Our core retail experience hasn't changed much in recent years. We go into a store (or to an online portal), we browse through the available options, try them out and make the purchase. Well, that's where the disruptions are happening thanks to artificial intelligence (AI). It has completely transformed the way we handle our retail experience – both from a customer's perspective as well from a business standpoint. Artificial Intelligence creates an opportunity for retailers to bridge the gap between virtual and physical sales channels. Brands are progressively using Artificial Intelligence to reduce cost, improve efficiency, achieve operational agility and increase the speed of decision making in the retail world. According to IBM's recent study, AI-driven intelligent automation in the retail and consumer products industries is projected to leap from 40 percent of companies today to more than 80 percent in the next three years.

Google has an update that might make you hate your alarm a little bit less: a new feature lets it automatically change up what your alarm plays based on the time of day and the weather, theoretically playing something slightly more appropriate than the same awful song you hear day in and out. At least, it'll be nice as long as you're okay with waking up to AI-generated piano. The feature is confined to a single device for now: Lenovo's Smart Clock, a small smart display that basically has the functionality of a Google Home Mini paired with a screen that can show the time and weather. Google says this feature -- which it calls "Impromptu" -- is part of Google Assistant, though, which suggests it should reach other smart displays, and perhaps even phones, in the future. The announcement doesn't say when or whether it'll expand, however.

Over the past couple of years, YouTube has come under fire for its recommender system, with the media suggesting that it is promoting violent content, or banning LGBT content for violating its terms of service. Seemingly in response to all of this, Google has finally released a paper explaining YouTube's recommender system, including how it makes recommendations and the information it gathers in doing so. The paper, by Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, and Ed Chi, discusses some of the problems that common/"normal" recommender systems face, some of the specific ones that a platform as big as YouTube faces, and the architecture they used to create their system. One of the biggest issues the program had to tackle was that of scalability. Basically, no other recommender system has to work with such a large user platform, or with so many individual pieces of content.

It's a question most of us have asked at one point in our lives -is Santa real? Today's children aren't looking to their parents for an answer, but are turning to Google and the search engine is shattering the shattering the illusion. A report found that 1.1 million children learn online that Saint Nick is a fictitious character, as the first article in the search says'as adults we know Santa Claus isn't real.' When searching'Is Santa real' the first article that is displayed comes from Quartz, which provides parents with advice on how to answer the question . And the introductory sentence of the article reads: 'As adults we know Santa Claus isn't real.'

TV shows and fiction aside, the present day examples of basic AI are Google Voice, Cortana, Alexa, Siri and chatbots. However, AI isn't just limited to voice assistants, it's turning tables in other domains and industries as well. Several restaurants for instance have bots for room service, serving food and carrying luggage. Let's take a look at some interesting and mind-bending stats and facts on this prevalent technology to give you a better idea of the direction the market is headed. He said that at a town hall event in San Francisco in January last year and he couldn't be more right. Today we have robots to help differently-abled people dress up.

The modern world is changing more and more quickly with each passing year. If you don't pay attention to new changes or keep up the pace, it's easy to fall behind the times (and the market) while other companies beat you to the punch. To keep abreast of current changes – at least at a level of basic understanding. Adding to that, if you can't understand the buzzwords others are using in conversation, it's much harder to look smart while participating in that conversation. In this post, we're going to give you the 10 IT & technology buzzwords you won't be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. The first in our definitive rundown of tech buzzwords 2020 is computer vision. Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. In a computing context, 'vision' involves systems that can identify items, places, objects, or even humans from visuals mediums – images caught by a camera or sensor.

These are just a few of the things that come to mind when we think about artificial intelligence (AI). AI is the buzzword that seems to be on everyone's lips. To some, AI signals a utopian future, while others foresee a dystopian nightmare coming to control us all. But before you try to ignore AI or run for the hills for fear your job is on the line, let's dig a little deeper. Fact: AI is transforming business operations and increasingly becoming our interface with technology.

The ADAPT Centre at Trinity College Dublin has received funding to hire a start-up founder to spin-out the business start-up Darwin & Goliath http://darwingoliath.com in the field of recommendations-as-a-service. The position is to be filled with a product manager, machine-learning engineer, software engineer, or software architect. The person is expected to work together very closely with the project lead and Business Administrator. Both will be responsible for developing a recommender-system as-a-service that uses unique machine-learning technology, which is based on the research of Professor Joeran Beel who is the project lead. This position is flexible in the responsibilities and open to focus more on either software engineering / machine-learning or on the architectural and product management part.

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Instead, it relies primarily on a technique called federated learning, Apple's head of privacy, Julien Freudiger, told an audience at the Neural Processing Information Systems conference on December 8. Federated learning is a privacy-preserving machine-learning method that was first introduced by Google in 2017. It allows Apple to train different copies of a speaker recognition model across all its users' devices, using only the audio data available locally. It then sends just the updated models back to a central server to be combined into a master model. In this way, raw audio of users' Siri requests never leaves their iPhones and iPads, but the assistant continuously gets better at identifying the right speaker.