Press Mentions

The following are a collection of press mentions about The AI Conference. If you’d like to talk to us about the conference, feel free to reach out to our press contact below.

For press inquiries, please contact:
Courtney Burton
courtney@aiconference.com
(415) 237-3519

Watch Google’s Igor Markov explain how to avoid the AI apocalypse

VentureBeat

An attack by artificial intelligence on humans, said Google software engineer and University of Michigan professor Igor Markov, would be sort of like when the Black Plague hit Europe in the 14th century, killing up to 50 percent of the population. “Virus particles were very small and there were no microscopes or notion of infectious diseases, there was no explanation, so the disease spread for many years, killed a lot of people, and at the end no one understood what happened,” he said. “This would be illustrative of what you might expect if a superintelligent AI would attack. You would not know precisely what’s going on, there would be huge problems, and you would be almost helpless.” Rather than devising technological solutions, in a recent talk about how to keep superintelligent AI from harming humans, Markov looked to lessons from ancient history. Read more »

Futurist David Brin: Get ready for the ‘first robotic empathy crisis’

VentureBeat

Science fiction author and astrophysicist David Brin believes humans have a range of options to consider when it comes to preventing artificially intelligent entities from one day ruling over us like monarchs or foreign invaders. Asimov’s Three Laws of Robotics and regulation are key, but so is being wary of manipulation. “The first robotic empathy crisis is going to happen very soon,” Brin warned. “Within three to five years we will have entities either in the physical world or online who demand human empathy, who claim to be fully intelligent and claim to be enslaved beings, enslaved artificial intelligences, and who sob and demand their rights.” Thousands upon thousands of protesters will be in the streets demanding rights for AI, Brin predicts, and those who aren’t immediately convinced will be analyzed. Read more »

17 Top AI and Machine Learning Conferences for Developers in 2017

IBM Watson

Whether you’re interested in cognitive computing, artificial intelligence or machine learning, you probably know that the fourth industrial revolution is well underway and accelerating rapidly. The speed of change presents a challenge to developers who want to stay abreast of the latest ideas and approaches. Conferences, workshops and other meetings provide opportunities to learn where the jobs and technology is headed and a chance to learn and practice the skills necessary to keep up. Here are 17 events on AI and machine learning that developers should consider attending this year (in chronological order): Read more »

Personalization and Scalable Deep Learning with MXNET

Inside Big Data

The presentation below by Alex Smola is “Personalization and Scalable Deep Learning with MXNET” from the MLconf San Francisco, 2016. User return times and movie preferences are inherently time dependent. In this talk, Alex shows how this can be accomplished efficiently using deep learning by employing an LSTM (Long Short Term Model). Moreover, he shows how to train large scale distributed parallel models using MXNet efficiently. This includes a brief overview of key components of defining networks, of optimization, and a walk through of the steps required to allocate machines, and to train a model. Read more »

Best AI and chatbot conferences in 2017

Medium

We at Standuply, while working hard on a Slack bot for Agile teams, like to have fun and make some noise. Since we are excited about AI and bots, we would like to get to know others who feel the same. So we have an idea: What if we can have a single list of conferences and their participants in AI and chatbot space? This way everybody could pick the best conference for them and engage with visitors before an event. Wouldn’t that be cool? So we’ve composed a list of AI and chatbot conferences in 2017. Read more »

Can’t Miss Artificial Intelligence Events in 2017

Square Root

Entering its 6th year, MLConf is a leader in Machine Learning and Data Science conferences based in San Francisco. Since it’s inception, it has become a series of events throughout the USA, with 4 separate conferences being held this year alone. This might have something to do with its top-notch speakers, influential guests and high-quality, innovative presentations. Organizers encourage attendees to network as much as possible. The full agenda has not yet been published. Read more »

The Machine Learning Workflow (IT Best Kept Secret Is Optimization)

Jean-François Puget, Cloud Data Architect

That was a great event. I was in very good company with top presenters from a number of prominent companies, as you can see from the speakers page. One key takeaway (not a surprise for me) is that machine learning is not all about deep learning. Sure, deep learning is used, but other techniques such as factorization machines and gradient boosted decision trees play a significant role in some very visible applications of machine learning as well. Read more »

