Data, Cloud and AI in Tokyo

 
 
 

Please join the session that is best suited to your time zone...this topic is repeated at 2 different times.
Now that quantum computing is available to the masses, what can be done with this new technology outside of scientific research?

We will be providing an overview and deep dive into how quantum computing can be used for artistic and creative purposes. Over the course of an hour, Wiktor Mazin and Russell Huffman will give a survey of how quantum computing is being adopted by creative practitioners, and then go through a tutorial on how you can get started by created fractal art with quantum information, quantum circuits, and using IBM’s real state of the art quantum systems.

All necessary tools and links to get started will be covered during this talk.

Note that this is part 7 of an 8-session series on Quantum Computing on Mar 22/23, Apr 5/6, Apr 19/20, May 3/4, May 17/18, May 31/Jun 1, Jun 14/15, Jul 5/6. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions.

Presenters: Wiktor Mazin, Russell Huffman

Wiktor Mazin is a Principal Data Scientist in the Client Engineering team, a Qiskit Advocate and a Quantum HCLS Ambassador at IBM. Wiktor works with clients co-creating minimal viable products leveraging IBM’s data & AI solutions and platform. He has 15 years+ experience with a variety of data science and machine learning challenges across a range of industries.
Wiktor holds a M.Sc. in Engineering (chaos theory & Turing patterns), a Ph.D. and a MMT (eMBA) from the Technical University of Denmark (DTU).

Russell Huffman is a Design Lead with IBM Quantum, a Qiskit Advocate, and a Quantum Ambassador. He has an M.Sc. in Digital Media from Georgia Tech and over 10 years of industry design experience.
Russell has built his career at the intersection of emerging technology and design, including working in AI and quantum computing with several patents in both fields. He also has one of the world’s first quantum art installations, currently on display in one of IBM’s offices in Manhattan.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/rf1878d453abfa5fc4b5cfaed9ec27663

 
 
 

Please join the session that is best suited to your time zone...this topic is repeated at 2 different times.
Now that quantum computing is available to the masses, what can be done with this new technology outside of scientific research?

We will be providing an overview and deep dive into how quantum computing can be used for artistic and creative purposes. Over the course of an hour, Wiktor Mazin and Russell Huffman will give a survey of how quantum computing is being adopted by creative practitioners, and then go through a tutorial on how you can get started by created fractal art with quantum information, quantum circuits, and using IBM’s real state of the art quantum systems.

All necessary tools and links to get started will be covered during this talk.

Note that this is part 7 of an 8-session series on Quantum Computing on Mar 22/23, Apr 5/6, Apr 19/20, May 3/4, May 17/18, May 31/Jun 1, Jun 14/15, Jul 5/6. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions.

Presenters: Wiktor Mazin, Russell Huffman

Wiktor Mazin is a Principal Data Scientist in the Client Engineering team, a Qiskit Advocate and a Quantum HCLS Ambassador at IBM. Wiktor works with clients co-creating minimal viable products leveraging IBM’s data & AI solutions and platform. He has 15 years+ experience with a variety of data science and machine learning challenges across a range of industries.
Wiktor holds a M.Sc. in Engineering (chaos theory & Turing patterns), a Ph.D. and a MMT (eMBA) from the Technical University of Denmark (DTU).

Russell Huffman is a Design Lead with IBM Quantum, a Qiskit Advocate, and a Quantum Ambassador. He has an M.Sc. in Digital Media from Georgia Tech and over 10 years of industry design experience.
Russell has built his career at the intersection of emerging technology and design, including working in AI and quantum computing with several patents in both fields. He also has one of the world’s first quantum art installations, currently on display in one of IBM’s offices in Manhattan.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/r53693df31c3b316a9abbb3943198e137

 
 
 

Please join the session that is best suited to your time zone...this topic is repeated at 2 different times.
We’ve all had that frustrating experience of trying to search for something and not finding the results we are after. By building systems that leverage NLP, we can infuse our systems with semantic knowledge and minimize this frustration for end users of our systems.

Free-text search can be limiting, requiring us to search using the exact set of keywords that have been indexed. To go beyond simple text matching requires an understanding of both the search intent and the semantic meaning of the words being searched.

