Service Economy. Yet, only by changing the mindset and by understanding as well as articulating the goal of this journey, will organizations be able to reap the benefits.
Experts from HfS Research, Applied Materials, and IBM share their experiences and lessons they have learned.
Participants will hear about:
- How IBM has embedded design thinking into our client interactions, enabling both parties to better build out solutions to business problems
- How companies need to build a foundation that allows them to embrace a move to 'digital'
- How building this foundation set them on a 'path to cognitive.'
- How the intelligent automation continuum allows companies to chart a path from 'desktop macros' through to RPA, Automation and Cognitive
- How each company's data maturity will dictate where it steps onto the path and how their journey then progresses
View the webinar replay here: ow.ly/nQ8f301FfhX
Introduction to Cognitive Computing the science behind and use of IBM WatsonSubhendu Dey
The lecture was given in a Cognitive and Analytics workshop at Indian Institute of Management. Topics covered was -
1) Understanding Natural Language Processing, Classification, Watson & its modules
2) Industry applications of Cognitive Computing
3) Understanding Cognitive Architecture
4) Understanding the disciplines / tools being used in Cognitive Science
Aaron Roth, Associate Professor, University of Pennsylvania, at MLconf NYC 2017MLconf
Aaron Roth is an Associate Professor of Computer and Information Sciences at the University of Pennsylvania, affiliated with the Warren Center for Network and Data Science, and co-director of the Networked and Social Systems Engineering (NETS) program. Previously, he received his PhD from Carnegie Mellon University and spent a year as a postdoctoral researcher at Microsoft Research New England. He is the recipient of a Presidential Early Career Award for Scientists and Engineers (PECASE) awarded by President Obama in 2016, an Alfred P. Sloan Research Fellowship, an NSF CAREER award, and a Yahoo! ACE award. His research focuses on the algorithmic foundations of data privacy, algorithmic fairness, game theory and mechanism design, learning theory, and the intersections of these topics. Together with Cynthia Dwork, he is the author of the book “The Algorithmic Foundations of Differential Privacy.”
Abstract Summary:
Differential Privacy and Machine Learning:
In this talk, we will give a friendly introduction to Differential Privacy, a rigorous methodology for analyzing data subject to provable privacy guarantees, that has recently been widely deployed in several settings. The talk will specifically focus on the relationship between differential privacy and machine learning, which is surprisingly rich. This includes both the ability to do machine learning subject to differential privacy, and tools arising from differential privacy that can be used to make learning more reliable and robust (even when privacy is not a concern).
Claudia Perlich leads the machine learning efforts that power Dstillery’s digital intelligence for marketers and media companies. With more than 50 published scientific articles, she is a widely acclaimed expert on big data and machine learning applications, and an active speaker at data science and marketing conferences around the world.
Claudia is the past winner of the Advertising Research Foundation’s (ARF) Grand Innovation Award and has been selected for Crain’s New York’s 40 Under 40 list, Wired Magazine’s Smart List, and Fast Company’s 100 Most Creative People.
Claudia holds multiple patents in machine learning. She has won many data mining competitions and awards at Knowledge Discovery and Data Mining (KDD) conferences, and served as the organization’s General Chair in 2014.
Prior to joining Dstillery in 2010, Claudia worked at IBM’s Watson Research Center, focusing on data analytics and machine learning. She holds a PhD in Information Systems from New York University (where she continues to teach at the Stern School of Business), and an MA in Computer Science from the University of Colorado.
Abstract Summary:
Predictability and other Predicaments:
In the context of building predictive models, predictability is usually considered a blessing. After all – that is the goal: build the model that has the highest predictive performance. The rise of ‘big data’ has in fact vastly improved our ability to predict human behavior thanks to the introduction of much more informative features. However, in practice things are more differentiated than that. For many applications, the relevant outcome is observed for very different reasons. In such mixed scenarios, the model will automatically gravitate to the one that is easiest to predict at the expense of the others. This even holds if the predictable scenario is by far less common or relevant. We present a number of applications where this happens: clicks on ads being performed ‘intentionally’ vs. ‘accidentally’, consumers visiting store locations vs. their phones pretending to be there, and finally customers filling out online forms vs. bots defrauding the advertising industry. In conclusion, the combination of different and highly informative features can have significantly negative impact on the usefulness of predictive modeling.
