Algorithm Conference
February 18 - 20, 2021
Dallas, Texas
Algorithm Conference will bring you 3 days of high-level presentations and workshops from academics, business and tech professionals working in the fields of big data, artificial intelligence, and blockchain technologies.
Due to the covid-19 pandemic and the patchwork response to it in the US, Algorithm Conference has been postponed until Feb. 2021. It just doesn’t make sense to hold an in-person event this year.
General information
Algorithms have found their way into practically every aspect of our lives. Wheree’er you look, howe’er you range, algorithms are hard to miss. Increasingly being deployed to guide you along.
Algorithm Conference will bring you 3 days of high-level workshops and presentations that show how algorithms have been shaping and will continue to shape every aspect of our lives. Special consideration will be given to sessions that highlight innovative technical and commercial developments in big data, artificial intelligence and blockchain technologies, their ethical and privacy implications, and how they impact and are impacted by public policies.
Researchers from the academia, developers and technical managers from startups and established companies will be on hand to share insights on the current state of development in big data, artificial intelligence and blockchain technologies, and their future trajectories. Those overseeing the rollout of these technologies on the management side and people involved in influencing and advising policy makers will also be on hand to share their insights.
Algorithm Conference will take place at the Thompson Conference Center and the LBJ Presidential Library on the University of Texas at Austin campus.
Workshops: Feb. 18, 2021 </> Conference: Feb. 19 – 20, 2021
Topics
Topics for workshops and presentations will be drawn from the following broad areas.
Big data
Sessions on how organizations store, search, rank and extract actionable info from data in all its forms - big, smart, streaming, structured/unstructured, and on all platforms - Hadoop, Spark, NoSQL, IoT.
Artificial intelligence
Sessions all its sub-discipline - machine learning, deep learning, neural networks, facial recognition, computer vision, NLP, robotics, autonomous driving, and neuroevolution. Also on AI and privacy; automation and universal basic income.
Blockchain
Sessions on real uses of blockchain technology in healthcare, travel, finance, global payment systems, etc. On digital currency and on popular driving themes behind blockchain technology - cryptocurrencies and stablecoins.
Workshops
Not only will you get to listen to expert speakers, but you’ll also have opportunities for hands-on learning from some of the best trainers in the world. The first confirmed workshop will be conducted by Particle, the developer of the leading IoT platform in the world.
Visit the following link(s) for workshop info.
1. Particle IoT workshop: Exploring machine learning on the Edge
2. Twitter data/ML workshop: How to curate quality datasets for machine learning
Recommended activities for developers
How to curate quality datasets for machine learning
Thursday, July 16, 2020 (8 a.m. - 10 a.m.)
Exploring machine learning on the edge
Thursday, July 16, 2020 (1:30 p.m. - 5 p.m.)
General conference sessions
Friday, July 17 - Saturday, July 18, 2020
Preliminary schedule
Register
Registration for this workshop and for the conference itself is now open. You may register for one or both. The workshop has a limited number of tickets, so hurry and register if you want to guarantee yourself a seat. To reserve your ticket(s), click on that big red button.
Featured speakers
Robert J. Marks, PhD
Director, Walter Bradley Center for Natural & AI
Robert J. Marks is the Director of the Walter Bradley Center for Natural and Artificial Intelligence; a Distinguished Professor of Electrical and Computer Engineering, Baylor University; and a Fellow of both IEEE and the Optical Society of America. Marks served as editor-in-chief for the IEEE Transactions on Neural Networks.
His research has been supported/funded by the Army Research Lab, the Office of Naval Research, the Naval Surface Warfare Center, the Army Research Office, NASA, JPL, NIH, NSF, Raytheon, and Boeing.
He is co-author of Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks, Introduction to Evolutionary Informatics, and the author of The Case for Killer Robots: Why America’s Military Needs to Continue Development of Lethal AI.
Captain Michael Kanaan
Director of Operations, US Air Force
In a previous assignment, Michael Kanaan was the first Chairperson of Artificial Intelligence, HQ U.S. Air Force, where he authored and guided the research, development, and implementation strategies for AI technology and machine learning activities across its global operations. Prior to that, he was the Enterprise Lead for Artificial Intelligence, HQ U.S. Air Force ISR & Cyber Effects Operations. He’s now the Director of Operations, U.S. Air Force/MIT Artificial Intelligence.
