The phrase'hype cycle' could have been invented for the mobile marketing industry. Typically, a new tech's day in the sun lasts anything from six – 12 months, before the next big thing comes along. Think about Native, Wearables, Programmatic, Augmented Reality and Virtual Reality. All came, all are still very much around, but each has been superseded by the next. And if VR was last year's big thing, AI (Artificial Intelligence) is this year's, infiltrating an increasing number of aspects of our daily lives.

In the late 19th century, the Industrial Revolution introduced complicated farm machinery that changed the way farmers planted, cultivated and harvested their crops. These machines meant fewer farm hands were needed, but it created jobs for people to build and repair farm equipment. The improved benefits of utilizing farm machinery impacted the quality of life, it produced food faster, and it created jobs and a new life for farmers. Machine learning is today's Industrial Revolution. TV shows and movies currently portray machine learning as this creepy, self-aware, futuristic technology that takes over humans' jobs, but these examples do not properly show the real advancements of these cognitive systems.

The "Queen of Clean" comedy Chonda Pierce was under fire earlier this year when she agreed to perform at President Donald Trump's inauguration. The comedian is sticking to her decision adding she has found it difficult lately to trust the media's reporting on his presidency. She also spoke to Fox News about her upcoming film "Enough," where she tackles topics like delving into the world of online dating after losing her husband in 2014. Fox News: You received a lot of backlash over performing at President Trump's inauguration. Looking back, would you do it again?

SAN FRANCISCO -- Google is making changes to its search algorithm to promote more authoritative content and demote "low quality" content such as Holocaust denials. The Internet giant is responding to growing pressure to make sure the top answers it provides to people's search queries are accurate and do not contribute to the spread of misinformation, conspiracy theories, hoaxes and offensive content on the Web. People searching Google will be able to more easily flag search results that are "unexpected, inaccurate or offensive," says Ben Gomes, vice president of engineering for Google Search. And search quality raters have received new guidance on how to spot and report this content, too. Features designed to get people answers more quickly and on more platforms such as smart speaker Google Home are contributing to the problem.

Google announced its first attempt to combat the circulation of "fake news" on its search engine with new tools allowing users to report misleading or offensive content, and a pledge to improve results generated by its algorithm. The technology company said it would allow people to complain about misleading, inaccurate or hateful content in its autocomplete function, which pops up to suggest searches based on the first few characters typed. It also said it would refine its search engine to "surface more authoritative pages and demote low-quality content" – and acknowledged for the first time that it had taken the measures to combat the threat of fake news. Ben Gomes, vice-president of engineering, Google Search, said in a blogpost: "In a world where tens of thousands of pages are coming online every minute of every day, there are new ways that people try to game the system,. The most high-profile of these issues is the phenomenon of'fake news', where content on the web has contributed to the spread of blatantly misleading, low quality, offensive, or downright false information."

Vizio may have been knocked by LeEco after its $2 billion buyout deal was cancelled, but the company's not going to fall into a grief-stricken funk. The home theater business has announced a new raft of soundbars that work with Google Assistant and come with Chromecast built in. Leading the pack is the SmartCast 36", which packs 5.1 wireless sound, the promise of crystal-clear dialog and a wireless subwoofer. It's on sale right now, setting you back $250, while smaller options in the same range will cost less, obviously. The company has also wheeled out an addition to its Sonos-troubling Crave speakers in the form of the Crave Go.

LONDON Jimmy Wales, the founder of online encyclopedia Wikipedia, has launched a website aimed at countering the spread of fake news by bringing together professional journalists and a community of volunteers and supporters to produce news articles.

As a designer, you will be facing more demands and opportunities to work with digital systems that embody machine learning. To have your say about how best to use it, you need a good understanding about its applications and related design patterns. This article illustrates the power of machine learning through the applications of detection, prediction and generation. It gives six reasons why machine learning makes products and services better and introduces four design patterns relevant to such applications. To help you get started, I have included two non-technical questions that will help with assessing whether your task is ready to be learned by a machine. We are expecting a great many things to happen once the big data deluge has been funnelled into a nurturing stream of bits. Data can be used in many ways. One is to build smart products, and another is to make better design and business decisions. The latter also, ultimately, trickle into products. Machine learning is a very promising approach radically shaping future product and service development. Machine learning is a branch of artificial intelligence. It employs many methods: Deep learning and neural networks are two well-known instances.

Many people are unsure about exactly what machine learning is. But the reality is that it is already part of everyday life. A form of artificial intelligence, it allows computers to learn from examples rather than having to follow step-by-step instructions. The Royal Society believes it will have an increasing impact on people's lives and is calling for more research, to ensure the UK makes the most of opportunities. Machine learning is already powering systems from the seemingly mundane to the life-changing.

Spotify is on platforms ranging to your desktop to your speakers, but could it head to your wristwatch next? According to three recent job postings spotted by technologist Dave Zatz, Spotify may be looking into making its own wearable that would prominently feature Spotify functionality. In a since taken down listing for a senior hardware product manager (read the cached version here), Spotify wanted candidates who'd be able to develop products that could "become new Spotify business lines," comparable to the "Pebble Watch, Amazon Echo and Snap Spectacles." Other notable listings that Zatz cites include two advanced postings for a natural language understanding engineer and voice product manager -- both heavily emphasize voice recognition and the second product manager listing also cites wearables. For Spotify, the potential move seemingly comes out of left field.