Byron Galbraith, Chief Data Scientist, Talla, at MLconf NYC 2017 MLconf
Byron Galbraith is the Chief Data Scientist and co-founder of Talla, where he works to translate the latest advancements in machine learning and natural language processing to build AI-powered conversational agents. Byron has a PhD in Cognitive and Neural Systems from Boston University and an MS in Bioinformatics from Marquette University. His research expertise includes brain-computer interfaces, neuromorphic robotics, spiking neural networks, high-performance computing, and natural language processing. Byron has also held several software engineering roles including back-end system engineer, full stack web developer, office automation consultant, and game engine developer at companies ranging in size from a two-person startup to a multi-national enterprise.
Abstract Summary:
Bayesian Bandits:
What color should that button be to convert more sales? What ad will most likely get clicked on? What movie recommendations should be displayed to keep subscribers engaged? What should we have for lunch? These are all examples of iterated decision problems — the same choice has to be made repeatedly with the goal being to arrive at an optimal decision strategy by incorporating the results of the previous decisions. In this talk I will describe the Bayesian Bandit solution to these types of problems, how it adaptively learns to minimize regret, how additional contextual information can be incorporated, and how it compares to the more traditional A/B testing solution.
Layla El Asri is a research Scientist at Maluuba. Her work explores artificial intelligence in the context of language understanding, dialogue and human-machine interaction. Layla leads a team seeking to build artificial intelligence systems that are knowledgeable and can exchange information with users to help users accomplish tasks or gain knowledge. Layla completed her PhD at Université de Lorraine in France.
Abstract Summary:
Teaching AI To Make Decisions and Communicate:
Many advances have been made in the area of artificial intelligence, with the goal of building agents that understand how they can interact with their environments, reason and solve complex tasks, and communicate their findings to humans. In this talk, I will focus on efficient decision-making and communication. For decision-making, I will present some work on building an efficient representation of the environment and breaking down tasks into generalizable subtasks. For communication, I will focus on dialogue through natural language and present some of our work in this area.
Why is this new wave of Artificial Intelligence different today? What kind of applications can AI be used for? If you are interested in AI, then you need to read this report.
Ben Lau, Quantitative Researcher, Hobbyist, at MLconf NYC 2017MLconf
Ben Lau is a quantitative researcher in a macro hedge fund in Hong Kong and he looks to apply mathematical models and signal processing techniques to study the financial market. Prior joining the financial industry, he specialized in using his mathematical modelling skills to discover the mysteries of the universe whilst working at Stanford Linear Accelerator Centre, a national accelerator laboratory where he studied the asymmetry between matter and antimatter by analysing tens of billions of collision events created by the particle accelerators. Ben was awarded his Ph.D. in Particle Physics from Princeton University and his undergraduate degree (with First Class Honours) at the Chinese University of Hong Kong.
Abstract Summary:
Deep Reinforcement Learning: Developing a robotic car with the ability to form long term driving strategies is the key for enabling fully autonomous driving in the future. Reinforcement learning has been considered a strong AI paradigm which can be used to teach machines through interaction with the environment and by learning from their mistakes. In this talk, we will discuss how to apply deep reinforcement learning technique to train a self-driving car under an open source racing car simulator called TORCS. I am going to share how this is implemented and will discuss various challenges in this project.
IBM Center for Applied Insights Study.
Hybrid cloud is the de facto state of IT. Leading organizations are blending traditional and cloud infrastructures to achieve better business outcomes—from reduced costs and improved productivity to business growth and digital transformation. What’s more, they’re using hybrid cloud to springboard to next generation activities that allow them to disrupt and capture new markets.
IBM Fellow Dr. Evangelos Eleftheriou presented the following slides at CeBIT 2014 to discuss the impact of Big Data on future storage technologies spanning from tape to phase change memory.