The Machine Learning Conference

New Learning Times

The Machine Learning Conference (MLconf) gathers programmers in annual events around the country to discuss recent research and new ideas in the field. A subfield of computer science, machine learning is a type of artificial intelligence that gives computers the ability to learn when exposed to new data without being explicitly programmed. It has many uses in online activity and data science, such as in search engines, spam filtering, and autocorrect. Read more »

The 10 main takeaways from MLconf SF

Tryolabs

We recently sponsored and attended the MLconf in San Francisco. It was an awesome experience. Congratulations to all the awesome speakers, other sponsors and organizers! During the presentations, we gained a lot of insight from people who are using Machine Learning in the industry. In this post, we attempt to share some of what we learned. Read more »

Observations from MLconf in San Francisco

Spark Capital

I had the pleasure of attending my second MLconf last week. It was a packed house — you could feel the enthusiasm for machine learning spilling out of the conference hall when you walked into Hotel Nikko. Read more »

Ethics in Machine Learning – Summary

KDnuggets

Still worried about the AI apocalypse? Here we are discussion about the constraints and ethics for the machine learning algorithms to prevent it. Read more »

Disambiguating Explicit and Implicit Geographic References in Natural Language (#MLconf)

People Pattern

When people speak, both they and their utterances are situated in place and time. Our utterances reflect where we are from, where we are right now, and what we are talking about. They also reflect many other things, including personality, social status, and the topics under discussion. As hearers, we naturally incorporate locational awareness into our understanding of what we are told. That is to say, we geographically ground the meaning of natural language utterances. Read more »

The Good, The Bad, and The Deep Algorithms… at MLconf Seattle, May 20

KDnuggets

MLconf in Seattle is a week away and we are getting a glimpse of what is going to be presented. Speakers were kind enough to give us interviews about different topics in machine learning. Ethics in machine learning is the hottest conversation right now. Recently, Igor Markov, Evan Estola and Florian Tramèr answered some very sensitive and provocative questions and suggest ways to fix some of the problems in ethics in ML. Ted Wilke, an MLconf veteran, will be the keynote speaker. Apparently, his team at Intel labs had a good year in research and he is going to fill us in on their findings about the capacity of deep learning. I wonder what Intel is baking over there, let’s see if he is going to reveal to us more about their plans! Read more »

How To Attract Women To Your Tech Event

Forbes

If you’re planning a tech event today, you’d best be thinking about including women on the agenda. You ought to do it because diverse groups of people bring diverse viewpoints to the conversation, adding depth and breadth that helps us better understand and solve the problems we face. If you can’t appreciate that, then just do it to avoid becoming a laughing stock all over social media. Read more »

Women Prominent In Data Analytics But Not On Conference Agendas

Forbes

More women are statisticians than men. According to 2015 census data, roughly 53% of statisticians are female. That’s not a new development; look back 10 or 15 years, most statisticians were women in 2001, too. Read more »

Sandhya Prabhakaran MLConf 2016 Event Summary

WiMLDS

Firstly, I would like to thank MLConf and NYC Women in Machine Learning & Data Science for giving me the opportunity to attending this informative, educational and cutting-edge conference. Read more »

Reflections on MLconf and the AI Hype Cycle

Spark Capital

Here’s the simple truth: many of the smartest people in the world are throwing every ounce of their brain power into creating the building blocks for a machine learning software ecosystem. There have been some success stories so far, as well as some failures. While it’s still early, I don’t think it’s ever a winning proposition to bet against humanity’s ability to come together to solve big, technical problems. Read more »

Ethics In Machine Learning: What we learned from Tay chatbot fiasco?

KDnuggets

s Microsoft chatbot Tay showed, Machine Learning brings us into a new world where our views on ethics and political correctness will be challenged. ML learns from us. In both good and bad ways, it reflects what we really are. Read more »

MLconf Industry Impact Student Research Award

The University of Edinburgh

The CoCoA [NIPS 2014] / CoCoA+ [ICML 2015] distributed optimization algorithm developed in a duo of papers with two co-authors from Edinburgh (Martin Takáč, Peter Richtarik) has won the MLconf Industry Impact Student Research Award. The award goes to our coauthor Virginia Smith (UC Berkeley). Read more »

From mind reading to cat detection: Top 5 talks at MLconf 2015

Idibon

The Machine Learning Conference MLconf SF 2015 took place at the grand Julia Morgan Ballroom. It was a full house and brought together data science experts from all over the industry. The major theme of many of the talks was deep learning and scalable data science/machine learning pipelines. Read more »

