Personal Assistant Systems
Facebook's Algorithm Changes Leave Dating Apps -- Not Just Media Publishers -- Frustrated By Reach Restrictions
When Facebook announced a tweak to its news feed algorithm Wednesday, dating apps were put in a bind. The change that would soon prioritize friends' posts over those from publishers quickly led media industry types to declare it, once again, the end of media. But Facebook's decision doesn't solely affect news outlets. More than 50 million businesses use Facebook Pages -- from big brands like McDonald's and Nike to small shop owners to startups building the next top smartphone app. The downgrade could encourage more page owners to pay Facebook to boost their posts into the news feeds of users.
Dawn of the Virtual Assistant - NYTimes.com
You don't hear many people bellyaching about the servant problem these days. In 1904, when Saki wrote, "The cook was a good cook, as cooks go, and as cooks go, she went," this lapidary witticism would have fallen on kind ears. The bourgeoisie of that era talked about the unreliability of hired help with the same willed petulance that we reserve today for conversations about how it takes three remotes to turn on our TV. Indeed, in today's world, it seems as if you'd be less likely to hear about a domestic walking out than you would someone falling in love with his virtual assistant. I recently used a virtual assistant named Amy for 10 days. We did not fall in love, but I should point out that Amy is underage because she is still in beta.
AI, Frankenstein? Not so fast, experts say – ESIST
Ask Apple's Siri digital assistant if she's evil, and she'll respond curtly, "Not really." Repeat a famous line from the movie "2001: A Space Odyssey," in which a computer on a spaceship kills nearly all the human crew, and Siri groans. And who can blame her? We humans have a morbid fascination with machines rising up to wipe us out or to enslave us as cocooned, flesh-and-blood battery packs. You can see that vision of the future streaming over Netflix whenever you want.
Agile Business: Efficient, Effective & Growing Artificial intelligence and machine learning help healthcare industry
The line between fiction and reality is blurring. Some years ago, driverless cars and drones delivering packages at our doorsteps would have seemed like science fiction. However, these and other new technological advances continue to astound us and make our lives easier. For instance, Dag Kittlaus, who created the virtual assistant Siri, recently showcased another artificial intelligence (AI) platform, Viv, at TechCrunch Disrupt, New York. Based on the demo shown, Viv seems to be a more sophisticated and powerful a virtual assistant.
How 'cognitive ergonomics' will humanise AI technology Information Age
Whether exchanging dialogue with our smartphones or scribbling characters on touchscreens, the Human-Machine Interfaces (HMI) we interact with today are intuitive and foster'easy to use' input methods. Driven by speech, handwriting and touch, our technologies are continually progressing towards intuitive communication between humans and machines, and we are continuing to march forward. However, several advancements in artificial intelligence technology, such as machine and deep learning capabilities, have paved the way for the humanistion of our machines and devices. And there's one particular development in the AI space which has pioneered the ability for seamless human-to-machine interaction - cognitive ergonomics. Through cognitive ergonomics, system designs that allows machines to adapt and operate considering mental workloads and other factors, we are able to communicate with our devices as easy as writing a note on paper.
Siri slyly refuses to answer one vital 'Game of Thrones' question
Warning: This post contains spoilers for Season 6 of Game of Thrones -- and probably Season 7, no thanks to Siri. Siri probably shouldn't be your number one source for Game of Thrones intel, but it looks like she knows more than she lets on. The Season 6 finale finally confirmed that Lyanna Stark is Jon Snow's mother, and if HBO graphics and Reddit theories are to be believed, we're all pretty sure Rhaegar Targaryen is his dad (surprise, surprise). SEE ALSO: That chilling song from the'Game of Thrones' finale is on Spotify Ask Siri who Jon Snow's dad is. No, Siri doesn't outright confirm Rhaegar's our guy (and how would she know?), but these typical sassy Siri answers are good enough for us.
AI, Frankenstein? Not so fast, experts say
Ask Apple's Siri digital assistant if she's evil, and she'll respond curtly, "Not really." Repeat a famous line from the movie "2001: A Space Odyssey," in which a computer on a spaceship kills nearly all the human crew, and Siri groans. And who can blame her? We humans have a morbid fascination with machines rising up to wipe us out or to enslave us as cocooned, flesh-and-blood battery packs. You can see that vision of the future streaming over Netflix whenever you want.
What Artificial Intelligence Means For Startup Neon Roots
There's been a lot of press recently about Artificial Intelligence, or AI. Put simply, AI can be defined as the "capability of a machine to imitate intelligent human behavior" – in this case, the fairly unique human trait of intelligence. But intelligence can mean a lot of things – anything from finding the shortest distance from A to B to detecting a cancerous cell in a collection of thousands of slide photos. To understand why AI is such a popular news topic these days, we first have to understand what it is. The first thing to understand about AI is there are two distinct types: weak AI, which we can think of as specific intelligence, and strong AI, which we can think of as general intelligence.
Building a Recommendation Engine with Scala: Saleem Ansari: 9781785282584: Amazon.com: Books
Scala is a programming language that makes it possible to write terse but efficient code. In today's fast paced world, learning languages like Scala pay great dividends when solving complex problems like building recommendation engines to optimize the customer experience. The big players like Google, Amazon, Linkedin and Facebook all employ recommendation engines to keep the customer coming back for more. The author of this book assumes no prior experience with Scala and starts from the beginning, explaining how to install Scala, the Scala Build Tool and Apache Spark. The author combines these with Apache Kafka and MongoDB to build a data processing pipeline able to glean upto the minute insights into customer data.