VW's Hofmann: Embrace machine learning or lose competitiveness (Photo: Claus Dick) HANOVER –Volkswagen CIO Martin Hofmann believes machine learning is coming into its own as a means to achieve significant digital innovation across all business areas. "Machine learning is no longer science fiction," Hofmann told the automotiveIT Congress. The VW CIO also warned that automotive companies need to embrace artificial intelligence and the machine-learning part of the new technology. "For companies that don't do anything today, the race is run," he warned. Hofmann said interest in machine learning has been boosted by a massive increase in automotive data, coupled with a big increase in computing power available today. The growth of open-source software development also is helping the implementation of machine learning, he said.

Google has announced a new location-sharing feature for Maps, which could prove both useful and concerning. The app will allow you to reveal your real-time location to your contacts, making it easier to meet up. You can share your whereabouts by sending a link – which is generated when you enable location-sharing by tapping the blue dot that represents where you are – to your contacts. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Teachers should use teaching methods that utilize technology in the most efficient way. During action research a motivating learning environment was developed, with a digital learning game and the flipped classroom pedagogy. The target group was first year pupils in a primary school. There were seventeen pupils in the class: nine of them were girls and eight were boys. The experiment was held during five weeks and there was one lesson per week.

Artificial Intelligence could almost double the UK's economic growth rate and boost the country's labour productivity by up to 40 per cent by 2035, according to a research report from Accenture. The market report, 'Why Artificial Intelligence is the Future of Growth,' suggests AI is poised to fundamentally change the nature of work and create an entirely new level of interaction between man and machine, both in the UK, elsewhere in the EU and further afield. The net result could be a dramatically more productive economy in the UK, with the adoption of artificial intelligence technologies by the private and public sectors almost doubling the country's economic growth rate and thereby adding an extraordinary £650 billion to the UK economy by 2035. "AI is poised to transform business in ways we've not seen since the impact of computer technology in the late 20th century," explained Paul Daugherty, Chief Technology Officer at Accenture. "The combinatorial effect of AI, cloud, sophisticated analytics and other technologies is already starting to change how work is done by humans and computers, and how organisations interact with consumers in startling ways.

My mother waited two months for her Amazon Echo to arrive. Then, she waited again -- leaving it in the box until I came to help her install it. Any device that requires vocal instructions makes my mother skeptical. She has bad memories of Siri. "She could not understand me," my mom told me.

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About Matthew: Matthew Mayo is a Data Scientist and the Deputy Editor of KDnuggets, as well as a machine learning aficionado and an all-around data enthusiast. Matthew holds a Master's degree in Computer Science and a graduate diploma in Data Mining. This post originally appeared on the KDNuggets blog. What is automated machine learning (AutoML)? What are some of the AutoML tools that are available? What does its future hold?

There has been a large resurgence of interest in generative models recently (see this blog post by OpenAI for example). These are models that can learn to create data that is similar to data that we give them. The intuition behind this is that if we can get a model to write high-quality news articles for example, then it must have also learned a lot about news articles in general. Or in other words, the model should also have a good internal representation of news articles. We can then hopefully use this representation to help us with other related tasks, such as classifying news articles by topic.

A four-year-old boy saved his mother's life by using her thumb to unlock her iPhone and then asking it to call 999. Roman, who lives in Kenley, Croydon, south London, used the phone's voice control - Siri - to call emergency services. Police and paramedics were sent to the home and were able to give live-saving first aid to his mother. During the 999 call Roman told the operator he thought his mum was dead because "she's closing her eyes and she's not breathing". Roman, his twin brother and a younger brother were all in the house at the time.

What was your path toward learning ML? What books did you enjoy most while learning ML? What were the blind alleys? In high school, I had a lot of different interests, most of which weren't related to math or science. I made up my own language with a phonetic alphabet, I took a lot of creative writing and literature classes, etc.