Game lovers are likely to be familiar with Nvidia's graphics processors. The US tech firm continues to derive the bulk of its revenue from gaming-related semiconductors, but there is now a new growth segment -- chips for artificial intelligence (AI). Business related to deep learning, a core part of an artificially intelligent machine, is one key factor behind Nvidia's impressive first-quarter results. The advanced machine learning function is being applied to numerous areas, including speech recognition, video search, face detection and self-driving vehicles. Nvidia is already working closely with automaker Tesla in development of driverless car technology, which deploys AI to detect pedestrians and track lanes and to recognize traffic signs.

I wanted to put some of my ideas together, so as usual I'm writing a blog post. These are all pretty basic ideas but maybe they are helpful to people who are new to thinking about machine learning! When explaining what machine learning is, I'm giving the example of predicting the country someone lives in from their first name. So John might be American and Johannes might be German. In this case, it's really easy to imagine what data you might want to do a good job at this -- just get the first names and current countries of every person in the world!

The world got its first glimpse of Allo at Google's yearly I/O conference on Wednesday. Its creators hope the Android and iOS app will transcend similar services like Amazon Alexa, Facebook Messenger, and WhatsApp. Receiving a photo of clam linguini prompted Allo to offer responses like "Yummy!" and "I love linguini!" Known as Smart Reply, the feature may one day keep thumbs from worrying about autocorrect, as full conversations could be had at one tap per message. As Allo gets to "know" its user over time, other responses, such as "I wish I wasn't allergic," could conceivably be produced. The app will do more than just recognize images and suggest responses, however.

The science and technology wants to make our living easy but at the same time it is affecting our lifestyle and health. The scientists are curious beings and we know that but they are quite stubborn too when it comes to reaching their goals. Artificial Intelligence (AI) is cool if you think about it but at the same time it does have some drawbacks. Every technology has its cost like after sitting in air conditioner rooms we no longer are able to tolerate a bit of heat. Likewise invention of vehicles was needed to travel long distances but now people can't even walk a mile, nowadays everyone is using vehicles to reach very nearby places as well.

Futurist, author and inventor Ray Kurzweil delivered a keynote speech to 800 attendees at 2016 Tech Leadership Conference in Waterloo, Canada. Ray Kurzweil envisions the future -- by year 2020, 3D printing will transform manufacturing. People will print their own clothing, he predicts. In Asia, builders are making small office buildings using modules made by 3D printers. Inventors created jet engines and cars out of printed parts, Kurzweil says. Impact on a declining manufacturing industry could be catastrophic. Jobs will be lost, manufacturing will turn into an information industry, but there's a silver lining behind industry disruption, he says. The fashion industry will explode with new ideas as people design, make and share clothes using 3D printers. Kurzweil sees manufacturing moving into open source design and production.

Life would be pretty dull without imagination. In fact, maybe the biggest problem for computers is that they don't have any. That's the belief motivating the founders of Vicarious, an enigmatic AI company backed by some of the most famous and successful names in Silicon Valley. Vicarious is developing a new way of processing data, inspired by the way information seems to flow through the brain. The company's leaders say this gives computers something akin to imagination, which they hope will help make the machines a lot smarter.

Google (GOOGL) kicked off its developer conference Wednesday by highlighting its progress with artificial intelligence. CEO Sundar Pichai opened and closed the closely watched event at its Mountain View, Calif., headquarters by outlining the Internet giant's research in AI and machine learning. Among the applications Google sees for this technology is teaching computers how to "see" what's in a person's photo, as well as understanding what users are asking a software program to do, rather than simply deciphering spoken language. All of that baseline research, which companies such as Facebook (FB), IBM (IBM), Microsoft (MSFT) and China's Baidu (BIDU) are also pursuing, today is already being used in Google products in some way, he said. Notably, Pichai explained, Google's focus on AI shows its efforts to move away from its search engine's reliance on links and instead delivering information based on where users and what they have asked for in the past.

According to a new market research report, "Speech Analytics Market by Type (Solutions (Speech Engine, Indexing, Analysis and Query Tools, and Dash Boards and Reporting Tool) and Services), by Deployment Type (On- Remise, Cloud), by Organization Size, by Vertical, & by Region – Global Forecast to 2020?, published by MarketsandMarkets, the market size is estimated to grow from USD 589.2 Million in 2015 to USD 1.60 Billion by 2020, at an estimated Compound Annual Growth Rate (CAGR) of 22.0% from 2015 to 2020. Browse 66 market data Tables and 25 Figures spread through 145 Pages and in-depth TOC on"Speech Analytics Market" Early buyers will receive 10% customization on this report. The speech analytics technology is witnessing the rising demand due to the need to decipher hidden insights from the customer interaction data. Rising number of contact centers, importance of customer feedback, need for Customer Relationship Management (CRM), product development, increasing competition among organizations, and stringent compliance management are some of the factors deriving the demand of speech analytics solutions and services. The speech analytics solutions are expected to dominate the market from 2015 to 2020, with larger market share than the service segment, due to growing trends of analytical insights from customer interaction data.

Pepper the robot participates in a Japanese ribbon-cutting ceremony earlier this year. Its manufacturer, SoftBank Robotics, is opening new offices in San Francisco and releasing a development kit for Android programmers. MOUNTAIN VIEW, Calif. - Pepper the robot is coming to our shores later this year, and its creators want the help of Android developers to help make it smarter. Japan-based SoftBank Robotics announced Wednesday at Google I/O, the company's annual developer's conference, that it is opening a new Pepper-focused outpost in San Francisco and unveiling an Android SDK, or software development kit, in the hopes of enticing programmers to write code for the robot. "Pepper is ultimately an unfinished product, and we just wanted to incentivize developers to expand the ways in which people can engage with a humanoid robot," says Steve Carlin, vice president of SoftBank Robotics Americas, which has an existing office in Boston.

Pepper is finally coming to America. SoftBank said today that its chatty humanoid robot, unveiled with great fanfare by the company's founder and CEO Masayoshi Son two years ago, is expected to debut in the North American market later this year. SoftBank also announced that a new developer portal is now available to anyone interested in creating applications for the robot. And tomorrow at Google I/O, SoftBank engineers will take the stage, along with Pepper, to introduce a tool that they hope will entice more developers to build apps for the robot: an Android SDK. "We're so excited to see what the development community can bring on to our platform," Steve Carlin, vice president of marketing and business development for SoftBank Robotics America, told IEEE Spectrum, adding that "ultimately what is going to really power Pepper is the creativity of this community."