As the number of people who work on a volunteer basis or try to contribute for good causes increase in Turkey, we look to the future with confidence. Furthermore, if these volunteers comprise of scientists, academicians and youths, supporting such formations mean paving the way of social developments. The Deep Learning Turkey community, which teaches and guides high school students and undergraduates, turning artificial intelligence into a social responsibility project, has reached out to thousands of youths although it was established only in August of last year. The community helps youths who are interested in artificial intelligence and want to have a career in this field as well as providing information sharing on an open platform for scientists. Deep Learning Turkey is the biggest and the most effective artificial intelligence community in Turkey.

Check out the tutorial course "Model serving and management at scale using open source tools" at the Strata Data Conference in New York City, September 11-13, 2018. Hurry--best price ends June 15. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. With public figures like Intel's CEO stating that every company needs a machine learning strategy or risks being left behind, it's just a matter of time before machine learning enters your organization, too--if it hasn't already. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

The US dollar had an event-heavy week to start off June. The US dollar surged early last week as the uncertainty about the Euro arose due to political events happened in Europe and the volatility in Asian markets driven by threats of an immediate trade war between the US and China. On Thursday (May 31), the Euro rebounded as Italy's politicians seemed to have found a resolution to their struggles in forming a new government. In the same day, the Trump administration announced it was putting tariffs on steel and aluminum imports from Canada, Mexico and Europe, strengthening fears over the trade war and making the US dollar suffer a slump. The US labor indicators highlighted the fundamental strength of the country's economy and made the US dollar extend gains amid the Europe geopolitical turmoil.

Iskender Dirik, CEO of Microsoft ScaleUp in Berlin, is tasked with nurturing continental Europe's best startups. He is also a venture partner at EQT Ventures, one of the largest venture capital funds in Europe. In addition, this tech trailblazer and AI enthusiast has founded several startups, built up big data and machine-learning technologies for large corporations, and advised Germany's DAX companies in the field of online marketing. In this interview with CMO.com, Dirik discusses some business issues he expects AI to solve, how AI will be a job creator, and a trio of other emerging technologies he's watching closely. CMO.com: Iskender, you published an infographic entitled "The Future of AI Transformed Marketing" (PDF).

Thank you, Stephen [Carter], for the introduction. Your work as a board member at BEIS has been of huge value, as has your contribution to this industry and many other spheres of public life. It is fantastic to be here at the world's largest AI Summit for businesses, which now in its third year is going from strength to strength. Quite apart from the range and reputation of our sponsors, the 10,000 visitors expected over the two days is testament to just how engaged and passionate the AI community is. Almost 70 years ago to this day, in July 1948, just 15 miles upriver from here, a document (I have a facsimile here to show you) landed on the desk of the National Physical Laboratory – then, as today, the UK government's leading research lab – that would be my nomination for the greatest research report ever written.

Tech giants are pouring money into artificial intelligence. Baidu and Google spent between $20 and $30 billion on AI in 2016 alone, according to research from McKinsey. In Google's case, a portion of that investment went to AI centers in China and France, and the Mountain View company shows no signs of slowing down. Today, Google announced its next AI research center will be in Accra, Ghana. "In recent years, we've … witnessed an increasing interest in machine learning research across the continent," senior Google AI fellow Jeff Dean and staff research scientist Moustapha Cisse wrote in a blog post.

AI guides the computers that drive the company's own data centers, helping decide which virtual server to use at any given point in order to complete a task, the company says. That allows it to process cloud tasks more efficiently than a traditional on-premises data center, simply because it's only using the power it needs to get a job done, says Liz Willmott, carbon program lead at Microsoft. Aside from the sheer energy demands of server and computing hardware, cloud storage centers come with hefty cooling costs. Microsoft says that its cloud facilities have been 100% carbon neutral since 2012, and the company has committed to using more renewable energy sources like wind, hydropower, and solar. But it's also been touting the benefits of software and AI for further cutting electricity use.

Car makers have been warned of the dangers of suggesting vehicles with some automated features can drive themselves. Experts say manufacturers are lulling drivers into a false sense of security by using terms such as'autonomous' and'autopilot' in their advertising. A report says it poses a danger as drivers become over-reliant on the technology and lose concentration at the wheel. Modern vehicles increasingly offer partly automated features such as keeping the car within its lane, speed controls or emergency braking. However, experts say fully self-driving cars are still a long way off in the UK.

It was 1995, the year that Craigslist, eBay and Expedia were born. The age of the internet had arrived, and we at Forbes magazine, all too aware of academics' complaints about cashing out for research, made a prediction: Elsevier, the largest publisher of scientific journals, would be its "first victim." Yet recent years have seen Elsevier profits swell to more than £900 million closing in on a 40% profit margin. It seems to be--as the Financial Times claimed in 2015--"the business the internet could not kill." This hasn't stopped resentment from brewing as journal prices continue to rise above inflation.

Last summer, a sign appeared on the door to a stuffy, windowless room at the office of Manhattan artificial-intelligence startup Clarifai. "Chamber of secrets," it read, according to three people who saw it. The notice was a joking reference to how the small team working inside was not permitted to discuss its work with others at Clarifai. Former and current employees say the group was working on a controversial Pentagon project using machine-learning algorithms to interpret drone-surveillance imagery--and that Clarifai's secrets were less safe than they should have been. A lawsuit filed by former employee Amy Liu this month alleges that Clarifai's computer systems were compromised by one or more people in Russia, potentially exposing technology used by the US military to an adversary.