In this session we will explore:
- How knowledge graphs can be used to represent semantic relationships
- How ontologies can be used to infer additional knowledge from the graph
- How natural language processing techniques can be applied to understanding search intent
- How a knowledge graph can be combined with traditional text search indices

Presenters: Jenna Lau-Caruso

Jenna Lau-Caruso is a Senior Software Engineer with Cloud Pak for Data in IBM Data and AI. Since joining IBM in 2006, she has worked in a variety of domains including automation, virtualization, and high performance distributed computing. For the past two and a half years she has been focused on elevating the search capabilities on the Cloud Pak for Data platform.

Jenna graduated from York University with a Bachelor of Arts in Computer Science and Creative Writing. She loves being able to apply creativity to solve problems through computing.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/rff28513fcbbe8c293e9fd131df87c950

 
 
 

Watsonx Day, is an IBM TechXchange Virtual Event and a must-attend event for technologists who want to put AI to work. This free, virtual conference is happening on 21 June 2023 (replays available) across three time zones (ET, EMEA, APAC).

• Eastern Time (UTC -5): 11 AM–6 PM
• Western European Time (UTC +1) : 3 PM–5 PM
• APAC Time (UTC +9): 9 AM–11 AM

Access over 40 sessions across three tracks:

• watsonx from IBM Experts: Top IBM experts share insights and expertise to scale and accelerate the impact of AI with trusted data.
• watsonx from Real World Examples: IBM users who have successfully implemented watsonx will engage in interactive discussions.
• watsonx from the Ecosystem: Trusted IBM ecosystem partners will leverage and complement the watsonx platform to drive innovation & AI adoption. Partners will implement and extend watsonx for different use cases and industries, showcasing how it can transform businesses and create value.

Watsonx Day provides a sampling of technical content to come at the upcoming IBM TechXchange Conference in Las Vegas this September.

Register for watsonx Day via https://ibm-techxchange.bemyapp.com/watsonx

 
 
 

Please join the session that is best suited to your time zone...this topic is repeated at 2 different times.
We’ve all had that frustrating experience of trying to search for something and not finding the results we are after. By building systems that leverage NLP, we can infuse our systems with semantic knowledge and minimize this frustration for end users of our systems.

Free-text search can be limiting, requiring us to search using the exact set of keywords that have been indexed. To go beyond simple text matching requires an understanding of both the search intent and the semantic meaning of the words being searched.

In this session we will explore:
- How knowledge graphs can be used to represent semantic relationships
- How ontologies can be used to infer additional knowledge from the graph
- How natural language processing techniques can be applied to understanding search intent
- How a knowledge graph can be combined with traditional text search indices

Presenters: Jenna Lau-Caruso

Jenna Lau-Caruso is a Senior Software Engineer with Cloud Pak for Data in IBM Data and AI. Since joining IBM in 2006, she has worked in a variety of domains including automation, virtualization, and high performance distributed computing. For the past two and a half years she has been focused on elevating the search capabilities on the Cloud Pak for Data platform.

Jenna graduated from York University with a Bachelor of Arts in Computer Science and Creative Writing. She loves being able to apply creativity to solve problems through computing.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/r8b4098879eaa537e3e287de29f0a6802

 
 
 

Topic repeated at 2 different times, please join the session that is best suited for your time zone.
Advances in quantum computing hardware and software are bringing us closer to the realization of quantum advantage. In this session, we will examine features of Qiskit and the IBM Quantum platform that will help realize this goal.

First, we'll cover the use of error mitigation and suppression techniques that can help improve the results of quantum computations on current hardware. Next, circuit knitting methods will be presented, showing how we can do large quantum calculations with fewer qubits. We will bring these techniques together in a demonstration of a quantum chemistry calculation using Qiskit Nature.

Note that this is part 8 of an 8-session series on Quantum Computing on Mar 22/23, Apr 5/6, Apr 19/20, May 3/4, May 17/18, May 31/Jun 1, Jun 14/15, Jul 5/6. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions.

Presenter: Dr. Sean Wagner

Sean Wagner is a Research Scientist and a Quantum Technical Ambassador at IBM. When he's not programming and experimenting with Qiskit, Sean spends his time working with researchers at academic institutions and industry partners in Canada on projects involving high-performance computing, hardware acceleration, quantum computing, and data science and AI.

Dr. Wagner holds a B.A.Sc. degree in Computer Engineering from the University of Waterloo, and M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Toronto.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/rad87b6c1e0d410c55e15d248117887f8

 
 
 

Topic repeated at 2 different times, please join the session that is best suited for your time zone.
Advances in quantum computing hardware and software are bringing us closer to the realization of quantum advantage. In this session, we will examine features of Qiskit and the IBM Quantum platform that will help realize this goal.

