Following is a tentative agenda for the evening: Tentative Agenda: 6:15 pm - 6:45 pm: Arrivals, eat/drink and network 6:50 pm - 7:20: Overview on PyDatatable by Ana Castro 7:20 - 7:50: Snack That Data by Aman Mathur from SnackNation 7:50 - 8:40: Panel Discussion with experts from Industry and Academia Experts in the panel, - Haichun Chen (Industry - Netflix) - Dr. Gourab Mukherjee (Academia - USC) - Ryan Johnson (Industry - GoGurdian) - SnackNation participation (Industry) 8:40pm - 8:45pm: Surprise raffle 8:45pm - 9 pm: Networking Location: snacknation (https://www.snacknation.com) Speaker Bios: Ana Castro Ana is a Data Science Evangelists for H2O.ai. Before H2O.ai, she worked as an Evangelist for Hortonworks(Cloudera). She holds a B.S. in Electrical Engineering and is currently pursuing a Master in Statistics with a concentration in Machine Learning at San Jose State University. When not at H2O.ai or school, she can be found in Fresno working with farmers to identify ML solutions for their agricultural challenges.

No, I'm not trying to be a smart aleck. It's just that technology like Picnic's - and other robotics companies - will enable American companies, from pizza shops to manufacturers, to make things almost as inexpensively as their counterparts in India or China. This not only solves the big headache of actually finding people to do this work, but it will also result in cheaper prices, a lower cost of entry for startups and more opportunities for American companies to compete worldwide and grow. When they grow, they will hire even more people to do the kind of work that machines will never be able to do.

Amazon (NasdaqGS:AMZN) has made the Alexa Echo available in Brazil. The mega popular virtual assistant chatbot is now able to speak Brazilian Portuguese. "Echo Dot and Echo Show 5 are available for pre-order in Brazil today and will begin shipping to customers starting next week, while Amazon Echo will be available to customers in November,'' according to the press release. "We're excited to introduce Alexa to customers in Brazil, with a custom-built experience that honors Brazil's language and unique culture. Customers across Brazil will be able to ask for their favorite music, control their smart home, and enjoy skills from hundreds of customer-favorite Brazilian brands including Show do Milhão, Porta dos Fundos, UOL Esporte, iFood, Leite Ninho, Cinemark, and more.

Ford's transition from automaker to mobility company took another step forward in a small office space in downtown Ann Arbor this week. Instead of a new car or fancy self-driving tech update, Ford's big news was, basically, an AI-powered database. Standing next to a big 3D model of the city, Ford's vice president of mobility, marketing and growth, Brett Wheatley, announced the Ford City Insights platform. It uses AI and data from various sources--among them traffic cameras, parking garages, and police reports--to analyze everything from where collisions are most likely to happen to which roads would be best served by microtransit shuttles or scooters. The City Insights platform is made up of four main sectors: safety, parking, transit, and a 3D model that makes sense of the other three.

The rapid rise of autonomous products reminds me of my days as Director and Technical Fellow at Motorola during the heyday of the wireless revolution. Years earlier, no one could've predicted that millions of cellphones would quickly saturate the market by the early 2000s, causing a scramble to identify viable applications to keep wireless alive. It's hard to imagine a time when widespread wireless wasn't a sure bet, right? Yet there I was in countless meetings brainstorming ideas to promote wireless acceptance. I remember visiting a Chicago-area hospital where each room was overrun with cables. Answers to the recurring question of "How do we get rid of all these wires?" were met with a healthy dose of optimism and skepticism.

Machine learning and artificial intelligence are increasingly being used in materials science research. For example, MIT associate professor of materials science and engineering Juejun "JJ" Hu developed an algorithm that enhances the performance of a chip-based spectrometer, and Atlantic Richfield Associate Professor of Energy Studies Elsa A. Olivetti built an artificial-intelligence system that scours through scientific papers to deduce materials science "recipes." These and other MIT professors, as well as keynote speaker Brian Storey, Toyota Research Institute's director of accelerated materials design and discovery, will discuss insights and breakthroughs in their research using machine learning at the MIT Materials Research Laboratory's annual Materials Day Symposium on Wednesday, Oct. 9 in Kresge Auditorium. Associate Professor Hu recently explained what led to his breakthrough spectrometer, and why he is optimistic that machine learning and artificial intelligence are becoming an everyday tool in materials research. Q: Your spectrometer work in particular made use of machine learning techniques.

China and Japan have unleashed a fleet of delivery robots for a test program in Bejing and Shenzhen. Food delivery giant Meituan-Dianping has partnered with 10 hotels and office buildings to test a new mobile delivery robot to carry food deliveries to students and office workers at their desks or dorm rooms. Unlike other delivery bots, these variants are designed to navigate both elevators and stairs to bring the order directly to your door -- and they do so with a'smile" However, the program still relies on a human delivery person to bring the food to the office building lobby or carry it onto the university campus, but once there the robot's take over. Meituan-Dianping has targeted offices and universities in part because their layouts are easier to navigate than bustling city centers. The robots can navigate both elevators and stairs.

The introduction of artificial intelligence into everyday life is raising new concerns over how these revolutionary new technologies will be used to help or potentially hurt humanity. Bloomberg News reported that France is set to become the first European country to implement facial recognition technology to create a digital identity for its citizens. In the summer of 2018, 2 million people took to the streets of Hong Kong to protest against authoritarian Chinese rule. The demonstrators knocked down a tower equipped with facial recognition software that used A.I. cameras to track and identify anyone participating in the protest. In 2019, San Francisco became the first big American city to ban the use of facial recognition technology.

Say you're a pharmaceutical company. You've figured out that a novel molecule could be effective in treating an illness -- but that molecule only exists in a simulation. How do you actually make it, and enough of it, to test in the real world? Molecule.one is a computational chemistry platform that helps bring theoretical substances to life, and it is debuting its product onstage at Disrupt SF Startup Battlefield. Computational chemistry is, believe it or not, something of a hot ticket right now.

This book was designed around major ideas and methods that are directly relevant to machine learning algorithms. There are a lot of things you could learn about probability, from theory to abstract concepts to APIs. My goal is to take you straight to developing an intuition for the elements you must understand with laser-focused tutorials. I designed the tutorials to focus on how to get things done with probability. They give you the tools to both rapidly understand and apply each technique or operation. Each tutorial is designed to take you less than one hour to read through and complete, excluding the extensions and further reading. You can choose to work through the lessons one per day, one per week, or at your own pace. I think momentum is critically important, and this book is intended to be read and used, not to sit idle. I would recommend picking a schedule and sticking to it.