Every few years a new movement becomes transformational in the technology industry driving a brand new generation of startups and new businesses. Some of those movements can be technological in nature like social, mobile, cloud or IOT while others like crowdsourcing or the gig economy are more transformational from the social standpoint. Each one of those movements creates many companies that attempt to leverage its principles in a specific domain. How many "Facebook for X", "AWS for X" or "Uber for X" have we seen in the last few years. These days, the new Machine learning and artificial intelligence are capturing the imagination of the technology industry.

Straight from the horse's mouth, this essential guide is written by the language's creator.

Speechmatics Auto-Auto responds to market demands for new languages. Speechmatics' recent release of the Auto-Auto framework continues to create exciting new capability for the Speechmatics platform, delivering German to our line-up of new languages. Neil MacDonald, Chief Revenue Officer, commented "German represents the latest in a continuous and accelerating delivery roadmap of language capability. This has only been made possible through our unique Machine Learning training platform that delivers new languages, revisions and specific use-case variants, using minimal data in as little as 10 days." In laying out our future roadmap plans, we are now allowing our customers and partners to help us decide which languages to develop next.

Nearly one in four of the UK adult population – 12.6m adults – lacks key basic digital skills, according to GO ON UK. This gap has many causes and implications, but high on the list is jobs, because those who lack digital skills are more likely to be unemployed. This is more significant to young people, given that the youth unemployment rate is 14.4% and people aged 16 to 24 are three times more likely to be out of work than the rest of the working population. It is estimated that over 4.4 million IT jobs will be created around Big Data, but only a third of these new jobs will be filled. At Acorn Aspirations we strongly believe that if young people are inspired to create technology from an early age, they will be better equipped to face the constantly changing digital world we live in and contribute as creators of technology and change-makers to solve the most pressing local and global problems.

It's your nighttime routine: You drop your phone onto the nightstand charging pad, and it asks about your day. You tell it, talking to the virtual personal assistant just like you'd talk to a friend. Your phone's artificial intelligence knows you almost as well as you know yourself (maybe even better). So when it suggests ways to get through tomorrow's calendar, you trust its advice. AI is practically everywhere, and getting smarter all the time.

The event featured a panel of three expert speakers who discussed the power of Machine Learning and Artificial Intelligence in addressing real-world business challenges – followed by a live Q&A with attendees. By Design' – a partnership between TORI Global and Accion Labs that has transformed and refreshed TORI's Digital offerings. The event's insight, complemented by additional Q&A material and the latest edition of TORI's Perspectives Magazine, was hosted in a powerful and easy-to-use branded player. This was then sent through to a global audience after the event – enabling TORI to stretch the experience, and continuing the conversation well beyond the live webinar itself. Click here to learn more about ditto's solutions for webinars and other events – both digital and physical.

Nearly a month ago, Manan Vyas told me that he thinks a revolution is in the offing – skills inequality, ownership inequality, and ultimately, income inequality, is increasing. To make matters worse, technology (especially those in third platform fields such as artificial intelligence and big data analytics) is developing at a remarkable pace. This has empowered a few developers and shareholders with a specific and dare I say, a'privileged', background. Though the world's gini coefficient has not steeply increased over the last couple of years, the signs are all there. Foxconn recently announced that it was planning to fire 60,000 workers as their role could now be done by robots.

Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production. Machine learning's core technologies align well with the complex problems manufacturers face daily. From striving to keep supply chains operating efficiently to producing customised, built- to-order products on time, machine learning algorithms have the potential to bring greater predictive accuracy to every phase of production. Many of the algorithms being developed are iterative, designed to learn continually and seek optimised outcomes. These algorithms iterate in milliseconds, enabling manufacturers to seek optimized outcomes in minutes versus months.

In April, a group of Finnish farmers outfitted a spindly black drone with a remote-controlled chainsaw and filmed it decapitating snowmen. They called it "Killer Drone." More formally, it was a DJI S1000. This spring, marine biologists flew a drone over the Sea of Cortez to capture samples of the fluid sprayed from the blowholes of blue whales. It was a DJI Inspire 1.

Intel wants to take on Google's Tensor Processing Unit and Nvidia's GPUs in machine learning computing with improvements to its Xeon Phi mega-chips. The company will add new features to Xeon Phi to tune it for machine learning, said Nidhi Chappell, director of machine learning at Intel. Machine learning, a trendy technology, allows software to be trained to do tasks like image recognition or data analysis more efficiently. Intel didn't disclose when the new features will be added, but the next version of Xeon Phi will come by 2018. Intel's already behind chip rivals in machine learning, so it may have to speed up the next Xeon Phi release.