The cognitive advantage: Insights from early adopters on driving business valueSusanne Hupfer, Ph.D.
Wondering how and why forward-thinking businesses are already adopting cognitive computing and artificial intelligence technologies? Curious about the top business challenges organizations are tackling with cognitive computing? The "IBM Cognitive Study," which surveyed 600 leaders and decision-makers from around the world, provides answers to these questions and more. About 70% of decision-makers say that cognitive computing is extremely important to their business strategy and success. Learn how smart companies are becoming cognitive businesses, and how they're already driving tangible results and ROI.
The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...Susanne Hupfer, Ph.D.
Presented by Susanne Hupfer and Nancy Pearson at IBM World of Watson Conference, Oct. 2016.
Wondering how and why forward-thinking businesses are already adopting cognitive computing and artificial intelligence technologies? Curious about the top business challenges organizations are tackling with cognitive computing? The "IBM Cognitive Study," which surveyed 600 leaders and decision-makers from around the world, provides answers to these questions and more. About 70% of decision-makers say that cognitive computing is extremely important to their business strategy and success. Learn how smart companies are becoming cognitive businesses, and how they're already driving tangible results and ROI.
Yuri is a Member of Technical Staff / Data Scientist at eBay in New York City. He is currently focused on developing scalable machine learning algorithms to produce high quality item recommendations. Yuri holds a Ph.D. degree from the Applied Physics and Applied Mathematics department from Columbia University and an undergraduate degree in Physics from UC Berkeley.
Abstract Summary:
Innovations in Recommender Systems for a Semi-structured Marketplace:
eBay has over 1 billion live items on the site at any given time. The lack of structured information about listings as well as variable inventory makes traditional collaborative filtering algorithms difficult to use in eBay’s large semi-structured marketplace. We will discuss approaches to overcome these challenges using machine learning and deep learning (both text and image based models). The details of the sampling strategy, feature engineering, and machine learned ranking model are all important for delivering improved operational metrics in A/B tests. We will cover both system architecture engineering as well as data science and machine learning methods that were developed to generate high quality recommendations.
HfS Webinar Slides: Digital Reinvention For the Cognitive EraHfS Research
Design Thinking and Intelligent Automation are critical building blocks of any organization's journey toward the As-a-Service Economy. Yet, only by changing the mindset and by understanding as well as articulating the goal of this journey, will organizations be able to reap the benefits.
Experts from HfS Research, Applied Materials, and IBM share their experiences and lessons they have learned.
Participants will hear about:
- How IBM has embedded design thinking into our client interactions, enabling both parties to better build out solutions to business problems
- How companies need to build a foundation that allows them to embrace a move to 'digital'
- How building this foundation set them on a 'path to cognitive.'
- How the intelligent automation continuum allows companies to chart a path from 'desktop macros' through to RPA, Automation and Cognitive
- How each company's data maturity will dictate where it steps onto the path and how their journey then progresses
View the webinar replay here: ow.ly/nQ8f301FfhX
Introduction to Cognitive Computing the science behind and use of IBM WatsonSubhendu Dey
The lecture was given in a Cognitive and Analytics workshop at Indian Institute of Management. Topics covered was -
1) Understanding Natural Language Processing, Classification, Watson & its modules
2) Industry applications of Cognitive Computing
3) Understanding Cognitive Architecture
4) Understanding the disciplines / tools being used in Cognitive Science
Aaron Roth, Associate Professor, University of Pennsylvania, at MLconf NYC 2017MLconf
Aaron Roth is an Associate Professor of Computer and Information Sciences at the University of Pennsylvania, affiliated with the Warren Center for Network and Data Science, and co-director of the Networked and Social Systems Engineering (NETS) program. Previously, he received his PhD from Carnegie Mellon University and spent a year as a postdoctoral researcher at Microsoft Research New England. He is the recipient of a Presidential Early Career Award for Scientists and Engineers (PECASE) awarded by President Obama in 2016, an Alfred P. Sloan Research Fellowship, an NSF CAREER award, and a Yahoo! ACE award. His research focuses on the algorithmic foundations of data privacy, algorithmic fairness, game theory and mechanism design, learning theory, and the intersections of these topics. Together with Cynthia Dwork, he is the author of the book “The Algorithmic Foundations of Differential Privacy.”
