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Changing Customer Relations with AI: An Interview with Re:Infer

#artificialintelligence

Two years ago we started to get very excited about recent advances in neural networks applied to problems in natural language understanding and we were confident this was just the tip of the iceberg. We created re:infer to apply these new Neuro-linguistic programming (NLP) techniques to help businesses better understand and interact with their customer base. Who are the main people involved in Re:Infer? To help our clients to understand their customers needs and make responding to those needs as frictionless and effortless as possible. Re:Infer is all about engaging with customers, either by categorising open source feedback, survey forms, and with your conversational AI tool.


ACM's 2018 General Election

Communications of the ACM

The ACM constitution provides that our Association hold a general election in the even-numbered years for the positions of President, Vice President, Secretary/Treasurer, and Members-at-Large. Biographical information and statements of the candidates appear on the following pages (candidates' names appear in random order). In addition to the election of ACM's officers--President, Vice President, Secretary/Treasurer--two Members-at-Large will be elected to serve on ACM Council. Please refer to the instructions posted at https://www.esc-vote.com/acm2018. To access the secure voting site, you will need to enter your email address (the email address associated with your ACM member record) and your unique PIN provided by Election Services Co. Should you wish to vote by paper ballot please contact Election Services Co. to request a paper copy of the ballot and follow the postal mail ballot procedures: [email protected] or 1-866-720-4357. Please return your ballot in the enclosed envelope, which must be signed by you on the outside in the space provided. The signed ballot envelope may be inserted into a separate envelope for mailing if you prefer this method. All ballots must be received by no later than 16:00 UTC on 24 May 2018. Validation by the Tellers Committee will take place at 14:00 UTC on 29 May 2018. Jack Davidson's research interests include compilers, computer architecture, system software, embedded systems, computer security, and computer science education. He is co-author of two introductory textbooks: C Program Design: An Introduction to Object-Oriented Programming and Java 5.0 Program Design: An Introduction to Programming and Object-oriented Design. Professionally, he has helped organize many conferences across several fields.


Robot Launch 2018 in full swing – like Tennibot!

Robohub

With the Robot Launch 2018 competition in full swing – deadline May 15 for entries wanting to compete on stage in Brisbane at ICRA 2018 – we thought it was time to look at last years' Robot Launch finalists. And a very successful bunch they are too! Tennibot won the CES 2018 Innovation Award, was covered in media like Times, Discovery Channel and LA Times. Tennibot also won $40,000 from the Alabama Launchpad competition and are launching a crowdfunding campaign today! Tennibot uses computer vision and artificial intelligence to locate/pick up tennis balls and navigate on the court.


9 key mistakes organizations make when analyzing data

#artificialintelligence

Data analysis is becoming less of a niche skill and more of a common requirement for jobs and roles of all shapes and sizes. Over the past 20 years, data has gone from relatively scarce to so abundant we aren't sure what to do with it. Gathering and analyzing data is a now part of most jobs within most organizations, either to better understand your role, to measure your results or to guide you in what to do next. Unfortunately, the accessibility and ubiquity of data has led to an increased number of amateur mistakes made in analyzing it--so if you want to improve your own analytic abilities and guard against these mistakes, you need to understand them. If your data is bad, even the best data analyst in the world can't save it from leading to bad conclusions.


Facebook data scandal: Researcher said company response just 'PR spin'

USATODAY - Tech Top Stories

The researcher whose quiz app sparked a data scandal at Facebook said the social network's stance blaming him is just "PR spin." During an interview Monday morning with NBC's Today show, Alexander Kogan said the data he collected through the app was no different than what other researchers have done working with Facebook. "If I knew the project was going to make them upset I would never do it," said Kogan. "A lot of other developers collected way more data and cared a lot less about their relationship with Facebook." Kogan has been blamed by Facebook for inappropriately sharing user data with Cambridge Analytica, a political consulting firm, which then used it to launch targeted advertising during the 2016 presidential election.


How AI Will Reshape Companies, Industries and Nations: An interview with Kai-fu Lee of Sinovation…

#artificialintelligence

Kai-Fu Lee is the founder and CEO of Sinovation Ventures, a Chinese technology venture investment firm. He was named one of Time magazine's 100 most influential people in the world in 2013. Before founding Sinovation Ventures, he was president of Google China and previously held executive positions at Microsoft, SGI, and Apple. While in Vancouver attending the TED conference, Lee sat down with Martin Reeves, director of the BCG Henderson Institute, to talk about the impact of artificial intelligence on companies, industries, and nations. Drawing from his new book AI Superpowers: China, Silicon Valley, and the New World Order -- which will be released in September 2018 -- he discussed the case for the regulation of AI applications, how AI affects company and national competitiveness, and how CEOs might be underestimating the effect of AI on the future of work. A transcript of the conversation follows. We hear all sorts of extreme predictions about the possibilities for AI.


Robots will take most jobs, predicts Bill Gates

#artificialintelligence

Bill Gates has warned it is inevitable that smart machines, powered by artificial intelligence, will replace most human work. In an exclusive interview for The Sunday Times's Danny in the Valley podcast, the Microsoft founder said it was only a matter of time before robots replaced humans in a substantial number of jobs. "Work won't be the central, almost religious activity it is today. That's an inevitability," he said. "Then you'll have all sorts of philosophical questions about purpose."


Tech Optimists See a Golden Future--Let's Talk About How We'll Get There

#artificialintelligence

Technology evangelists dream about a future where we're all liberated from the more mundane aspects of our jobs by artificial intelligence. Other futurists go further, imagining AI will enable us to become superhuman, enhancing our intelligence, abandoning our mortal bodies, and uploading ourselves to the cloud. Paradise is all very well, although your mileage may vary on whether these scenarios are realistic or desirable. The real question is, how do we get there? Economist John Maynard Keynes notably argued in favor of active intervention when an economic crisis hits, rather than waiting for the markets to settle down to a more healthy equilibrium in the long run.


Tesla CEO Elon Musk says social media, artificial intelligence should be regulated – Machine Learning

#artificialintelligence

Amid the firestorm surrounding Facebook CEO Mark Zuckerberg's Senate hearing, we asked another Silicon Valley titan, Tesla CEO Elon Musk, about the Facebook controversy during an interview Tuesday in California."Do I think there should be regulations on social media to the degree that it negatively affects the public good," Musk said. "We can't have like willy-nilly proliferation of fake news, that's crazy. You can't have more types of fake news than real news. That's allowing public deception to go unchecked. Musk said Tesla takes steps to keep its customer data private.The CEO said he's also feeling the pressure to meet production goals for the Model 3. Last week, Tesla predicted it would produce about 5,000 of the vehicles a week by the end of June. The company has struggled to meet previous goals, and Musk knows there are high expectations."I


Adam Nguyen, eBrevia: 'Purely Human Review Unsustainable' Artificial Lawyer

#artificialintelligence

Artificial Lawyer recently caught up with Adam Nguyen (pictured above), co-founder and COO of US legal AI company eBrevia, which in March announced that it had been chosen by Thomson Reuters (TR) to provide AI-driven document review for the global company's managed legal services clients. We discussed what the landmark deal means, how AI will be increasingly used in the legal world and where the company is heading. How significant is this both for TR and for eBrevia? This is an exciting time for TR and eBrevia. TR had carefully evaluated a number of AI-powered contract review softwares and selected eBrevia because we produced the most accurate results, not to mention the ease of tailoring eBrevia to specific industry needs.