What Is Ray Kurzweil Up to at Google? Writing Your Emails


The company already employed some of the most influential thinkers in machine learning and AI, and was rapidly expanding its roster of engineers building machine learning systems to power new products. Although their code powers it today, Kurzweil's group didn't invent Smart Reply. It was first built by engineers and researchers from the Gmail product team and the Google Brain AI research lab. But you could describe any machine learning system built with artificial neural networks that way, and none made yet is really very brain-like.

15 apps to power up your productivity

The Guardian

Boomerang is a plugin for Gmail, Outlook and Android that lets you temporarily dismiss messages from your inbox, to reappear in a few hours or days when you're better able to deal with them. The $8 Premium edition adds the ability to upload your scans directly to cloud services such as Dropbox and Google Drive. The free service supports meetings with up to three participants; paid-for plans, starting at £12 per month, raise this cap to 50 users and add scheduling and recording tools. For £28 a year, a premium subscription adds reminders and lets you collaborate with 25 users, up from five in the free version.

Getting a Grip on Artificial Intelligence


This explains why corporations like Google, Facebook, Baidu, and other search engines and social networks with millions of users and almost limitless data have a distinct advantage when it comes to machine learning. Because a lot of the tools being used to develop AI are currently opensource, the possibility of both large and small businesses taking advantage of them to solve very specific problems by optimizing very specific tasks with AI has become a possibility. It also stands to reason that for any positive advantage AI might give honest government administrators, businesses, or individuals, an equally negative advantage could be lent to dishonest organizations or individuals. In terms of an independent, sentient AI system more intelligent than humans, Elon Musk has compared it to knowing that an advanced race of aliens was coming to Earth in the next 10-20 years.

Welcome to the Hotel California of Artificial Intelligence


After already two decades, the Internet giants – speaking of Amazon, Google, Facebook, Alibaba and Baidu – are still collecting tons of data, filling their databases with information of everyone's knowledge, opinions, recommendations, locations, movements, buying behavior, relation status, lifestyle etc. On the contrary, almost every month, new services or devices are released to provide a better user experience, make our life more convenient and increase our dose of digital addiction. However, this progress of technological developments shows one thing: Amazon, Google & Co. find new ways to engage with us over other channels, collecting the data, information and knowledge they need to make better decisions and deliver better answers back to us. Speaking of Artificial Intelligence, the Internet giants are fully embracing AI.

4 novel ways to get kids reading and learning


This subscription service includes content from hundreds of publishers, including leading brands like Macmillan, HarperCollins, Sesame Street, National Geographic, Smithsonian Enterprises, and Encyclopedia Britannica, to name a few. Once you start reading, the app can offer personalized recommendations based on interest and level, plus there's a reward system as extra motivation to keep kids reading. Learn to code at a young age with Apple's Swift Playgrounds, a free download for iPad. Apple's free app for iPad that lets kids (or kids at heart) learn and experiment with code.

Machine Learning in a Nutshell


So, my colleague and I were discussing the topic and after a while she said she doesn't understand machine learning & Artificial Intelligence fully. In 1959, Arthur Samuel sparked the discussion on Machine Learning (ML), stating that ML gives, "computers the ability to learn without being explicitly programmed." This is where another algorithmic concept called Artificial Neural Networks and Deep Learning came into being. To know more about Machine Learning and Artificial Intelligence in depth, listen to ResellerClub's Tech Talks revolving on this topic that was aired on 9th August, 2017.

Artificial Intelligence in Enterprise – Using Meta-Vision to Disrupt Business Models for Products and Service


For a compilation of business intelligence, Meta-Vision instantly understands what's important, automatically finds context, curates supporting facts (drawn from the data source), and creates a custom topology of machine-generated hashtags – mapping subject matter by Context Discriminants[2] – in seconds. Meta-Vision identified product weaknesses of the Lenovo Yoga 910 were a noisy PC fan and poor keyboard design. Meta-Vision topology corroborated the findings from the Earned Media analysis – a noisy PC fan and poor keyboard design – also negatively impacted the user experience. From product managers to sales and marketing, Meta-Vision empowers business teams to fully leverage information to elevate their execution, connect the dots, and tactically maximize outcomes and mitigate risk with disruptive decision-making.

Putting AI into action


According to Gartner's IT Glossary, AI is technology that appears to emulate human performance – typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialog with people, and enhancing human cognitive performance. Indeed, AI represents a force of differentiation that will enable service providers to more effectively drive value across the business – from network optimisation and data analytics through to customer care and marketing engagement. AI can keep pace with these demands with solutions (both machine learning and deep learning) that include analytics tools and automation that can systematically respond, operate and improve operational and business support systems. It can take network optimisation to new levels, bringing advanced intelligence to data analytics, while making customer-facing operations and services more effective than ever before.

Is it worth the time for someone who is well versed with Deep Learning to take the Andrew Ng course? • r/MachineLearning


A lot of Andrew's recent stuff has been about evangelizing deep learning to new users or to semi-technical people (like project managers), so I would assume this new course is aimed at a similar audience. I'd be interested to hear from someone who has looked at it more closely though.

Why artificial intelligence #AI is not really artificial – it is very tangible


A new topic is buzzing through academic conferences, dominating business strategy sessions, and making waves in the public discussion: artificial intelligence (AI). Let's first start with the basics: the difference between Artificial Intelligence, Machine Learning & Deep Learning. How ML and AI are making cloud ERP increasingly more'intelligent' Digital has disrupted the world and changed the way businesses operate, creating a new level of complexity and speed. It delivers flexible automation using AI, ML, IoT, and predictive analytics to drive digital transformation of the business.