Abstract Summary:
Differential Privacy and Machine Learning:
In this talk, we will give a friendly introduction to Differential Privacy, a rigorous methodology for analyzing data subject to provable privacy guarantees, that has recently been widely deployed in several settings. The talk will specifically focus on the relationship between differential privacy and machine learning, which is surprisingly rich. This includes both the ability to do machine learning subject to differential privacy, and tools arising from differential privacy that can be used to make learning more reliable and robust (even when privacy is not a concern).
Claudia Perlich leads the machine learning efforts that power Dstillery’s digital intelligence for marketers and media companies. With more than 50 published scientific articles, she is a widely acclaimed expert on big data and machine learning applications, and an active speaker at data science and marketing conferences around the world.
Claudia is the past winner of the Advertising Research Foundation’s (ARF) Grand Innovation Award and has been selected for Crain’s New York’s 40 Under 40 list, Wired Magazine’s Smart List, and Fast Company’s 100 Most Creative People.
Claudia holds multiple patents in machine learning. She has won many data mining competitions and awards at Knowledge Discovery and Data Mining (KDD) conferences, and served as the organization’s General Chair in 2014.
Prior to joining Dstillery in 2010, Claudia worked at IBM’s Watson Research Center, focusing on data analytics and machine learning. She holds a PhD in Information Systems from New York University (where she continues to teach at the Stern School of Business), and an MA in Computer Science from the University of Colorado.
Abstract Summary:
Predictability and other Predicaments:
In the context of building predictive models, predictability is usually considered a blessing. After all – that is the goal: build the model that has the highest predictive performance. The rise of ‘big data’ has in fact vastly improved our ability to predict human behavior thanks to the introduction of much more informative features. However, in practice things are more differentiated than that. For many applications, the relevant outcome is observed for very different reasons. In such mixed scenarios, the model will automatically gravitate to the one that is easiest to predict at the expense of the others. This even holds if the predictable scenario is by far less common or relevant. We present a number of applications where this happens: clicks on ads being performed ‘intentionally’ vs. ‘accidentally’, consumers visiting store locations vs. their phones pretending to be there, and finally customers filling out online forms vs. bots defrauding the advertising industry. In conclusion, the combination of different and highly informative features can have significantly negative impact on the usefulness of predictive modeling.
Byron Galbraith, Chief Data Scientist, Talla, at MLconf NYC 2017 MLconf
Byron Galbraith is the Chief Data Scientist and co-founder of Talla, where he works to translate the latest advancements in machine learning and natural language processing to build AI-powered conversational agents. Byron has a PhD in Cognitive and Neural Systems from Boston University and an MS in Bioinformatics from Marquette University. His research expertise includes brain-computer interfaces, neuromorphic robotics, spiking neural networks, high-performance computing, and natural language processing. Byron has also held several software engineering roles including back-end system engineer, full stack web developer, office automation consultant, and game engine developer at companies ranging in size from a two-person startup to a multi-national enterprise.
Abstract Summary:
Bayesian Bandits:
What color should that button be to convert more sales? What ad will most likely get clicked on? What movie recommendations should be displayed to keep subscribers engaged? What should we have for lunch? These are all examples of iterated decision problems — the same choice has to be made repeatedly with the goal being to arrive at an optimal decision strategy by incorporating the results of the previous decisions. In this talk I will describe the Bayesian Bandit solution to these types of problems, how it adaptively learns to minimize regret, how additional contextual information can be incorporated, and how it compares to the more traditional A/B testing solution.
Layla El Asri is a research Scientist at Maluuba. Her work explores artificial intelligence in the context of language understanding, dialogue and human-machine interaction. Layla leads a team seeking to build artificial intelligence systems that are knowledgeable and can exchange information with users to help users accomplish tasks or gain knowledge. Layla completed her PhD at Université de Lorraine in France.
