100%
Digital

On Nov 16, 2022, leaders & experts from government, industry, and academia will convene to discuss the challenges and opportunities of human & machine intelligence.

Is the future of AI data- or knowledge-first? Can machines learn from human experience? What are the key lessons in combining data & knowledge for life-critical applications?

00
Days
00
Hrs
00
Min
00
Sec
Gen. Stephen J. Hager

Gen. Stephen J. Hager

USCYBERCOM (Ret.)

Recently retired from active duty, Gen. Hager’s most recent posts included USCYBERCOM and the US Cyber National Mission Force, reporting to Gen. Nakasone, NSA Director. First commissioned in 1987, he was one of the few military officers with advanced engineering degrees from Silicon Valley. He has served in CENTCOM, DODIN, with deployments to Africa and Southwest Asia.

Rodney Brooks, PhD

Rodney Brooks, PhD

Robust.ai & MIT

CTO & co-founder of Robust.ai, working on harmonizing human-robot interaction. Dr. Brooks also co-founded Rethink Robotics & iRobot. He directed MIT’s CSAIL for a decade. He is a Fellow of AAAI, AAAS, ACM, IEEE, ATSE, and a member of the National Academy of Engineering. He is the Panasonic Professor of Robotics (emeritus) at MIT, and earned his PhD from Stanford.

Jeannette Wing, PhD

Jeannette Wing, PhD

Columbia University

Professor & Avanessians Director, Data Science Inst. at Columbia. Dr. Wing was CVP/Head of Microsoft Research, President’s Professor of CS at CMU, and an Asst Dir at the NSF. Her research interests are trustworthy AI, security & privacy, specification and verification, and distributed systems. Dr. Wing is a Fellow of the AAAS, ACM, IEEE. She earned her SB, SM, and PhD all from MIT.

Christopher Nguyen, PhD

Christopher Nguyen, PhD

Aitomatic

CEO of Aitomatic, a Knowledge-First ML company. He works with leading industrial companies like Panasonic and Tesla to help get fish from ocean to table, make efficient batteries for EVs, and keep cars safe. Dr. Nguyen was president of Arimo-Panasonic, eng. director at Google, and prof. of ECE at HKUST. He earned his BS from UC Berkeley, and MS & PhD from Stanford.

Hiroshi Kutsumi

Hiroshi Kutsumi

Panasonic

Director at Panasonic, leading its Global Digital & AI Technology Center. His organization provides the bridge between leading-edge technologies and customer solutions through the business divisions. A veteran exec at Panasonic, Kutsumi-san is a senior leader in the CTO organization, bringing to market innovative products from autonomous robots to AI-based predictive maintenance.

Urbashi Mitra, PhD

Urbashi Mitra, PhD

USC Viterbi

Director of the USC Information, Inference & Intelligence Group. Dr. Mitra is the USC Viterbi Gordon S. Marshall Chair in Engineering and Professor of ECE & CS. Her work includes underwater acoustic comm, wireless body-area networks for health, and sensor networks, under programs sponsored by Office of Naval Research and the NSF (Mobile Underwater Networks).

Merwan Mereby

Merwan Mereby

WESCO (née Westinghouse)

VP of Digital Platforms at WESCO (formerly Westinghouse). Mr. Mereby has led global incubation & expansion of connected products & cloud-based industrial applications. He has led acquisitions of AI companies, managed sales/distribution strategies & policies. He has identified and forged strategic partnerships and managed relationships with other Fortune 500 companies.

Chetan Gupta, PhD

Chetan Gupta, PhD

Hitachi

Head, Industrial AI at Hitachi. Dr. Gupta also co-leads the Hitachi Global AI Center of Excellence. He leads teams of data scientists, architects and developers to build fundamental horizontal technologies for Industrial AI, and solutions for verticals such as mobility, manufacturing, mining, energy management systems, and industrial analytics. He earned his MS and PhD in CS and ChemE from UIC.

Steve Jiang, PhD

Steve Jiang, PhD

UTSW Medical

Crittenden Chair Professor in Cancer Research, and Chief of Medical Physics & Engineering, Radiation Oncology, at UTSW Medical Center. Dr. Jiang leads the Medical AI & Automation (MAIA) Lab, incorporating human knowledge into deep learning for radiation therapy. He is Fellow at both the Am. Inst. for Medical & Biological Engineering, and the Am. Assoc. of Physicists in Medicine.

Jude Shavlik, PhD

Jude Shavlik, PhD

UWISC (Emer.)

Professor (Emeritus) of Computer Science and of Biostatistics & Medical Informatics at the University of Wisconsin-Madison. Dr. Shavlik is a recognized expert in the application of human knowledge to ML, pioneering such architectures as Knowledge-Based Artificial Neural Networks (KBANN). He specializes in “Learning algorithms that take advice” and ML applied to biomedical tasks.

