This is why people are talking about FaceApp

USATODAY - Tech Top Stories

Viral app FaceApp is made in Russia, raising concerns about security from the DNC, and calls for investigation by Chuck Schumer. My life is ruined thanks to FaceApp pic.twitter.com/zd6yjwhlXc So I downloaded this app and decided to pick the "hot" filter not knowing that it would make me white. Ever wonder what you might look like when you get older, or curious how you would look as the opposite gender? FaceApp, available on both Apple's App Store and Google Play, uses artificial intelligence to create "neural face transformations," such as aging your selfie or turning you into the opposite gender.


How the moon landing shaped early video games

The Guardian

On 20 July 1969, before an estimated television audience of 650 million, a lunar module named Eagle touched down on the moon's Sea of Tranquility. The tension of the landing and the images of astronauts in futuristic spacesuits striding over the moon's barren surface, Earth reflected in their oversized visors, would prove wildly influential to artists, writers and film-makers. Also watching were the soon-to-be proponents of another technological field populated by brilliant young geeks: computer games. It is perhaps no coincidence that during the early 1960s, when Nasa was working with the Massachusetts Institute of Technology's Instrumentation Lab to develop the guidance and control systems for Apollo spacecraft, elsewhere on campus a programmer named Steve Russell was working with a small team to create one of the first true video game experiences. Inspired by the space race, and using the same DEC PDP-1 model of mainframe computer that generated spacecraft telemetry data for Nasa's Mariner programme, Russell wrote Spacewar!, a simple combat game in which two players controlled starships with limited fuel, duelling around the gravitational well of a nearby star.


Automatic for the people? Experts predict how AI will transform the workplace

The Guardian

Workplaces should use automation technologies to enhance employees' jobs rather than to replace humans, according to speakers at an event held by the Guardian on 11 July. However, they saw problems in the introduction of technologies such as artificial intelligence (AI) and robots, the latter including software as well as physical machines. "Humans should not worry too much about replacement, but need to find new ways to work together with AI," said Chelsea Chen, co-founder of Emotech, a company which makes a voice-operated device called Olly that aims to recognise users' emotions as well the content of speech. Chen said that human employees are likely to remain better at dealing with people's emotions than computers. She says Olly can express excitement in response to what a user says, but that does not make it conscious: "Any job which is highly relevant to people will be really hard to replace."


Why Organisations Nowadays Want an Analytics Platform Machine Learning Analytikus United States

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To perform a better assessment of the value that is brought through analytics, we asked respondents exactly what they used the data and analytics in their organisation for. A compelling 98% of all respondents believed that analytics did play a role in their organisation. Its deployment, however, varied from case to case. When asked about the role that analytics played in their system, 39% of respondents believed that analytics was used for making both tactical and strategic decisions across the organisation.


How to Get Started With Generative Adversarial Networks (7-Day Mini-Course)

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Generative Adversarial Networks, or GANs for short, are a deep learning technique for training generative models. The study and application of GANs are only a few years old, yet the results achieved have been nothing short of remarkable. Because the field is so young, it can be challenging to know how to get started, what to focus on, and how to best use the available techniques. In this crash course, you will discover how you can get started and confidently develop deep learning Generative Adversarial Networks using Python in seven days. Note: This is a big and important post. You might want to bookmark it. How to Get Started With Generative Adversarial Networks (7-Day Mini-Course) Photo by Matthias Ripp, some rights reserved.


Aroma: Using ML for code recommendation

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Thousands of engineers write the code to create our apps, which serve billions of people worldwide. This is no trivial task--our services have grown so diverse and complex that the codebase contains millions of lines of code that intersect with a wide variety of different systems, from messaging to image rendering. To simplify and speed the process of writing code that will make an impact on so many systems, engineers often want a way to find how someone else has handled a similar task. We created Aroma, a code-to-code search and recommendation tool that uses machine learning (ML) to make the process of gaining insights from big codebases much easier. Prior to Aroma, none of the existing tools fully addressed this problem.


10 charts that will change your perspective of AI in marketing

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Artificial Intelligence enables marketers to understand sales cycles better, correlating their strategies and spending to sales results. AI-driven insights are also helping to break down data silos so marketing and sales can collaborate more on deals. Marketing is more analytics and quant-driven than ever before with the best CMOs knowing which metrics and KPIs to track and why they fluctuate. The bottom line is that machine learning and AI are the technologies CMOs and their teams need to excel today. The best CMOs balance the quant-intensive nature of running marketing with qualitative factors that make a company's brand and customer experience unique.


Turnkey AI From Development Kit to Deployment

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In 2017, work-related injuries cost insurance companies an estimated $161 billion. And of course the impact on workers' health and safety goes beyond the numbers. That's why many worksites require protective gear such as helmets, vests, gloves, and masks. But enforcing these policies can be a challenge. It's not always practical to keep staff on hand to monitor workers.


How Etsy taught style to an algorithm

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At Etsy, the search challenge is particularly tough. The site's stock in trade is not the sort of mass-produced goods that can be neatly categorized. Instead, 75% of the 60 million items that its 2 million merchants offer are handmade and therefore one of a kind. Even if they speak deeply to a shopper, they may do so for reasons that are difficult to divine from search terms and the information in product listings. "We don't have merchandisers entering the descriptions of the blue shirts in the pallets in the warehouse," says Mike Fisher, Etsy's CTO.


HHS awards $49m contract to Ernst & Young LLP for IAAI products and services

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Ernst & Young LLP (EY) announced that the Department of Health and Human Services (HHS) has awarded a $49 million IDIQ (indefinite delivery indefinite quantity) contract vehicle to the EY US Government & Public Sector practice for intelligent automation and artificial intelligence (IAAI) products and services. The Health and Human Services Program Support Center is managing a government-wide contract vehicle for IAAI services. The intent of the vehicle is to promote innovation in this space through funding support for rapid prototyping and proof of concepts leveraging robotic process automation, natural language processing, machine learning, artificial intelligence and blockchain. "We're honored we've been selected and are presented with the opportunity to share our IAAI capabilities to help HHS and other agencies transform their operations," said Mike Herrinton, Partner and US Government & Public Sector Leader at Ernst & Young LLP. "EY implements digital solutions with modern technologies that can help agencies unlock the potential of their data and assets, and change the way customers interact with the government."