In recognition of his fast-rising career and broad influence, he was named to the Forbes “30 Under 30” List and has received numerous other awards and prestigious honors — including the US Government’s Arthur S. Flemming Award. His highly anticipated book, T-Minus AI: Humanity’s Countdown to Artificial Intelligence and the New Pursuit of Global Power, is due this August.
Stephen Thaler, PhD
President/CEO, Imagination Engines, Inc.
Dr Thaler is the author of more than two dozen patents on generative AI. DABUS, his newest patent, is the focus of a global legal effort to credit AIs as inventors of the IP they create, and the basis for a WSJ article archived here.
A 15-year veteran of aerospace giant McDonnell Douglas, his work for the military includes novel electro-optical materials discovery as well as brilliant robotic control systems capable of self-originating Machiavellian tactics on the battlefield.
He has authored numerous papers based upon his patented neural network paradigms to model cognition, consciousness, and sentience. In the first of these works, Dr Thaler offered highly controversial models of hallucination within the traumatized brain.
More recently he has suggested a compelling perspective on the close relationship between psychopathologies and creativity. Now, he has received a patent for a neural network methodology that allows scale up of connectionist architectures to trillions of computational neurons in order to create free-thinking, sentient synthetic entities.
AI as an inventor?
Should an AI system be recognized as an inventor? That’s what an international team of patent attorneys are trying to get patent authorities around the world to decide. The generative AI at the center of that effort was written by Dr Thaler. Click the button below to learn more.
The military & lethal AI
Can an AI system be sentient, creative and capable of understanding? Does the (US) military have an obligation to develop weapons systems with AI capabilities? Those questions are at the core of a keynote by Prof Marks. Click the button below to learn more.
Speakers
Joel Lehman, PhD
Sr. Research Scientist, Uber AI
Co-inventor of the novelty search evolutionary algorithm. I head AI safety research at Uber AI. In my presentation, I’ll highlight current research and future challenges in AI safety, including the challenge of making machines with ethical sensibilities.
Paul McLachlan, PhD
Head of Data Science, Ericsson
Principal Data Scientist, Global Artificial Intelligence Accelerator, Ericsson. 5G technology I develop uses AI to empower the next generation of interactive media content. My products use 5G and edge computing to protect users’ privacy. Those will be part of my presentation.
Anastasia Marchenkova
Quantum Researcher, Bleximo
Anastasia was a quantum researcher at Georgia Tech Quantum Optics & Quantum Telecommunications Lab, and at the University of Maryland Joint Quantum Institute. Founder of CourseShark. Currently working on superconducting qubit quantum processors at Bleximo.
Riccardo Biasini
CEO, comma.ai
Ex-Tesla. I contributed to the development of the openpilot project. I’ll be making the case for autonomous or AI-augmented mass transit systems instead of robotaxis or personal self-driving cars during my talk.
Karl Weinmeister
Cloud AI Advocacy Manager, Google
Karl leads a global team of data science and engineering experts who engage with users at events, build impactful content, and influence Google product strategy. He’s based in Austin, Texas.
Anais Dotis-Georgiou
Developer Advocate, InfluxData
A Developer Advocate for InfluxData known for making data beautiful using data analytics, AI, and machine learning. She collects data, does a bit of research, exploration, and engineering to translate the data into something of function, value, and beauty.
Ramin Keene
Founder, Fuzzbox.io
Ramin is the founder of fuzzbox.io, which brings together machine learning, A/B testing, progressive delivery, and chaos engineering to help companies explore the unknowns of their applications, uncover risk, and manage complexity safely.
Sneha Gupta
Data Scientist, Walmart Labs
Sneha is an artificial intelligence and machine learning enthusiast, and a Data Scientist at Walmart Labs and working on very interesting recommender projects for personalizing Walmart homepage.
Karthik Ramasamy
Machine Learning Engineer, Google
ML engineer in Google Cloud AI team working on TensorFlow for enterprise efforts. Previously part of ML platform team at Uber self driving team, and before that led a team of data scientists in Uber’s risk team.
Kobi Eisenkraft
Malware Analyst, Check Point
Software developer, cyber security expert, and malware analyst, with more than a decade experience in malware research and protection, and threat prevention. My talk will focus on how bitcoin blockchain is used as part of a malware’s infrastructure.