Numenta Anomaly Benchmark Evaluates Anomaly Detection Techniques for Real-time, Streaming Data

Business Wire

NAB will be publicly unveiled on November 13 during MLconf in San Francisco in a presentation by Numenta Research VP Subutai Ahmad, “Real-time Anomaly Detection for Real-time Data Needs.” Read more »

Irina Rish, Research Staff, IBM T.J. Watson Research Center at MLconf SF - 11/13/15

Malaysia News

Learning About Brain: Sparse Modeling and Beyond: Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of finding a relatively small subset of ”important” variables in high-dimensional datasets. Read more »

Everything You Need to Know about Data Science Conference

Galvanize

MLconf is a single day, single track event, devoted to the Machine Learning and Data Science community in major cities, agnostic of any tool, platform or company. MLconf events host speakers from various industries, research and universities to discuss recent research and application of Machine Learning methodologies and practices. MLconf has a “no sales pitch” motto; the organizers carefully curate content to help members of the community share what’s being used now. Read more »

Pre-MLconf Lightening Talks and Drinks at Galvanize

CityPulse

The team at MLconf- The Machine Learning Conference, is hosting a meetup on Thursday, 10/22/15, from 6:00-8:00pm, in the Cafe at the San Francisco Galvanize campus, at 44 Tehama St. | San Francisco, CA 94105. Check out their website at www.galvanize.com The meetup will host a few lightening talks from a small selection of MLconf speakers from the upcoming MLconf in SF on 11/13/15. Drinks and snacks will be provided! We'll be meeting in the Cafe, just right of the entrance, at the San Francisco Galvanize campus:44 Tehama St. San Francisco, CA 94105 Read more »

MLConf Atlanta 2015 Keynote: Fun with Mind Reading

MSDN Blogs

I spoke on my lie detector work. Using the EPOC+ headset from Emotiv, I captured EEG (brainwave) data from people when they were telling the truth and when they were lying. I fed this labeled data into Azure Machine Learning to create a classifier to perform lie detection. Read more »

MLconf Industry Impact Student Research Award Sponsored by Google

KDnuggets

MLconf (The Machine Learning Conference) is now hosting an award program called the "MLconf Industry Impact Student Research Award" Sponsored by Google! Their event committee is looking to award a student whose research is deemed to be useful for solving the problems currently faced in industry. Candidates for the event are current PhD students or recent graduates (less than a year since their thesis defense) in US or foreign universities. Read more »

Report – MLconf: what industry leaders say about machine learning

KDnuggets

MLconf hosted in 4 different cities, NYC, Seattle, Atlanta and San Francisco with speakers from big, established companies and from emerging startups, bringing more ideas and experience into the game. Read more »

Google searches done a huge turning

Sanoma Media Finland Oy / Financial Messages, March 30, 2015

Google searches are constantly changing, it knows every observant internet user. In recent years, more and more of the search results is framed by the different choice of the PSAs. How does the search engine giant to show the range of these facts? One keyword is machine learning, says Google's Research Director Corinna Cortes . Danish Cortes spoke about Google's use of the methods of last Friday in New York, machine learning, focusing on Machine Learning 2015 conference. Read more »

There are many use cases for graph databases and analytics

O'Reilly Media, July 9, 2014

The rise of sensors and connected devices will lead to applications that draw from network/graph data management and analytics. As the number of devices surpasses the number of people — Cisco estimates 50 billion connected devices by 2020 — one can imagine applications that depend on data stored in graphs with many more nodes and edges than the ones currently maintained by social media companies. Read more »

MLConf NYC 2014 Highlights

InfoQ, April 17, 2014

MLConf was going strong on Friday April 11 in New York City. This was the first ever MLConf happening in NYC, and it was met with a resounding success, so much that it quickly sold out. The conference was a full day packed with sessions around Machine Learning, and a good portion of the talks also talked about Big Data topics and how to apply this machine intelligence at very large scale. This is another good indication that the field of Data Science is stronger than ever, and that today’s data scientists need a mix of two skills: traditional research skills with a background in mathematics and statistics, and more engineering skills to be able to work with the most popular Big Data frameworks… Read more »

