A talk on AI (Artificial Intelligence) titled “Managing the development of AI and Machines that learn” presented by the CEO of nuenergy.ai, Niraj Bhargava.
It is widely acknowledged that AI technology will
transform organizations and society around the globe – and with recent
advancements in processing power, data accessibility, and algorithms we
suddenly find ourselves at the beginning of this transformation.
Introducing the Machine Trust Index (MTI), assisting us to boldly
proceed with a responsible, innovative spirit. The goal of the MTI is to
establish an open and versatile framework for measuring and managing
trust in the evolving sphere of AI. The MTI provides measurable
evidence, transparency and accountability of an AI solution, allowing
providers to effectively communicate the value of their solutions as
well as their measurable trustworthiness.
Niraj Bhargava is Founder and CEO of NuEnergy.ai,
the developers of the Machine Trust Index™ (MTI) for managing AI
deployments. He is also Chair of the Innovation Committee of the Board
at the Royal Ottawa. Niraj was President and CEO of Enerstat
Limited, and led it through its turnaround and acquisition, Founding CEO
of QCED Inc., a faculty member in Entrepreneurship at Queen’s
University, a Director of the Queen’s Executive MBA, and then Dean of
the Business School at Royal Roads University. Niraj practiced
engineering at Bell-Northern Research and global marketing at General
Electric, and was the founding General Manager of GE Energy Management. Niraj was the founding CEO of Fluent.ai in Montreal and Co-Founder, Chairman and Chief Executive Officer of Energate Inc.
Why should you attend?
· Data analytics is a priority for many organizations
· Many jobs now call for some level of analytic
· Storytelling with data will soon become a “must
What is Cognos Analytics?
“IBM® Cognos® Analytics integrates data preparation,
reporting, modeling, self-service analysis, dashboards, stories, event
management and now automated predictive analytics into one stack. Moreover, the
latest release makes extensive use of AI, including machine learning, natural
language processing (NLP) and natural language generation (NLG), in order to
automate as many features for the end user as possible, in an effort to make
BI, analytics and predictive analysis easy for business users.”
About the speaker:
Mohammed Omar Khan is an Offering Manager on the IBM Cognos
Analytics. He works with the development, design, sales, marketing, support and
more teams to make Cognos Analytics a leader in the BI market. He is a Carleton
University Alumni. Some of his achievements include 2nd place in Data Day 5.0
Poster Competition held at Carleton University, IBM VP Award, and IBM Managers
Algonquin College – School of Advanced Technology
MORE THAN 40 PART-TIME FACULTY POSITIONS AVAILABLE
SATURDAY, MAY 25, 2019
9am to 1pm
Join the learner-driven workforce of one of the National Capital Region’s Top Employers.
Enjoy a career you can be proud of by helping our learners become the leaders of tomorrow. We are looking for part-time faculty members in the following programs:
• Aviation Management – General Arts and Science
• Computer Engineering Technology – Computing Science
• Electro-Mechanical Engineering Technician
• Manufacturing Engineering Technician
• Mechanical Engineering Technology
• Computer Programmer
• Computer Systems Technician
• Computer Systems Technology – Security
• Bachelor of Information Technology – Network Technology
You are invited to the technical talk entitled
Recent Results and Open Problems in Evolutionary Multiobjective Optimization
Thursday May 30th, 2019
6:15 PM Arrival and networking (light snacks available)
6:45 PM Approximate start of talk (40-60 mins)
7:45 – 8:00 PM Q&A period
8:00 – 8:30 PM Post-talk networking and discussion
Colonel By (CBY) A-707
Faculty of Engineering
University of Ottawa
161 Louis Pasteur Private, Ottawa, K1N 6N5
admission is free but registration is required on EventBrite
Evolutionary algorithms (as well as a number of other metaheuristics) have become a popular choice for solving problems having two or more (often conflicting) objectives (the so-called multi-objective optimization problems). This area, known as EMOO (Evolutionary Multi-Objective Optimization) has had an important growth in the last 15 years, and several people (particularly newcomers) get the impression that it is now very difficult to make contributions of sufficient value to justify, for example, a PhD thesis. However, a lot of interesting research is still under way. In this talk, we will review some of the research topics on evolutionary multi-objective optimization that are currently attracting a lot of interest (e.g., handling many objectives, hybridization, indicator-based selection, use of surrogates, etc.) and which represent good opportunities for doing research. Some of the challenges currently faced by this discipline will also be delineated.