Jigyasa Grover
Machine Learning Engineer, Twitter
2017 Red Hat Women in OS Academic Award Winner. Work experience at the San Diego Supercomputer Center; National Research Council, Canada; and Institute of Research & Development, France. My talk will focus on an informal taxonomy of ML algorithms.
Massimo Ruffolo
Founder, CEO/CTO, Altilia
Artificial/augmented intelligence researcher at the National Research Council and adjunct professor at University of Calabria, Italy. My presentation and workshop will show that companies can go all in on AI without the aid of expensive AI/ML engineers.
Brandon Satrom
Sr. Manager, Developer Relations, Particle
Author of four books, including the O’Reilly series book – Building Polyfills: Web Platform APIs for the Present and Future. Performing inferencing on edge devices will be huge in 2020. That will form part of my presentation and workshop.
Rishabh Misra
Machine Learning Engineer, Twitter
Ranked 23 as a dataset contributor on the Kaggle platform. My dataset on Sarcasm Detection was used in Deeplearning.ai’s NLP in TensorFlow course on Coursera. I’ll be teaching How to create quality datasets for machine learning during this conference.
Massimo Ruffolo
Founder, CEO/CTO, Altilia
Artificial/augmented intelligence researcher at the National Research Council and adjunct professor at University of Calabria, Italy. My presentation and workshop will show that companies can go all in on AI without the aid of expensive AI/ML engineers.
All speakers & presentations
You may view a complete list of confirmed speakers and the abstract of their presentations by clicking that big, red button.
Participating companies
Become a sponsor or exhibitor
If you would like to sponsor Algorithm Conference 2020 or have an exhibit space during the conference, click that big red button to email us. We’ll respond pronto!
Media partners
Venue
Algorithm Conference 2020 will take place at the Thompson Conference Center and the LBJ Presidential Library, both located on the campus of the University of Texas at Austin, a Public Ivy university.
All workshops will be at the Thompson Conference Center, located at 2405 Robert Dedman Dr., Austin, Texas 78712. All plenary conference sessions will be in the LBJ Auditorium of the LBJ Presidential Library, located at 2313 Red River St, Austin, Texas. The auditorium has a seating capacity of just under 1,000.
Hotels & places to see
Some of the best hotels in the world have a presence near the University of Texas at Austin. For starters, the AT&T Hotel and Conference Center is on the campus grounds. You’ll find a list of other nearby hotels.
Smack at the southern end of central Austin, the University of Texas at Austin is home to seven museums and seventeen libraries, including the LBJ Presidential Library and Museum, where you can learn all about Lyndon Baines Johnson, the 36th president of the United States. There is also the Blanton Museum of Art, one of the largest university art museums in the US.
Away from the campus, downtown Austin and the Texas State Capitol (Austin is the capital of Texas) are just minutes away. And being close to downtown Austin means you’ll have your pick of things to do, like the Congress Bat Bridge Kayak Tour and the Upstairs Circus. Want to drive around a professional-grade track in some of the best vehicles Audi has, you’ll want to visit the Audi Driving Experience at the Circuit of the Americas.
So whether you chose to arrive early in the week of the conference, or stay for a few days afterwards, your stay in Austin can be as fun as you want it to be.
2019 event links
Algorithm Conference was Big Data & AI Conference in 2019. You may visit the now archived website.
Video recordings of most of the presentations are available in this YouTube playlist.
Most of the presentations slides from that 2019 event are available at this Speaker Deck account.
Be part of the Algorithm Conference experience!
Austin is the state capital of Texas and also the tech capital of the state. It’s the home for major tech conferences in Texas.
Attend
Austin in the summer is warm and buzzing with activity. No better city to spend your summer in the southern US. And no better conference to attend next summer than Algorithm Conference.
Speak
Algorithm Conference is the event you want to get on stage and represent your company before some of the best minds active in the areas of big data, articial intelligence and blockchain technologies.
Exhibit/sponsor
Becoming a sponsor (guarantees speaking oportunity) or exhibitor gives you multiple opportunities to showcase your brand and services before a dedicated and influential audience.
Partner
Media and news outlets (yes, podcasts included!), industry associations and professionals organizations, special discounts for your members if you link with us as partner.
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al-Khwārizmī -> algoritmi -> algorithm