Abstract Summary:
Teaching AI To Make Decisions and Communicate:
Many advances have been made in the area of artificial intelligence, with the goal of building agents that understand how they can interact with their environments, reason and solve complex tasks, and communicate their findings to humans. In this talk, I will focus on efficient decision-making and communication. For decision-making, I will present some work on building an efficient representation of the environment and breaking down tasks into generalizable subtasks. For communication, I will focus on dialogue through natural language and present some of our work in this area.
Why is this new wave of Artificial Intelligence different today? What kind of applications can AI be used for? If you are interested in AI, then you need to read this report.
Ben Lau, Quantitative Researcher, Hobbyist, at MLconf NYC 2017MLconf
Ben Lau is a quantitative researcher in a macro hedge fund in Hong Kong and he looks to apply mathematical models and signal processing techniques to study the financial market. Prior joining the financial industry, he specialized in using his mathematical modelling skills to discover the mysteries of the universe whilst working at Stanford Linear Accelerator Centre, a national accelerator laboratory where he studied the asymmetry between matter and antimatter by analysing tens of billions of collision events created by the particle accelerators. Ben was awarded his Ph.D. in Particle Physics from Princeton University and his undergraduate degree (with First Class Honours) at the Chinese University of Hong Kong.
Abstract Summary:
Deep Reinforcement Learning: Developing a robotic car with the ability to form long term driving strategies is the key for enabling fully autonomous driving in the future. Reinforcement learning has been considered a strong AI paradigm which can be used to teach machines through interaction with the environment and by learning from their mistakes. In this talk, we will discuss how to apply deep reinforcement learning technique to train a self-driving car under an open source racing car simulator called TORCS. I am going to share how this is implemented and will discuss various challenges in this project.
Irish Innovation Taskforce - Final Report - Office of the Prime Minister - Ma...Burton Lee
Final Report of the Irish National Innovation Taskforce, Office of the Prime Minister, March 2010. Co-authors: Burton Lee, Chris Horn, Anna Scally, Peter Clinch, and many others.
Supporting Scotland's oil & gas supply chain companiesscottishenterprise
International, innovative, efficient - we're here to help Scotland's oil and gas supply chain companies build on their global reputation for expertise and experience.
From support to find new customers in global markets to advice on achieving innovation success, we've got a range of services to help your oil and gas business.
Our SMAS team can help you increase efficiency and our networks like GlobalScot and TalentScotland can help you find new customers, partners and workers from around the world.
Create an Executive Summary using the following information for the .pdfmurtuzadahadwala3
Create an Executive Summary using the following information for the report of investing in
Australia.
Investing in Australia
Economic Factors: Australia's economy, with a GDP of $1.4 trillion, is steady and diverse. The
nation is among the most prosperous in the globe and has a good standard of life. Mining,
agribusiness, and industries play a significant role in the economy.
Pros: Stable and diversified economy and High standard of living
Cons: Heavy reliance on mining, Agriculture and High labor costs
Political Factors: Australia has a secure government system and is a democratic nation. The
government has laws in place to safeguard investors and promotes international investment.
Pros: Stable political environment and Supportive government policies for foreign investment
Cons: Complex regulatory environment and High levels of bureaucracy
Infrastructure Factors: Australia's infrastructure, which includes highways, ports, and runways, is
well-developed. The nation has excellent global connections and a highly qualified labor
population.
Pros: Well-developed infrastructure and highly skilled workforce
Cons: High cost of living and Limited access to some regional markets
Cultural Factors: Australia has a multicultural culture that is varied. The nation exhibits a high
degree of invention and a strong sense of entrepreneurship.
Pros: Multicultural society and Entrepreneurial spirit
Cons: Geographically isolated from major markets and Limited domestic market size
Competence Factors: Australia's highly skilled workforce, robust education system, reliable
customs, and security system, and modern logistics infrastructure are significant advantages for
businesses.
Pros: Efficient logistics and transportation system.
Cons: For companies operating in some regions of Australia, logistics can be difficult and costly
due to the country's large size and remote locations.
