Rembrandt van Rijn was one of the most influential classical painters, and the world lost his amazing talent when he died nearly four centuries ago. And yet his newest masterpiece was unveiled only yesterday. By scanning and analyzing Rembrandt's works, a computer was able to create a new painting in near-perfect mimicry of Rembrandt's style. It has been named, appropriately, 'The Next Rembrandt'. The Next Rembrandt project began when, in October 2014, the Dutch financial institution ING spoke with J. Walter Thompson Amsterdam advertising agency about creating a project that would show innovation in Dutch art.

Google's AlphaGo AI swept all of its five matches against European Go champion Fan Hui. Now, the team behind the deep-learning program is preparing for AlphaGo's upcoming match against world champion Lee Sedol in March. After soundly beating the reigning European Go champion, Google's AI computer is looking to go head-to-head with one of the best players in the world in a match set to be held in South Korea in March. In a study featured in the journal Nature, researchers from Google's London-based AI company DeepMind described how their AlphaGo program was able to win all five of its Go matches against the European champion Fan Hui. Go, a board game that was invented in China some 2,500 years ago, involves having players alternately place white and black "stones" on a grid consisting of 19 vertical and 19 horizontal lines.

Rembrandt may have died in 1669 but his artistic legacy lives on thanks in part to a new piece of work created with computer data, instead of the artist's hands. Revealed in the Netherlands, 'The Next Rembrandt' is the result of an 18-month project undertaken by a group of art historians, along with software developers, scientists, engineers and data analysts – not the usual team of artists for portraits work. This year's edition of TNW Conference in Amsterdam includes some of the biggest names in tech. The team worked tirelessly to anyalyze all known works of Rembrandt, which amounts to over 300 paintings, using high resolution 3D scans to capture every little detail and create an algorithm that would eventually be able to accurately recreate his style. That data was then fed to a 3D printer, which recreated the painting using 13 layers of paint-based UV ink.

A'new' Rembrandt painting has been revealed - 400 years after the artist's death. Researchers taught an AI to paint exactly like the Dutch painter by analysing 346 of Rembrandt's paintings. The work of art took almost 18 months to complete, consists of 148 billion pixels and was printed in 3D to allow to computer to even replicate the brush strokes. The painting'The Next Rembrandt' is being unveiled at Galerie Looiersgracht60 in Amsterdam, The Netherlands, 05 April 2016. The painting was created by scientists and technicians based on the historical data of all 346 paintings by Rembrandt.

The words'private banking' can evoke some stereotypical images, like leather-backed chairs in rooms with wood-panelled walls and bookshelves filled with expensive tomes or expensively attired Swiss bankers parcelling out bits of investment wisdom over snifters of brandy and cigars. One item not typically included? The rise and rise of new technology is upending many assumptions in finance. Technologically savvy companies are already competing fiercely with banks in areas such as retail banking and small company loans. They now see private banking as their next hunting ground. Automated investment programmes, often called robo-advisers, use algorithms to arrange individual investment portfolios based upon stated preferences – for a fraction of the fees charged by private banks.

Rembrandt may have died in 1669 but his artistic legacy lives on thanks in part to a new piece of work created with computer data, instead of the artist's hands. Revealed in the Netherlands, 'The Next Rembrandt' is the result of an 18-month project undertaken by a group of art historians, along with software developers, scientists, engineers and data analysts – not the usual team of artists for portraits work. Get your company on stage at TNW Europe. The team worked tirelessly to anyalyze all known works of Rembrandt, which amounts to over 300 paintings, using high resolution 3D scans to capture every little detail and create an algorithm that would eventually be able to accurately recreate his style. That data was then fed to a 3D printer, which recreated the painting using 13 layers of paint-based UV ink.

Imagine you could use a standard 3D printer to create your next robotic assistant. Just snap in a motor and battery, and it's ready to go. That's precisely the scenario made possible by a new 3D printing technique developed at MIT. Liquids have long been a challenge for 3D printing, and they're necessary for hydraulic devices like moving robots. On Wednesday, researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) announced what they call the first-ever technique for 3D printing robots that can print solid and liquid materials at the same time. That means it's possible to print dynamic robots in a single step, using a commercially available 3D printer.

No one's quite sure on just when people will be able to summon a self-driving car and go wherever they need to go. Too many variables--how the technology advances, how regulations are developed, what consumer acceptance looks like--remain for anyone to say, but that's not keeping Volvo from offering a date: 2020. The Swedes synonymous with safety want to eliminate all traffic deaths and serious injuries in their cars by the end of the decade. Because airbags, automatic braking and other active tech can only do so much, Volvo plans to use automated driving to do it. Next year, it plans to see how that tech works in the real world when it puts 100 customers in robocars for an extended beta test in Gothenburg, Sweden.

Andrej Karpathy is holding a classroom full of Stanford grad students and undergrads rapt with his description of the pros and cons of different kinds of algorithms used in training a neural network to recognize objects in an image. Suddenly, from the middle of the room, the distinctive artificial voice of Apple's Siri pipes up: "I'm not sure what you said." Siri, probably activated accidentally, draws big laughs. In this room, where students are deep into the intricacies of learning how to make software that better understands humans and our data, the error message is a reminder of the technology's exploding real-world applications. As a consequence, the students in Karpathy's class are likely to graduate into a favorable job market.

Are we headed for a future of robot lawyers, online judges, mechanical mediators, cyborg litigators and android attorneys? Reading some recent media headlines, you would think so. Last year in Dublin, a conference warned that lawyers must'cut fees or face a future led by robots'. In fact, headlines have been predicting this onslaught of the machines ever since IBM's Watson (a question-answering supercomputer) beat two human Jeopardy! But it's not just the press – many practitioners see the same future.