First, we'll cover the use of error mitigation and suppression techniques that can help improve the results of quantum computations on current hardware. Next, circuit knitting methods will be presented, showing how we can do large quantum calculations with fewer qubits. We will bring these techniques together in a demonstration of a quantum chemistry calculation using Qiskit Nature.

Note that this is part 8 of an 8-session series on Quantum Computing on Mar 22/23, Apr 5/6, Apr 19/20, May 3/4, May 17/18, May 31/Jun 1, Jun 14/15, Jul 5/6. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions.

Presenter: Dr. Sean Wagner

Sean Wagner is a Research Scientist and a Quantum Technical Ambassador at IBM. When he's not programming and experimenting with Qiskit, Sean spends his time working with researchers at academic institutions and industry partners in Canada on projects involving high-performance computing, hardware acceleration, quantum computing, and data science and AI.

Dr. Wagner holds a B.A.Sc. degree in Computer Engineering from the University of Waterloo, and M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Toronto.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/r4d46084c94758f6c597a25c16918c537

 
 
 

Topic repeated at 2 different times, please join the session that is best suited for your time zone.
This session is open to everyone interested in Data Science! Each year IBMers apply to be WiDS Ambassadors, and host a number of WiDS Regional events, often in collaboration with universities, partners, etc. The Ambassadors bring the Women in Data Science (WiDS) Worldwide conference, a program from Stanford University, to colleagues and communities at large.

Join this session to hear from two outstanding speakers who participated in WiDS events:

Talk Title: Open-Source Knowledge for Language Models
· Speaker: Dr. Rosario Uceda-Sosa, Senior Technical Staff Member, IBM
· Duration: 30 minutes including Q&A

Talk Title: Security of Foundation Models
· Speaker: Dr Nathalie Baracaldo, Research Staff Member, IBM
· Duration: 30 minutes including Q&A

WiDS @ IBM is an independent event that is organized by the Technical Meetup Group hosted by IBM as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.

Presenters: Dr. Rosario Uceda-Sosa, Dr Nathalie Baracaldo

Dr. Rosario Uceda-Sosa is a leading researcher in semantic information models in IBM T.J. Watson Research Lab and has worked in ontologies for various domains such as smart cities, financial services, healthcare, conversational systems, and tourism, among others. Her work focuses on the usability of ontologies as the next generation of data source schemas. Her industrial experience includes working as a consultant in software design and usability, modeling and web technologies for companies like Ford, Chrysler, GM and Kellogg. In 2008, Dr. Uceda-Sosa led the Global Technology Outlook, a worldwide IBM strategy process that helps drive IBM's 6-billion-dollar investment in R&D. She has delivered keynote speeches at AAAI-2014 Semantic Cities and was the Industry Day Chair for IJCAI-16 and has participated in program committees for conferences like AAAI, IJCAI and ACM Multimedia. She has authored 28 US and global patents and was named senior member of the ACM. She holds a PhD in Computer Science and Engineering, a MS in Mathematics, and a MS in Computer Engineering from the University of Michigan.

Dr Nathalie Baracaldo leads the AI Security and Privacy Solutions team and is a Research Staff Member at IBM’s Almaden Research Center in San Jose, CA. Nathalie is passionate about delivering machine learning solutions that are highly accurate, withstand adversarial attacks and protect data privacy. Her team focuses on two main areas: federated learning, where models are trained without directly accessing training data, and adversarial machine learning, where defenses are designed to withstand potential attacks to the machine learning pipeline. Nathalie is the primary investigator for the DARPA program “Guaranteeing AI Robustness Against Deception” (GARD). Nathalie co-edited the book “Federated Learning: A Comprehensive Overview of Methods and Applications” Springer, 2022. In 2020, Nathalie received the IBM Master Inventor distinction for her contributions to the IBM intellectual property and innovation. Nathalie also received the 2021 Corporate Technical Recognition, one of the highest recognitions provided to IBMers for breakthrough technical achievements to the Trusted AI Initiative, which has led to notable market and industry success for IBM. Nathalie received her Ph.D. degree from the University of Pittsburgh, USA in 2016.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/r33687da024301507f929f7c74b462c1b

 
 
 

Topic repeated at 2 different times, please join the session that is best suited for your time zone.
This session is open to everyone interested in Data Science! Each year IBMers apply to be WiDS Ambassadors, and host a number of WiDS Regional events, often in collaboration with universities, partners, etc. The Ambassadors bring the Women in Data Science (WiDS) Worldwide conference, a program from Stanford University, to colleagues and communities at large.