Business Opportunities in Australia: Australia offers a wide variety of career possibilities in a
number of different industries. For our client, some possible company possibilities include:
Tourism:
Australia draws millions of visitors each year because of its stunning natural surroundings.
Investments in tourism-related companies like hotels, resorts, or trip operators may be considered
by our customer.
Food and Beverage:
Australia's food and beverage sector is expanding quickly, and there is a high demand for fresh,
cutting-edge goods. The confectionery bar company owned by our customer might do well in
this industry.
Technology:
With a highly skilled labor population, Australia has a flourishing technology industry. Our
customer might think about making an investment in tech-related companies, like those that
create software or engage in online sales.
Comparison with New Zealand
New Zealand is a small country with a population of only 5 million. The country has a stable
political environment, a strong tourism industry, and a high level of innovation. However, New
Zealand has a limited.
SEEDA Innovation and Growth Teams One Year On (june 2010)Martin Dare-Edwards
Report summarising and highlighting the achievements of the 8 South East England, Innovation and Growth Teams (IGT's) which have received funding support from SEEDA. The Oxfordshire IGT has been a major contributor to the excellent performance outcomes.
Network Rail & Innovate UK: Introduction to Innovate UK - Kelvin Davies, Inno...KTN
Two new SBRIs have been announced to drive efficiency and safety in the rail industry. Network Rail will work with Innovate UK, part of UK Research and Innovation, to invest up to £3m to address two of the objectives identified in Network Rail’s CP6 funding strategy for research and development:
- Automated tunnel examination
- Security surveillance analytics for stations
This briefing event is an opportunity for you to find out more about the two SBRI competitions and how to apply, and there will be ample time for networking.
The webcast recording is now available: https://youtu.be/Uqq452lk90c
Find out more about the Transport Interest Group at https://ktn-uk.co.uk/interests/transport
Join the KTN Transport group on LinkedIn at https://www.linkedin.com/groups/4148691/
Create an Executive Summary using the following report on investing .pdfmurtuzadahadwala3
Create an Executive Summary using the following report on investing in Australia. It will be
presented to the investing client.
Investing in Australia
Economic Factors: Australia's economy, with a GDP of $1.4 trillion, is steady and diverse. The
nation is among the most prosperous in the globe and has a good standard of life. Mining,
agribusiness, and industries play a significant role in the economy.
Pros: Stable and diversified economy and High standard of living
Cons: Heavy reliance on mining, Agriculture and High labor costs
Political Factors: Australia has a secure government system and is a democratic nation. The
government has laws in place to safeguard investors and promotes international investment.
Pros: Stable political environment and Supportive government policies for foreign investment
Cons: Complex regulatory environment and High levels of bureaucracy
Infrastructure Factors: Australia's infrastructure, which includes highways, ports, and runways, is
well-developed. The nation has excellent global connections and a highly qualified labor
population.
Pros: Well-developed infrastructure and highly skilled workforce
Cons: High cost of living and Limited access to some regional markets
Cultural Factors: Australia has a multicultural culture that is varied. The nation exhibits a high
degree of invention and a strong sense of entrepreneurship.
Pros: Multicultural society and Entrepreneurial spirit
Cons: Geographically isolated from major markets and Limited domestic market size
Competence Factors: Australia's highly skilled workforce, robust education system, reliable
customs, and security system, and modern logistics infrastructure are significant advantages for
businesses.
Pros: Efficient logistics and transportation system.
Cons: For companies operating in some regions of Australia, logistics can be difficult and costly
due to the country's large size and remote locations.
Business Opportunities in Australia: Australia offers a wide variety of career possibilities in a
number of different industries. For our client, some possible company possibilities include:
Tourism:
Australia draws millions of visitors each year because of its stunning natural surroundings.
Investments in tourism-related companies like hotels, resorts, or trip operators may be considered
by our customer.
Food and Beverage:
Australia's food and beverage sector is expanding quickly, and there is a high demand for fresh,
cutting-edge goods. The confectionery bar company owned by our customer might do well in
this industry.
Technology:
With a highly skilled labor population, Australia has a flourishing technology industry. Our
customer might think about making an investment in tech-related companies, like those that
create software or engage in online sales.
