If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
On May 17th, I attended the 4th Rise of AI conference in Berlin. The conference grew from 17 participants in 2015 to 70 in 2016, 300 in 2017, and this year 700. Although many more interested people wanted to participate, the event organisators, Veronika and Fabian Westerheide, announced that the conference next year will be capped at around the same amount of people to not loose the personal touch – in my opinion, a very good decision. I had the chance to give a presentation on my own. I talked about my team's learnings with regards to the data science process, the obstacles we faced and still facing, and the concepts & solutions we have been developing to get around those issues and to make the data science process smoother.
Speaking today at Solve at MIT, Canadian Prime Minister Justin Trudeau said that the best way to deal with the accelerating pace of profound changes in the world is to step up and help to influence how those changes unfold. Solve at MIT is the annual flagship meeting of Solve, which challenges teams around the world to come up with solutions to great challenges facing society. People can be afraid of the changes being wrought by new technologies and an increasingly global and diverse society, and try to cling to past ways, "or else we can decide to shape the change," he said. "That's what's happening here at MIT, and it's also very much the mindset we take in Canada, and it's the mindset we need around the world." He added that "there are going to be tremendous shifts, so let's be part of it.
On May 1-4th, 2018, data scientists from around the world gathered in Boston, Massachusetts for the fourth annual Open Data Science Conference East. With over 4,500 attendees hailing from academia, business, nonprofit sectors, and government, the conference marked one of ODSC's largest and most diverse gatherings to date. The 4-day conference hosted over 200 speakers and presentations as well as numerous workshops on topics ranging from specific concepts in machine learning and artificial intelligence to the application of data science principles in medical research, for-profit enterprise, and humanitarian causes. Dozens of core contributors to the most prominent open source data science tools, libraries, and languages gave practical demonstrations and shared their expertise including Dr. Drew Conway, Professor Gary Marcus and Professor Alex "Sandy" Pentland. Of the hundreds of talks, a series of talks was available via live stream to the global ODSC community.
The first panel depicts a collection of talks by Doug Pontious of Amerisure titled Cultivating an Analytics-Driven Culture to Ensure Successful Insight Generation, and Jacob Ablowitz and William Hickson at dmi.io titled "What's My Data Worth?" Pontious' session discussed some best practices learned at Amerisure as they unified many different data sources into an enterprise repository. Ablowitz and Hickson's presentation covered the fundamentals of commercializing data. Bradley A. Rhine of Fulton Financial Corporation and Kristin M. Love of GSK – Not the Return on Investment: Alternatives to Measuring Your Data Integration Strategy; Peter Haynes Aiken at Data Blueprint, Ed Kelly at the State of Texas, Jeffrey Kriseman at the State of Tennessee, and Michael Leahy at the State of Maryland – Challenges Facing the "First" State CDO (Not Initially Different from the Private Sector); JG Cowper of Healthbridge – How Prescribing "Data Glasses" to Eye Surgeons Is Transforming How They See Their Industry; Michael Scofield of Loma Linda University – Good Data, Bad Information – Why the Disconnect; and, Ian Rowlands of ASG Technologies – Data for Everyone: A Changing Data World. Cathy S Normand of ExxonMobil – Making Metadata Valuable – ExxonMobil's Journey Collecting and Cataloging Metadata; Lori Hurley and Denise Janci at Allstate – Divergent Approaches to Metadata Management: Lessons Learned; Ron Klein at Klein Admonition – Deriving New Business Terms from Technical Metadata; Liju Fan of OFR – Semantic Metadata Management: Leveraging Intuitive Ontologies Developed with Best Practices; David N Plotkin of MUFG – Metadata Quality: Ignore at Your Own Risk!; and, Susan Swanson at HCSC – Leveraging the Enterprise Metadata Repository for Data Governance Oversight and Data Quality Monitoring.
This will allow you to get the gist of what's going on with minimal time commitment. By this point, learners would understand their interest levels. Continue with content focused on applying relevant knowledge as fast as possible. If you've made it through the last section and are still hungry for more knowledge, move on to broadening your horizons. Read content focused on teaching the breadth of machine learning -- building an intuition for what the algorithms are trying to accomplish (whether visual or mathematically). By this point, you will already have AWS running instances, a mathematical foundation, and an overarching view of machine learning. This is your jumping-off point to determine what you want to do. You should be able to determine your next step based on your interest, whether it's entering Kaggle competitions; doing Fast.ai part two; diving deep into the mathematics with Pattern Recognition & Machine Learning by Christopher Bishop; giving Andrew Ng's newer Deeplearning.ai
Dozens of MIT undergraduate and graduate students unveiled the results of extensive research projects during the high-energy SuperUROP Showcase and Masterworks poster sessions at MIT's Stata Center in late April. Addressing topics as diverse as gene expression, smart-home sensing, aircraft propulsion, and theater promotion, about 130 participants in the Advanced Undergraduate Research Opportunities Program -- better known as SuperUROP – presented the results of their yearlong projects in two shifts. Immediately following the SuperUROP sessions, nearly 50 master's-degree recipients and candidates from the Department of Electrical Engineering and Computer Science (EECS) shared their own research results. "It's so satisfying to see the fruition of all this hard work," said Anantha Chandrakasan, dean of the School of Engineering. "The diversity of projects is impressive, as is the level of rigor."
Not surprisingly, the topics and tools around deep learning (DL) still top the list of big trends, and top-notch research in math and computation are driving progress across vision, speech, and text. Many in the DataWorks audience are already developing cutting-edge deep learning systems, while others are just beginning to start playing with DL. Either way, I suggest attending Magnus Hyttsten's talk on getting started with TensorFlow. As you read this article, a new DL framework might already be baking and being open-sourced. It's getting harder and harder to keep track of all the new DL frameworks and their capabilities.
Google has unveiled artificial intelligence software that books appointments over the phone on behalf of users by conducting voice-based conversations on their behalf. Chief executive Sundar Pichai said that Google Duplex would launch as an "experiment" over the coming weeks. The facility was unveiled at the firm's annual IO developers conference. Experts have said that if it works it could give the firm a major advantage over rival virtual assistants. Pre-recorded demonstrations played back to the audience featured the software first booking a haircut and then making a restaurant reservation by speaking to two human employees.
I had the pleasure of attending this year's Dublin Tech Summit which took place at Dublin's Convention Centre on April 18th and April 19th. A number of famous faces were there, from the "e-celebrities" like YouTuber Casey Neistat to the geekier such as Jordan Evans of the NASA Jet Propulsion Laboratory (JPL). There was something for everyone and there was generally somebody that you had heard of giving a presentation. While Casey Neistat focused on his life growing up and how he became a YouTuber, Jordan Evans talked about the work JPL was currently undertaking and their hopes for the future. Both presentations came with a lot of "fun" attached – information laced in with some comedy.
Google has unveiled artificial intelligence software that books appointments over the phone on behalf of users by conducting voice-based conversations on their behalf. Chief executive Sundar Pichair said that Google Duplex would launch as an "experiment" over the coming weeks. The facility was unveiled at the firm's annual IO developers conference. Experts have said that if it works it could give the firm a major advantage over rival virtual assistants. Pre-recorded demonstrations played back to the audience featured the software first booking a haircut and then making a restaurant reservation by speaking to two human employees.