James Cham

James Cham

Bloomberg Beta VC

Co-founding General Partner, Bloomberg Beta, a highly successful early-stage venture capital firm with a soul, based in Silicon Valley. Bloomberg Beta invests funds from a single LP: the billionaire Mayor Bloomberg. Mr. Cham is a thought leader in the future of AI and its business models. He earned his BS CS from Harvard and an MBA from the MIT Sloan School of Management.

Gopal Gupta, PhD

Gopal Gupta, PhD

UT Dallas

Erik Jonsson Chair Professor of Computer Science at UT Dallas. Co-Director of the Center for Applied AI/ML. Dr. Gupta’s research interests include Knowledge Representation, Common Sense Reasoning, Explainable Machine Learning, as well as HCI Tools for Visually Impaired & Intelligent Interfaces. He earned his BS from IIT Kanpur, and MS & PhD from UNC at Chapel Hill.

David Danks, PhD

David Danks, PhD

UC San Diego

Professor of Data Science & Philosophy, UCSD. Dr. Danks was also CMU’s LL Thurstone Professor of Philosophy & Psychology, Chief Ethicist at its Block Center for Technology & Society. His research interests are at the intersection of philosophy, cognitive science, and machine learnings. He has explored ethical, psychological, and policy issues around AI and robotics.

Chao Hu, PhD

Chao Hu, PhD

University of Connecticut

Assoc. Professor, Dept of Mechanical Engineering at the University of Connecticut. Dr. Hu’s research expertise is engineering design under uncertainty, post-design failure prognostics, with applications to Li-ion batteries, rotating machinery, and structural systems. His work on Intuitive Predictive Maintenance of Industrial and Agricultural Equipment is funded by the NSF.

Shashi Dande

Shashi Dande

WESCO

Technology Director at Wesco, where he leads teams of data scientists and ML engineers working on industrial, physical-world AI/ML, Robotics, Platform and InnovationAI. Prior, Mr. Dande was a Principal Architect at Haliburton, specializing in Robotics, Automation, AI, ML, RL. He earned his BS from the University of Madras, and an MSEE from Clarkson University.

Rayid Ghani, PhD

Rayid Ghani, PhD

CMU

Distinguished Career Professor of ML & CS at the Heinz College at CMU. He was the Chief Data Scientist for the Obama presidential campaign. He was also the Director of the Center for Data Science and Public Policy & Senior Fellow at the Harris School of Public Policy at the University of Chicago. Dr. Ghani also led the Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship.

Jeremy Coupe, PhD

Jeremy Coupe, PhD

NASA

Lead for NASA's Sustainable Aviation CDDR Demonstration, oversees the NASA/FAA Digital Mesh Technology and Applications AI/ML working group. Dr. Coupe led the development of NASA's ML Airport Surface Model and received the 2020 NASA Award for outstanding promotion and proliferation of AI/ML for aviation. He received his PhD in Computer Engineering from UC Santa Cruz.

Dharmin Parikh

Dharmin Parikh

Uber

Product Management Leader for Michelangelo & Applied AI Platform at Uber, where his emphasis has been on user Trust & Safety. Mr. Parikh has successfully built & marketed products across the compute continuum—from ML applications to big data analytics platforms to consumer electronics devices. He holds an MBA from Haas School of Business and MSEE from USC.

Hung Bui, PhD

Hung Bui, PhD

Vin AI & DeepMind

CEO of VinAI, on a mission to make machines better understand humans. He was at Google DeepMind, Adobe Research, Nuance Natural Language Understanding Lab after ten years at the AI Center, SRI International. Dr. Bui led a multi-institution research team that developed the probabilistic inference technology for the CALO project. He was assoc prof at Curtin University, Australia, & earned a PhD in CS.

Paco Nathan

Paco Nathan

Derwen AI

Managing Partner at Derwen AI. Mr. Nathan works with leading industrial companies like BASF and Siemens on European AI initiatives. He is a recognized expert in natural language processing & understanding, data science, cloud computing, with 40+ years tech academic & industry experience, ranging from Berkeley, Stanford, Bell Labs to early-stage start-ups.

Patrick Hall

Patrick Hall

BNH.ai & H2O.ai

Patrick Hall is principal scientist and partner at the AI-focused law firm BNH.AI. He also serves as visiting faculty in the Decision Sciences Department at The George Washington School of Business. Before co-founding BNH.AI, Patrick led responsible AI efforts at the machine learning software firm H2O.ai and developed general-purpose machine learning tools at SAS Institute.