Comparison with New Zealand
New Zealand is a small country with a population of only 5 million. The country has a stable
political environment, a strong tourism industry, and a high level of innovation. However,.
Jobs are being disrupted more and more. What is the future for jobs? How do we prepare and move into this brave new world. Should we be pessimistic or optimistic?
CIO's implanting digital transformation strategies are facing increasing challenges on how to migrate security integrated hybrid technologies. Find out here the future of Future Networks today
AI driven automation will create wealth and expand economies. Find out the views of the Executive Office of the US President in this AI Government led initiative.
Deloitte's report and point of view on IBM's Watson. IBM Watson, AI, Cognitive Computing are rapidly evolving technologies that can support and enhance enterprise solutions. Learn about IBM Watson the Why? and the How?
Great Bigdata eBook giving a perspective of Bigdata Analytics Predictions for 2016. Learn about the milestones, landmarks and futures of this fast growing arena.
The Inclusive Digital Revolution. Equitable growth and wealth creation for all. A new way of thinking often starts a new way for economies, societies and individuals to prosper. A must read for all.
Weiner said he has been impressed with Nadella "since he took over as CEO" in February 2014. "You see what he's been doing with the company, the way in which Microsoft has become increasingly open and agile, innovative, purpose-driven — to do that at a company like Microsoft is amazing."
The Connected world evolves and more elements of our analogue world and being connected to our digital world. WE all need to understand this mega-trend and the drivers for IoT in 2017 and beyond
The Top 10 Emerging Technologies 2016 list, compiled by the Forum’s Meta-Council on Emerging Technologies and published in collaboration with Scientific American, highlights technological advances its members believe have the power to improve lives, transform industries and safeguard the planet. It also provides an opportunity to debate any human, societal, economic or environmental risks and concerns that the technologies may pose prior to widespread adoption.
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Memorandum Of Association Constitution of Company.pptseri bangash
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A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
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Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
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Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
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Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
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RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
effectively manage the convert Accpac to QuickBooks , with a particular focus on utilizing online accounting services to streamline the process.
India Orthopedic Devices Market: Unlocking Growth Secrets, Trends and Develop...Kumar Satyam
According to TechSci Research report, “India Orthopedic Devices Market -Industry Size, Share, Trends, Competition Forecast & Opportunities, 2030”, the India Orthopedic Devices Market stood at USD 1,280.54 Million in 2024 and is anticipated to grow with a CAGR of 7.84% in the forecast period, 2026-2030F. The India Orthopedic Devices Market is being driven by several factors. The most prominent ones include an increase in the elderly population, who are more prone to orthopedic conditions such as osteoporosis and arthritis. Moreover, the rise in sports injuries and road accidents are also contributing to the demand for orthopedic devices. Advances in technology and the introduction of innovative implants and prosthetics have further propelled the market growth. Additionally, government initiatives aimed at improving healthcare infrastructure and the increasing prevalence of lifestyle diseases have led to an upward trend in orthopedic surgeries, thereby fueling the market demand for these devices.
Attending a job Interview for B1 and B2 Englsih learnersErika906060
It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
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What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
1. Building our Industrial Strategy
The challenge
Investing in
science, research
& innovation
Our 10 pillars
Developing
skills
Our economy has great strengths, but while many people,
places and businesses are thriving, opportunities and
growth are still spread unevenly across the country.
We want to hear from every part of the country, every
sector of industry and businesses of every size.
This is a public consultation, and we welcome your
comments and contributions to inform our industrial
strategy and help deliver an economy that works for
everyone.
Have your say: www.gov.uk/beis
Upgrading
infrastructure
Cultivating
world-leading
sectors
Supporting
businesses to
start & grow
Your views
Improving
procurement
Encouraging
trade & inward
investment
Delivering
affordable energy
& clean growth
Creating the
right local
institutions
Driving growth
across the
whole country
Our approach
We are developing a modern industrial strategy. We want
to build on our strengths to enable all parts of the country
to succeed: helping to deliver a high-skilled, competitive
economy that benefits people throughout the UK.