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Ericsson #IoT with @EsmeSwartz @ThingsExpo @EricssonIT #AI #ML #M2M
"I think that everyone recognizes that for IoT to really realize its full potential and value that it is about creating ecosystems and marketplaces and that no single vendor is able to support what is required," explained Esmeralda Swartz, VP, Marketing Enterprise and Cloud at Ericsson, in this SYS-CON.tv Internet of @ThingsExpo, taking place June 6-8, 2017 at Javits Center, New York City, is co-located with 20th International @CloudExpo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.
The year of augmented writing
With the extraordinary change that technology has brought to the news and information landscape, the future of news depends on journalists working alongside smart machines. The first wave of this symbiosis was news automation, where artificial intelligence systems generate written stories and alerts directly from data. The goal is not to displace journalists from their jobs -- it's about freeing up their time from labor-intensive tasks so they can do higher-order journalism. Following the direction set in motion by automation, the next evolution will be about leveraging smart tools that can help journalists augment their own writing. This means AI-powered interfaces capable of providing context to topics in real time and even optimizing a news report based on its dateline and subject matter.
The Expanse's Secret Weapon? Actual Science
The show features colorful characters, sharp dialogue, and complex political machinations, but what really sets it apart from other sci-fi TV is the realistic way that it handles gravity and orbital trajectories. Much of the credit for that goes to showrunner Naren Shankar, who holds a PhD in physics and engineering from Cornell. "Most space battles are just re-hashes of World War II fighter battles in the Pacific," Shankar says in Episode 240 of the Geek's Guide to the Galaxy podcast. "And that's fine, if they want to be that kind of a fantasy, but I find great beauty in the way the ships move in our show." That attention to detail is most evident in Episode 4, "CQB," which is set aboard a damaged spacecraft whose engines are failing, resulting in an intermittent loss of the ship's artificial gravity.
Time For Chatbots To Get Smart
When you imagine the ideal chatbot, what do you picture? The bot in your mind's eye may resemble something along the lines of blockbuster movie favorites like Baymax from Big Hero 6, Wall-E's EVE, or my personal hero, C-3PO. You probably didn't imagine a small tower that lives on your shelf, like Alexa; a virtual being that resides in the cloud and is accessed through your smartphone, like Siri; or even a pop-up chat window on your computer screen that can answer questions about your favorite products. Besides their looks, there's another major difference between today's artificial intelligence (AI) and our movie favorites: Our most beloved fictional chatbots all possess emotional intelligence (EI). As we move into the future, AI needs humanizing qualities to improve the way it interacts with us, meets our needs for information, and even controls the other technology around us.
Decision Space – Conceptual dataset for machine learning
Created by Sebastian Schmieg and launched in October 2016 on the website of The Photographers' Gallery, Decision Space marked the beginning of a series of works raising questions around photography, big-data, surveillance, the hidden manual labor behind artificial intelligence and the biases embedded in algorithmic systems. In Decision Space, visitors were invited to assign all the images available on the gallery's website to one of four categories: Problem, Solution, Past and Future. The project resulted in a new conceptual dataset for machine learning and machine vision which can be now be browsed and downloaded at "This is the Problem, the Solution, the Past and the Future". This new dataset makes possible experiments in teaching computers how to understand images within a set of meaningful and complex categories. It consists of around 2.500 photos and includes artists like Cindy Sherman, Jacques-Henri Lartigue, Elliott Erwitt, Sebastião Salgado, Weegee, Valie Export, Francesca Woodman, Simon Fujiwara, Trevor Paglen and many more.
GovTech Business Watch: Startup Working on AI for Police Body Camera Video, Itron Seeks App Functionality for Smart Meters
GovTech Business Watch is a weekly roundup of news in the government technology market. Following the explosive popularity of body cameras at police departments across the country, a video analytics company is training up programs that could help automate some of the work it takes to get value out of the huge volume of visual data those cameras produce. Dextro, a New York-based company founded in 2013, has traditionally sold its services to the private sector. But now, according to an article from the Knight Foundation-backed news site Undark, the company is building up its artificial intelligence capacities to handle video from police departments. With companies such as Taser selling thousands upon thousands of cameras, many of them now producing high-definition video, police departments are beginning to compile terabyte-sized archives of data.
Deal of The Day: 92% Off On Machine Learning with Python Course and E-Book Bundle
You know that artificial intelligence and machine learning are the fields of the future, right? Sure, they might also be the fields that spell mankind's demise, but let's try to stay positive and assume we're figure out how not to create machines who want to eliminate us. The point is, if you want to learn some soon to be very marketable skills, there's this Machine Learning with Python Course and E-Book Bundle right here that might interest you. There's a total of 4 e-books and 5 courses to help you come to grips with all the basics, as well as delving into some more advanced stuff. Considering the entire bundle is only $49, it's a very cost efficient way to explore a field that's in high demand for competency, and already offering some high-paying jobs.
Hollywood Actress Kristen Stewart Publishes Research Paper On Artificial Intelligence
"Twilight" actress Kristen Stewart is so much more than an actress that plays a role in a movie, as she recently published a research paper about Artificial Intelligence that she co-authored. She definitely offers more than what is expected from her and it has amazingly surprised her fans and the rest of the world. Just recently, Hollywood actress Kristen Stewart co-authored a research paper on neural style transfer which is a technique that is currently using artificial intelligence to reconfigure an image using another style. The paper is written by Bhautik J Joshi who is a research engineer at Adobe and is related to the short film and Stewart's directing debut entitled "Come Swim." The paper was recently submitted to the open access library at the Cornwell University last Wednesday.
Amazon Alexa is problematic for people with the same name
It is supposed to be the futuristic household tool catering to the demands and whims of tech-savvy homeowners. But to those named Alexa, it appears the Amazon Echo makes life decidedly more frustrating. The gadget, which perform tasks including ordering shopping online through simple voice commands, has become the focus of annoyance to Alexas across the globe – because that is precisely the name to which the device answers. Amazon Echo is a voice-controlled smart speaker that works alongside a smartphone app. Using a virtual assistant called Alexa, the speaker can respond to voice commands from the user, such as setting an alarm or ordering a cab.