The Optimizing Government Project brings together scholars and researchers to discuss the use of machine learning by government. In recent years, the private sector has succeeded in finding many ways to leverage machine learning--a type of artificial intelligence that enables computers to "learn and adapt through experience." Well-known private sector applications of machine learning include Google's self-driving car project, online recommendations personalized for customers on websites like Amazon and Netflix, and fraud detection by credit card companies. But as the private sector embraces machine learning in new ways, the application of machine learning by government agencies has only started to take root. The use of artificial intelligence by government, though, raises important questions for a democratic society--about fairness, equality, transparency, and accountability.
Accenture Uses Artificial Intelligence to Help the Elderly Better Navigate Their Care and Improve Their Well-Being LAS VEGAS and LONDON; Nov. 28, 2017 – Accenture (NYSE: ACN) has completed a pilot program that uses artificial intelligence (AI) and the ease of voice to help older people manage the daunting challenges of navigating their care delivery and well-being. The Accenture Liquid Studio in London developed an AI-powered platform (the Accenture Platform) that can learn user behaviors and preferences and suggest activities to support the overall physical and mental health of individuals ages 70 and older. The Accenture platform, which runs on the Amazon Web Services (AWS) cloud, includes a'Family and Carer' portal that lets family and caregivers check on the individual's daily activities, such as whether they have taken their medication or made new requests for caregivers. The Accenture platform can also spot abnormalities in behavior and alert family or friends, based on user defined permissions. Elder Care Pilot: Accenture Uses AI to Help Navigate Elder Care Other services provided by the Accenture platform helped participants find local events as well as potential new friends, encouraging them to become more active and social.
Researchers have identified an incredibly smart method used by fruit flies to categorise odours – and it's so clever it could be applied to powering recommendation algorithms for the likes of Netflix or Spotify. In the same way that YouTube might want to flag up videos similar to the one you've just watched, fruit flies – like many other animals – need to know which smells are similar, for finding food and avoiding poisonous substances. The team from the University of California San Diego (UCSD) and the Salk Institute for Biological Studies in California has found that fruit flies have an especially clever way of categorising odours which lets them recognise differences with a very fine level of accuracy. "In the natural world, you're not going to encounter exactly the same odour every time; there's going to be some noise and fluctuation," says one of the researchers, Saket Navlakha from Salk. "But if you smell something that you've previously associated with a behaviour, you need to be able to identify that similarity and recall that behaviour."
If you care more about your smart speaker's sound than which digital assistant it employs, the new Google Home Max speaker should be on your holiday short list. After days of pumping an eclectic range of music through Google's $399 speaker -- from AC/DC to the Three Tenors -- it's clear the Google Home Max is in a class by itself when it comes to filling a home or apartment with sounds even an audiophile could appreciate. The downsides: It's big, heavy, cord-powered and not particularly portable. Admittedly, for many people the decision to purchase this or that voice-activated smart speaker has often boiled down to which AI-infused digital assistant you're most comfortable engaging with in your home, most likely Amazon's Alexa or the Google Assistant. But when music is the priority, different features come into play.
Trust me – it's not you. Our world really is more unpredictable than ever. Even the best-laid strategies are being disrupted, whether they are focused on the workplace's culture, technical environment, market dynamics, customer behavior, or business processes. But central to these uncertainties is one constant: an algorithm guiding every step along the evolutionary trail to digital transformation. "Each company has a predictable algorithm that's driving its business model," said Sathya Narasimhan, senior director for Partner Business Development at SAP, on a live episode of Coffee Break with Game Changers Radio, presented by SAP and produced and moderated by SAP's Bonnie D. Graham.
AI Will Create 2.3 Million Jobs in 2020, While Eliminating 1.8 Million The number of jobs affected by AI will vary by industry; through 2019, healthcare, the public sector and education will see continuously growing job demand while manufacturing will be hit the hardest. Starting in 2020, AI-related job creation will cross into positive territory, reaching two million net-new jobs in 2025. "Many significant innovations in the past have been associated with a transition period of temporary job loss, followed by recovery, then business transformation and AI will likely follow this route," said Svetlana Sicular, research vice president at Gartner. AI will improve the productivity of many jobs, eliminating millions of middle- and low-level positions, but also creating millions more new positions of highly skilled, management and even the entry-level and low-skilled variety. "Unfortunately, most calamitous warnings of job losses confuse AI with automation -- that overshadows the greatest AI benefit -- AI augmentation -- a combination of human and artificial intelligence, where both complement each other."
For many years, the main goal of the Netflix personalized recommendation system has been to get the right titles in front each of our members at the right time. With a catalog spanning thousands of titles and a diverse member base spanning over a hundred million accounts, recommending the titles that are just right for each member is crucial. But the job of recommendation does not end there. Why should you care about any particular title we recommend? What can we say about a new and unfamiliar title that will pique your interest?
Do you remember the first time that you saw R2D2 and C3P0 from Star Wars? These two robots exhibited human-like behavior as they interacted with people and the world around them. How about when the whole world was subject to machine control in The Matrix? That's a pretty frightening concept. These movies, like many others, have their own depictions of what Artificial Intelligence looks like, and means to us as a society.
You should know that it still wasn't easy to do, and it's not a foolproof strategy. But it works, and the key is an Android phone. That's right, the most important tool for cheating at HQ is the phone that you can't play HQ on – at least not yet (it's coming later this month). For those not familiar with the app, HQ has burst onto the scene as the hot new live trivia app, complete with a Quiz Daddy, hundreds of thousands of users, and cash prizes. So, naturally, we tried to cheat at it.
An automated army of pro-Donald J. Trump chatbots overwhelmed similar programs supporting Hillary Clinton five to one in the days leading up to the presidential election, according to a report published Thursday by researchers at Oxford University. The chatbots -- basic software programs with a bit of artificial intelligence and rudimentary communication skills -- would send messages on Twitter based on a topic, usually defined on the social network by a word preceded by a hashtag symbol, like #Clinton. Their purpose: to rant, confuse people on facts, or simply muddy discussions, said Philip N. Howard, a sociologist at the Oxford Internet Institute and one of the authors of the report. If you were looking for a real debate of the issues, you weren't going to find it with a chatbot. "And a lot of what they pass around is false news."