Carlos Artemio Coello Coello received a PhD in Computer Science from Tulane University (USA) in 1996. His research has mainly focused on the design of new multi-objective optimization algorithms based on bio-inspired metaheuristics, which is an area in which he has made pioneering contributions. He currently has over 470 publications which, according to Google Scholar, report over 43,900 citations (with an h-index of 83). He has received several awards, including the National Research Award (in 2007) from the Mexican Academy of Science (in the area of exact sciences), the 2009 Medal to the Scientific Merit from Mexico City’s congress, the Ciudad Capital: Heberto Castillo 2011 Award for scientists under the age of 45, in Basic Science, the 2012 Scopus Award (Mexico’s edition) for being the most highly cited scientist in engineering in the 5 years previous to the award and the 2012 National Medal of Science in Physics, Mathematics and Natural Sciences from Mexico’s presidency (this is the most important award that a scientist can receive in Mexico). He is also the recipient of the prestigious 2013 IEEE Kiyo Tomiyasu Award, “for pioneering contributions to single- and multiobjective optimization techniques using bioinspired metaheuristics” and of the 2016 The World Academy of Sciences (TWAS) Award in “Engineering Sciences”. Since January 2011, he is an IEEE Fellow. He is also Associate Editor of several journals including the two most prestigious in his area: IEEE Transactions on Evolutionary Computation and Evolutionary Computation. He is currently Vicepresident for Member Activities of the IEEE Computational Intelligence Society (CIS), an IEEE CIS Distinguished Lecturer and Full Professor with distinction at the Computer Science Department of CINVESTAV-IPN in Mexico City, Mexico.
The role of Internet and Communication Technology (ICT) in
bringing about a revolution in almost all aspects of human life needs no
introduction. It is indeed a well-known fact that the transmission of
information at a rapid pace has transformed all spheres of human life such as
education, health, and economy to name a few. In addition, with the advent in
Electronics and Photonics Technology (EPT), we have observed sustained growth
and expansion in computation and display technology. From user demography
perspective, urbanized population are the major beneficiary of such advances.
Therefore, the benefits of ICT and EPT are yet to be experienced by almost 4
billion people in the world who are still “unconnected or under-connected” and
suffer as such from the “digital divide,” a term coined in order to emphasize
the lack of ICT infrastructure in many parts of the world.
Major challenges for widespread adoption of ICT and EPT in
these areas are related to cost, lack of power supply, and complexities
associated with learning and usage. However, if we can categorically overcome
these challenges, then these technologies can be used for food, water, shelter,
energy, environment, education, healthcare, and security. In addition, the
wide-spread availability of these technologies, will lead to smart suburbs,
smart towns, smart villages, etc., without the need to necessarily live in
smart cities. This would reverse the trend and allow a more sustainable world
with a more balanced distribution of the population density. In this context,
this talk will present recently proposed solutions to provide high speed
connectivity in rural areas along progress in affordable electronics to serve
and contribute to the development of far-flung regions.
In particular, new solutions for both: (i) integrated
satellite-airborne-ground networks providing global coverage and connectivity
and (ii) terrestrial mesh/multi-hop directive networks connecting underserved
areas will be discussed.
Moreover, some examples of democratized wearable
electronics using Do-It-Yourself (DIY) assembly of paper along Android DIY
applications capturing and displaying vital health signs over connected
smartphones for real-time diagnosis will be presented.