How much would you pay for a ride & AlphaGo’s upcoming match. https://cognitionx.com/news-briefing/
Today, Uber announces it will use machine-learning techniques to estimate how much groups of customers are willing to shell out for a ride. Uber calculates riders’ propensity for paying a higher price for a particular route at a certain time of day. For instance, someone traveling from a wealthy neighborhood to another spot might be asked to pay more than another person heading to a poorer part of town, even if demand, traffic and distance are the same.
Come to CogX London 2017 (Jun 20-21) to learn how data is transforming businesses and how companies are working hard to comply with the latest data privacy regulations like GDPR. Learn from experts like Ian West (VP Analytics & Information Management, Cognizant), Roberto Maranca (Chief Data Officer, Lloyd’s Bank), Irene Ng (Chairman and Chief Economist of HAT Data Exchange) and Dr Sandra Wachter (Researcher in Data Ethics focusing on the Legal and Ethics of AI, Oxford University).
Tabitha UntilTheBoyBotsTakeOver Goldstaub
28 days till CogX. Be there or be intelligence artificial.
Uber started using data science to predict how much we are willing to pay for a ride. They call this new system “route-based pricing” and it is a significant shift from the current model which is based on mileage, time and demand.
Uber drivers have been complaining that the gap between the fare a rider pays and what the driver receives is getting wider. After months of unsatisfying answers, Uber is providing an explanation: It’s charging some passengers more because it needs the extra
cash. How will customers and driver react to these changes in business model?
Last year, DeepMind’s AI AlphaGo scored a momentous victory over Lee Se-dol, one of the world’s best Go players, achieving something many thought impossible. Is AlphaGo truly better than the best humanity has to offer? The debate will be settled this week when AlphaGo takes on the reigning world Go champion Ke Jie, who laid down the gauntlet last year after claiming he could beat the AI.
Interested in AI and startups? Hear more from experts who will be debating the future of AI’s impact on jobs and the economy at The Europas Conference & Awards 2017 on June 13 in London. The Europas is a one-day conference with awesome speakers and breakouts. This must-attend event will feature speakers, panels and breakout sessions drawn from Europe’s hottest tech startup founders and investors. More details in the agenda here. We are excited to announce that briefing subscribers of CognitionX can get a 15% discount on the ticket price using this link. Grab your ticket now!
Seldon deploy is a new enterprise product that will be entering closed beta this summer. Seldon Deploy helps data science teams put machine learning models into production. It’s designed to streamline the data science workflow, with audit trails, advanced experiments, continuous integration and deployment, rolling updates, scaling, model explanations, and more — all served through a delicious UI. Do you want to gain early access to Seldon Deploy? Sign up to their closed beta to provide feedback to help shape the product before launch.
In this (slightly speculative!) article, The Next Platform takes a deep dive into what they believe Google’s second-generation TensorFlow Processing Unit (TPU2) might be capable of. Google’s original announcement was rather light in detail, so in this article the author digs into the photos and provides his thoughts based on the few bits of detail Google did provide.
Article to share with your less data savvy friends
Although journalists tend to enjoy writing about how AI is going to take over the world and rule us, there is some good news from Forbes this week on the impact Artificial Intelligence will have on older generations.
Randy Rieland, in interview with Richard Adler, Research Fellow at the Institute for the Future in Palo Alto, California, discusses the thought that despite the initial reticence of older generations to adopt new technology, AI will provide more independence and freedom in old age and allow us to stay in our homes for longer. Not only by having a handy robot to remind you to take your medicine or one that can predict problems, machines are now learning to diagnose diseases and may even learn to back up your memory. Although perhaps still a way off, the potential benefits of a human memory ‘backup’ for those suffering with dementia or schizophrenia could be monumental.
The relatively new field of AI curiosity (a field pioneered by Pierre-Yves Oudeyer) has been incorporated by researchers in UC Berkeley to successfully demonstrate the benefits of this approach and show how it may be crucial to develop better AI. In contrast to reinforcement learning, which was the technique behind AlphaGo, curiosity driven AI generates positive signals from behaviour relative to an internal score. You can read their paper here.
A great, simple and quick resource to give you an insight into 6 ways AI is being used right now. From cryptocurrencies to the link between gaming and the AI there’s something for everyone. Well worth a look.