Facebook have kick started a trend of AI's building more AI's and it's only going to accelerate Deep Neural Networks (DNNs) are taking over the internet. DNNs, unlike their more basic pattern matching Machine Learning cousins are able to learn and replicate human like tasks by analysing vast amounts of digital data and these artificially intelligent systems are injecting online services with a power that just wasn't viable in years past. They're identifying faces in photos, powering search, pulling meaning from videos, applying meaning to language and translating complex conversations from one language to another. But what's less discussed is how the giants of the Internet go about building these rather remarkable engines of AI. Companies like Google and Facebook pay top dollar for some really smart people – only a few hundred souls on Earth have the talent and the training needed to really push the boundaries of Deep Learning and paying for these top minds is a lot like paying for an NFL quarterback but more expensive – Google reportedly bought DeepMind for $600 million not for it's technology but for its twelve strong team of researchers.

Kristen Stewart, the Hollywood actress perhaps best known for her role in the "Twilight" movies, has co-authored a new research paper that discusses the use of artificial intelligence technology, to create art in her screenwriting debut film, "Come Swim." The 17-minute film, starring Josh Kaye and Sydney Lopez, has been written and directed by Stewart. The movie is set to feature in the Sundance Film Festival 2017 that kicked off Thursday. It was inspired by one of Stewart's own paintings that itself originated from one of her poems. "It's basically about that moment when you wake up and you get dressed and you realize ... I'm not sad anymore. I've been dropped back into everyone else's reality and now I can live again," Stewart told the New York Times Magazine while describing the concept of the film.

Avanti Recruitment is working with a multinational technology company in London to recruit a hands-on Data Science Manager to lead and manage their Data Science team working on projects for the financial services industry. We are looking for an experienced Manager who has progressed through the ranks as a Data Scientist working with a range of Machine Learning techniques. You will manage a small team of two Data Scientists and will be responsible for the output of the team and will also be involved hands-on in building models and providing technical leadership. You will be working on petabytes of complex data in a new area for exploration with the opportunity to make a huge impact in the sector. They work primarily with financial data but prior experience in the Fintech sector is not necessary as long as you have strong skills in managing a team and working with Machine Learning and statistical techniques to build predictive models.

We are living in the era of technological transformation that is bringing about changes in the way we take decisions. As big data is becoming pervasive across all the industries, use of machines to find patterns and predict future is gaining a lot of prominence in the market.

We can use them to sing, shout and whisper sweet nothings. We can use them to activate gadgets and prove who we are to banks. And now researchers believe they can also reveal whether we're getting ill. A US start-up called Canary Speech is developing a way of analysing conversations using machine learning to test for a number of neurological and cognitive diseases, ranging from Parkinson's to dementia. The project was born out of a painful personal experience for the firm's co-founder Henry O'Connell.

Legal tech start-up, Juro, this week announced it had received significant funding to help grow its AI-powered contract system (see story here). Artificial Lawyer caught up with co-founder and former Freshfields lawyer, Richard Mabey to find out more. We discussed how Juro works, the difference between selling legal tech to lawyers and non-lawyers and where the UK-based company is headed. First, congratulations on the $750k in seed funding for Juro, that is a great sign of confidence from what are experienced tech investors. Can you set out for the readers broadly what Juro does?

If your job involves inputting reams of data for a company, you might want to think about retraining in a more specialised field. After industrial robots and international trade put paid to many manufacturing jobs in the West, millions of white-collar workers could now be under threat from new technology such as artificial intelligence (AI). The issue of how best to face up to this "Fourth Industrial Revolution" has been exercising politicians and business leaders this week at the World Economic Forum in the Swiss Alpine town of Davos. The progress of artificial intelligence has been "staggering" in recent years, said Vishal Sikka, chief executive of Indian IT services giant Infosys. "But in many ways we are at the beginning of this evolution and we face the prospect of leaving a larger part of humanity behind than in any other (industrial) advance," he warned.

How Millennials and Baby Boomers Consume User-Generated Content [Infographic] 47% of millennials trust user-generated content, vs. 36% of their baby boomer counterparts. However, each generation shared a relative distrust of content created by brands. This infographic shows the generation gap of UGC. Survey: 60 percent of voice users want more answers and fewer search results People who use voice search -- the majority of whom prefer to do so in private vs. public -- use it because it's fast, doesn't require reading, and gives you fewer answers to sort through. What does voice search mean for the future of search marketing?

Fears that accelerating automation is going to eat its lion's share of jobs continue to plague corporate sectors. However, new research from McKinsey Global Institute may talk folks afflicted with automation phobias down from the ledge. The research group says that although half of today's work activities could be automated, it may not happen until 2055. Where the statistic falls along the S curve depends on various factors, such as breakthroughs in artificial intelligence and economic conditions, says Michael Chui, a McKinsey Global Institute partner and an author of the report. Chuiand other researchers analyzed 800 occupations and 2,000 job tasks.

Fears that accelerating automation is going to eat its lion's share of jobs continue to plague corporate sectors. However, new research from McKinsey Global Institute may talk folks afflicted with automation phobias down from the ledge. The research group says that although half of today's work activities could be automated, it may not happen until 2055. Where the statistic falls along the S curve depends on various factors, such as breakthroughs in artificial intelligence and economic conditions, says Michael Chui, a McKinsey Global Institute partner and an author of the report. Chuiand other researchers analyzed 800 occupations and 2,000 job tasks.