Speaker Alert: Todd Merrill, HireIQ CTO to Speak at MLConf

Hire IQ, April 8, 2014

HireIQ Solutions, the innovative leader in predictive analytics and virtual talent acquisition solutions for customer-facing organizations, today announced that Todd Merrill, the company’s chief technology officer, is presenting at the upcoming MLConf. Todd’s presentation will introduce the company’s approach to improving the employee selection process, especially for customer-facing positions, by predicting a job candidate’s likelihood of retention and on-the-job performance. MLConf 2014 brings together many of the leading practitioners of advanced machine learning, big data and predictive analytics platforms, algorithms and applications for a one-day intensive networking session. Delegates will share best practices and hear about the latest innovations in machine learning. The program includes speakers from other leading machine learning and big data practitioners such as Google, Intel, Yahoo!, and Netflix. Read more »

MLconf NYC 2014

CMSWire

Machine learning and big data processing are ubiquitous in the operations of every modern company. New machine learning algorithms platforms and applications have emerged in industry and academia. Come and learn about the most fascinating advances in ML from the experts. The head of Google Research NY, Corinna Cortes will present the largest scale ML deployment, while Claudia Perlich a serial KDD cup champion will discuss her experience in practical machine learning. We’ll host a series of talks on bleeding-edge ML-platforms, like: H2o, Logicblox, Cloudera and Ayasdi. Samantha Kleinberg will present her new interesting results with inference from uncertain data in diabetes using continuous sensor data with a tie in to google glass. Animashree Anandkumar will introduce you to the world of tensors, teaching you how you to apply the use of tensors to solving machine learning problems. Join us on Friday, April 11th in New York City for a full-day conference on Machine Learning. We’ll have Presentations from Google, Yahoo, Cloudera, Ayasdi, 0xdata, and many more Read more »

MLConf 2013 will be held next week in NYC

MasterStreet

MLconf NYC 2014 Join us on Friday, April 11th in New York City for a full-day conference on Machine Learning. We’ll have Presentations from Google, Cloudera, Ayasdi, 0xdata, and many more. Follow @MLconf for updates, discounts and free tickets! MLconf is a meeting place for both academia and industry to discuss upcoming challenges of large scale machine learning and solution methods. Presentations from: Corinna Cortes, Head of Research, Google Josh Wills, Director of Data Science, Cloudera Ted Willke,Principal Engineer and GM of the Graph Analytics Operation, Intel Labs Edo Liberty, Research Scientist, Yahoo Justin Basilico, Senior Researcher/Engineer in Recommendation Systems at Netflix Claudia Perlich, Chief Scientist, Dstillery Pek Lum, Chief Data Scientist, Ayasdi Shan Shan Huang, VP Product Management, LogicBlox, Inc. Yael Elmatad, Data Scientist at Tapad Irene Lang, Math Hacker, 0xdata Anqi Fu, Data Scientist, 0xdata Samantha Kleinberg, Computer Science department, Stevens Institute of Technology Animashree Anandkumar, Electrical Engineering and Computer Science Dept, UC Irvine

MLConf 2013 Roundup

ShareThrough, November 22, 2013

This past Friday 11/15, Sharethrough Engineering attended the 2013 MLConf here in San Francisco where Netflix, Twitter, Yelp and others presented on large-scale ML trends and challenges. Read more »

MLconf 2013: Organizing Big Data with the Crowd

CrowdFlower, November 11, 2013

The Machine Learning Conference (MLconf) is this Friday, Nov. 15, in San Francisco. MLconf is a meeting place for both academia and industry to discuss upcoming challenges of large-scale machine learning and solution methods. This year will highlight the exploding machine learning field and those at the forefront of its design and application. The conference will include topics spanning the worlds of entertainment, education, technology, communication and finance. CrowdFlower’s CEO, Lukas Biewald, is kicking off the day with a talk called, “Organizing Big Data with the Crowd,” that will discus how CrowdFlower is effectively leveraging the human intelligence of the crowd to solve problems related to collecting, categorizing and labeling vast amounts of data, resulting in better training of machine learning models and improved system performance. Read more »

MLConf 2013 will be held next week in SF

ComputerML, November 10, 2013

is a meeting place for both academia and industry to discuss upcoming challenges of large scale machine learning and solution methods. The conference will include presentations on Deep Learning, Recommender Systems, Collaborative Filtering and Matrix Factorization.