This Map Claims to Predict Where Crime Will Happen in London
Researchers at Dataiku have crunched open data from the Greater London police and created a map that claims to predict the number and type of crime most likely to happen in different parts of the capital, month by month. Dataiku’s Nicolas Gakrelidz explains his methods in an engrossing blog post.
Is this the start of the automation wave that will wreak havoc on jobs in the fast-food industry? Hard to tell, but Miso Robotics' kitchen assistant Flippy certainly is a wonder to behold.
Alphabet-owned (but rumours have it that it'll be sold soon) company Boston Dynamics reveals footage of its latest 2-metre-tall, 120-cm-jumping, bad-ass robot, Handle.
US Military's advanced research lab DARPA weighs in on the present and future of Artificial Intelligence , and this video is well worth a watch (even if it is 16-minute-long).
Developer Onnowhere has created Albert AI, a self-learning chatbot born and bred in the virtual world of videogame Minecraft. Open-world games such as Minecraft are increasingly used as platforms to train AI agents— even tech giant Microsoft launched a Minecraft-based initiative last year. If you want to play around with Albert, you can download it here.
IBM's Shivkumar Kalyanaraman on Cognitive IoT and magic mirrors.
Artificial Intelligence and its economic impact was a major topic at this year's World Economic Forum in Davos. Google co-founder Sergey Brin also weighed in on AI, in a 30-minute interview ripe with insights on where Alphabet is going.
Tesla Motor and SpaceX founder Elon Musk suggests that human merge their brains with Artificial Intelligence, in this interview with Y Combinator. The full Q&A can be watched here.
Movement of people is a hotly debated issue today. To put things in perspective, data visualisation company Metrocosm created a video showing the estimated net immigration by origin and destination country between 2010 and 2015, as per UN data. You can also check the complete, interactive map here.
Watch researchers from the Alan Turing Institute explain what data science is. (Spoiler: they absolutely nail it.)
Researchers in Finland have combined EEG sensors with machine learning to monitor the brain signals of people reading Wikipedia articles. In this way, they managed to identify which concepts readers found particularly interesting.
A day in the life of a data artist. Data journalist and visualisation expert David McCandless shows how to transform huge datasets into fascinating stories.
New research submitted to Cornell University shows how deep neural networks can create detailed 3D models of someone's face by simply analysing a headshot picture of the person.
How do you spot a great scientific mind? It is usually thought that talented scientists emerge at a young age. But this video from Nature explains—with data—how that is not always true.
Computer scientists at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) have developed a machine learning algorithm able to generate videos starting from a single still frame. Watch how it was possible. Read More
City University lecturer Tillman Weyde explains how Big Data is changing music
Google DeepMind created a "differentiable neural computer" able to navigate the London Underground and interpret family trees thanks to a combination of deep learning and a computerised short-term memory.
Researchers at SONY CSL Research Laboratory have created FlowMachines : an AI able to write songs in the style of famous musicians. This song, called "Daddy's Car", was composed in the manner of the Beatles, and it will be included in a AI-composed album to be released in 2017.
Watch Kaggle's CEO Anthony Goldbloom explain why some of us will lose their jobs to machines, while some other jobs are likely to remain "for humans only."
Watch how data visualisation artist Marcin Ignac transformed his Dropbox folder into a video-game-like journey. Marcin represented his files as blocks of different colours and dimensions, depending on type and size.