While most TV watchers should be perfectly happy with a regular remote control, there's a certain nerdy pleasure in bringing a full-sized keyboard and trackpad into the living room. This combo is better for typing out search terms and passwords, of course, but it also helps with browsing the web on the big screen, it makes home-theater PCs considerably more usable, and it lets you use extensive shortcuts with media-center software such as Kodi. The $70 Logitech K600 keyboard is aimed specifically at these kinds of uses, with thumb-friendly TV navigation buttons, a built-in trackpad, and preset key mappings for various smart TV platforms. But for all its clever couch-friendly ideas, it's also missing some features that would make living-room use even easier. And no matter how useful it might be, using a keyboard from the couch will always feel a little bit silly.

Artificial intelligence (AI) tends to divide public opinion; some favor the developments made in tech, while others worry we've gone too far. Tony Emerson, head of global entertainment at Microsoft quashed fears and answered questions from The Drum editor Stephen Lepitak during the Edinburgh Television Festival, when he spoke about the company's decision to invest in entertainment. He admitted that the company wasn't actively involved in the sector, but revealed that it works closely with and provides services to entertainment organizations, which explains the launch of its Video Indexer tool. Video Indexer promises to bolster the entertainment industry by streamlining processes and freeing up manpower. Humans have felt continually threatened by the potential of AI, but Emerson clarified that technology will always act as an assistant to human creativity and will only help to relieve labor-intensive jobs.

The machines haven't taken over. However, they are seeping their way into our lives, affecting how we live, work and entertain ourselves. From voice-powered personal assistants like Siri and Alexa, to more underlying and fundamental technologies such as behavioral algorithms, suggestive searches and autonomously-powered self-driving vehicles boasting powerful predictive capabilities, there are several examples and applications of artificial intellgience in use today. However, the technology is still in its infancy. What many companies are calling A.I. today, aren't necessarily so.

Five Thirty Eight: Technology Is Biased Too. Growing up, one of my favorite movies was Steven Spielberg's Minority Report. I was fascinated by the idea that a crime could be prevented before it occurred. More interesting to me at the time was the futuristic role that'super intelligent' technology – something depicted as more sophisticated and advanced than humans – could play in doing this accurately. Recently, the role that pre-crime and artificial intelligence can play in our world has been explored in episodes of the popular Netflix TV show Black Mirror, focusing on the debate between free will and determinism. Working in counter-terrorism, I know that the use of artificial intelligence in the security space is fast becoming a reality.

Summary: Researchers have created a new deep learning system that can determine if a news outlet is accurate or biased based on only 150 articles published. The algorithm can also detect the political leanings of a news site. Researchers say fake news articles are more likely to use language that is hyperbolic, subjective and emotional.

Young children are spending record time on hand-held devices. According to new data published on Thursday, the amount of time under-5s devote to watching TV and video content via such appliances is now 2.8 hours, per day. That's an increase three out of four infants aged under five have regular access to a computer or mobile tablet. Last year, they spent 2.6 hours each day, but this has now risen to 2.8 hours. In addition, the majority of pre-school children also have their very own gadget.

If you still believe that your daily activities are the result of your own choices, you are mistaken. Few of us understand that our purchasing decisions, and increasingly our life decisions, are heavily influenced by advanced algorithms. In this piece, you'll learn about: Algorithms divide potential customers into groups on the basis of their behavior, interests or decisions that they make. They don't just analyze data, they predict the path customers will take in the future and, for example, cleverly controlling product margins. A collection of all this information (defined by Gartner as "Information of Everything") is enough to effectively build behavioral profiles that allow customer contact to be revolutionized.

H2O.ai, the open source leader in AI, has been named a "Top 3 Vendor" in Artificial Intelligence and Machine Learning by industry analyst firm Enterprise Management Associates (EMA) in its latest report titled "EMA Top 3 Enterprise Decision Guide for Artificial Intelligence (AI) and Machine Learning (ML)," based on the innovations of its enterprise-ready automated machine learning platform, H2O Driverless AI. The new report from EMA provides guidance for enterprises on how to optimally leverage today's AI and ML capabilities depending on their individual situation and priorities, specifically highlighting the top three enterprise software products in the industry it recommends should be included in product evaluations. Each of the Top 3 Vendors EMA were chosen based on end user research, market analysis, technical product reviews and expert interviews to provide enterprise customers with pragmatic guidance to optimally benefit from AI and ML. In the EMA report, H2O.ai is specifically recognized for "its vision of creating an AI and ML tool that ultimately aims to allow almost everyone within the business to create their own predictive models," and how that vision is executed in H2O Driverless AI. The automated machine learning platform empowers data scientists or data analysts to work on projects faster and more efficiently by using automation and state-of-the-art computing power to accomplish tasks that can take humans months in just minutes or hours by delivering automatic feature engineering, model validation, model tuning, model selection and deployment, machine learning interpretability, time-series, NLP and automatic pipeline generation for model scoring.

Carl Vondrick is a doctoral candidate and researcher at MIT, where he studies computer vision and machine learning. His research focuses include leveraging large-scale data with minimal annotation and its applications to predictive vision and scene understanding. Recently his work has received a lot of media attention, including features in Forbes, Wired, CNN and PopSci, and other media outlets worldwide. As part of his work with MIT CSAIL, Carl built a deep learning vision system for AI to learn and understand human behaviour and interactions, using popular TV shows like The Office, Desperate Housewives, and YouTube videos. The resulting algorithm analyzes videos, then uses what it learns to predict how humans will behave.

NEW YORK--(BUSINESS WIRE)--Oct 4, 2018--Lemonade, the insurance company powered by artificial intelligence and behavioral economics, today announced the appointment of Jorge Espinel as its Chief Business Development Officer, reporting directly to Lemonade CEO and cofounder Daniel Schreiber. Espinel comes to Lemonade from Spotify, where he ran business development worldwide. His main focus at Lemonade will be to grow Lemonade's product offering and reach through strategic partnerships and corporate development initiatives. "For years we've admired how Spotify achieved spectacular growth through innovative partnerships. Few people and few companies have accomplished what Jorge did with Spotify," said Shai Wininger, Lemonade COO and cofounder.