Jürgen Müller

Jürgen Müller

BASF

Head of Knowledge Architecture, Global Digital Services at BASF. He leads an interdisciplinary group of experts, architects, and students that drive and develop knowledge architecture to build solutions combining natural language processing, ontologies, and knowledge graphs on large scale for improved productivity and insights. Mr. Muller holds a diploma in Mathematics from the University of Bayreuth.

Sungyong Seo, PhD

Sungyong Seo, PhD

Google Cloud AI

Dr. Seo’s research focuses on principled techniques for extracting knowledge from complex structures using it to build predictive models—merging insights both from data mining & machine learning. His work includes physics-informed machine learning, spatio-temporal learning, graph-based neural networks, time-series forecasting. He earned his MS from UMich and PhD from USC.

Phong X. Nguyen, PhD

Phong X. Nguyen, PhD

FPT Software

Chief AI Officer, FPT Software. Prior, he was an AI Researcher at Hitachi Central Research Laboratory (Japan), where he obtained 8 patents and was named among Hitachi’s Top 50 young inventors. He was also Director of Data Science and AI Division at Tokyo Techies, and Hitachi’s representative and Visiting Researcher at Mila. He earned his MS from CMU and PhD from the University of Tokyo.

Take The Stage at
K1st World 2022

Submissions due Aug 20, 2022

Are you working on new research or a groundbreaking knowledge-based approach to Machine Learning?

Are your ideas big and innovative? Are your stories or case studies impactful? Do you have awesome tips and tricks, how-to-and-whys, and best practices leveraging human knowledge for ML?

Share it with the community who understand your impact on the future of Machine Learning. Submit your proposals. We’d love to bring your work in front of the largest and only gathering of Knowledge-first ML academia and professionals.

Perks of presenting
at K1st World

A free ticket to all our sessions

Expose the Knowledge-First ML community to new tools, practices, or ideas.

Expand your technical, professional, and personal networks.

Share your discoveries with a large audience.

Grants to assist with your travel and lodging expenses are available

Choose these talk tracks

Industry Applications

R&D

Knowledge-First ML: Data Augmentation

Knowledge-First ML: Ensembling

AI Ethics + Human Control

K1st World

Physical, human-centered systems present unique challenges. Up to now, Silicon Valley has assumed a digital, computer-centered world.

Knowledge-First AI prioritizes human experience alongside data. This promotes powerful, yet safe, reliable and trustworthy ML/AI systems.

K1st World Symposium
is a hybrid event for leaders from government, industry, and academia to discuss the challenges and opportunities of combining human & machine intelligence.

Featured topics:

  • Knowledge-First and Model-Based ML Research
  • Human-Centered AI: Trust & Safety
  • Industrial Application Successes & Failures

Program Management

Ben Lorica, PhD

Program Chair

Former Chief Data Scientist, O’Reilly. Past Program Chair of Strataconf.com, TheAIconf.com, Tensorflow.world, and #SparkAISummit. Dr. Lorica hosts the Data Exchange Podcast, focused on data, machine learning and AI. He also produces Gradient Flow, named by Coursera as a Top-10 Site for Data Scientists. He earned his PhD in Mathematics from UC Santa Barbara.

Timothy Rozario, PhD

Technical Program Chair

Head of AI Solutions Engineering, Aitomatic, leading teams to build cutting-edge Industrial AI solutions that leverage domain expertise. Dr. Rozario applied ML to radiation treatment at UT Southwestern Medical. At Siemens Automation, he helped enterprises to improve automation capabilities. He earned his PhD in CS from UT Dallas.

Agenda

Tue, Nov 15

  • Arrival & Check-In

Wed, Nov 16

  • Keynote Sessions
  • Presentation Sessions
  • Dinner Social

Thu, Nov 17

  • Executive Sessions
    (invitation-only)
  • Networking Reception
  • Departure

Registration

General

Keep at the forefront of Knowledge-First machine learning technology.

Nov 16-17

Complete access to sessions & programming

  • Keynote & Presentation sessions
  • Complimentary lunch & networking
  • Cocktail social with leadership guests on departure day
  • On-demand access to all sessions post-event

$ 899 

Register

Leadership

Exclusive events with the industry's biggest names. Space limited.

Nov 16-17

Everything from our General Pass plus

  • Exclusive Executive Session participation
  • Reserved seating for keynote sessions
  • Meet & learn from some of the industry's biggest names
  • Concierge assistance for special flight & hotel rates

$ 1,799 

Register

Digital

Participate online to keep up with the latest in Knowledge-First ML, wherever you are.

Nov 16, online access

Online access to sessions & programming

  • Livestream of all Keynote & Presentation sessions
  • Online interactions and Q&A
  • On-demand access to all sessions post-event

$ 199 

Register

Sponsors

Quote Profile

"Must-attend for any AI team."

Dr. Timothy Rozario

PhD, University of Texas, AI Engineer at Aitomatic