Join this session to hear from two outstanding speakers who participated in WiDS events:

Talk Title: Open-Source Knowledge for Language Models
· Speaker: Dr. Rosario Uceda-Sosa, Senior Technical Staff Member, IBM
· Duration: 30 minutes including Q&A

Talk Title: Security of Foundation Models
· Speaker: Dr Nathalie Baracaldo, Research Staff Member, IBM
· Duration: 30 minutes including Q&A

WiDS @ IBM is an independent event that is organized by the Technical Meetup Group hosted by IBM as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.

Presenters: Dr. Rosario Uceda-Sosa, Dr Nathalie Baracaldo

Dr. Rosario Uceda-Sosa is a leading researcher in semantic information models in IBM T.J. Watson Research Lab and has worked in ontologies for various domains such as smart cities, financial services, healthcare, conversational systems, and tourism, among others. Her work focuses on the usability of ontologies as the next generation of data source schemas. Her industrial experience includes working as a consultant in software design and usability, modeling and web technologies for companies like Ford, Chrysler, GM and Kellogg. In 2008, Dr. Uceda-Sosa led the Global Technology Outlook, a worldwide IBM strategy process that helps drive IBM's 6-billion-dollar investment in R&D. She has delivered keynote speeches at AAAI-2014 Semantic Cities and was the Industry Day Chair for IJCAI-16 and has participated in program committees for conferences like AAAI, IJCAI and ACM Multimedia. She has authored 28 US and global patents and was named senior member of the ACM. She holds a PhD in Computer Science and Engineering, a MS in Mathematics, and a MS in Computer Engineering from the University of Michigan.

Dr Nathalie Baracaldo leads the AI Security and Privacy Solutions team and is a Research Staff Member at IBM’s Almaden Research Center in San Jose, CA. Nathalie is passionate about delivering machine learning solutions that are highly accurate, withstand adversarial attacks and protect data privacy. Her team focuses on two main areas: federated learning, where models are trained without directly accessing training data, and adversarial machine learning, where defenses are designed to withstand potential attacks to the machine learning pipeline. Nathalie is the primary investigator for the DARPA program “Guaranteeing AI Robustness Against Deception” (GARD). Nathalie co-edited the book “Federated Learning: A Comprehensive Overview of Methods and Applications” Springer, 2022. In 2020, Nathalie received the IBM Master Inventor distinction for her contributions to the IBM intellectual property and innovation. Nathalie also received the 2021 Corporate Technical Recognition, one of the highest recognitions provided to IBMers for breakthrough technical achievements to the Trusted AI Initiative, which has led to notable market and industry success for IBM. Nathalie received her Ph.D. degree from the University of Pittsburgh, USA in 2016.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/r2aadbcb51daafb7fdb7ae889e3b019d1

 
 
 

Please join the session that is best suited to your time zone...this topic is repeated at 2 different times.
In this presentation, we will explore the European Union's AI Act draft and how businesses can prepare for its implementation.

Organizations are creating systems that impact millions of people. Potential risks come alongside its great potential. Thus, we need everyone at the table co-creating a future with AI, that is worth living in. The European Commission published a proposal for laying down harmonized rules on AI to balance innovation power and Europeans' values, fundamental rights and principles. We will discuss the key provisions of the Act, including the requirements for high-risk AI systems.

Through case studies, we will provide practical insights on how to innovate and create AI responsibly, supporting AI Act requirements while also driving business growth. A holistic approach to AI governance - organizationally and technically.

Attendees will leave with a clear understanding of the EU AI Act, its implications for their business, and actionable steps to prevent harmful implications.

Presenters: Sarah Engel

Sarah Engel is passionate about the intersection of technology and cognitive science. Her goal is the innovations that emerge when artificial and "natural" intelligence work together, evolve as a team, and create value together. As a Senior Managing Consultant and Lead for Trustworthy AI at IBM, she advises on innovation projects around artificial intelligence, especially on AI strategy, scaling AI and Trustworthy AI. Sarah has co-published a book on scaling AI successfully and the role of trust, is a speaker and trainer in this field.

She combines deep technical understanding, including her studies in cognitive science (B.Sc.) and neuroinformatics (M.Sc.), with a strategic view and practical management methods. Within her global network, Sarah Engel addresses ethical issues for establishing trustworthy AI.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/r4e3c59766c461509e65fa925c210730d