Google just announced significant enhancements to its machine learning services (MLaaS), attempting to close the significant competitive gap that Microsoft has enjoyed, in my opinion, for the last year or so. Not to be left out, Amazon.com AWS announced the company's own new MLaaS tools and services at AWS Re:Invent last November, trying to court AI application developers to build their smart apps on the AWS cloud. MLaaS is still in its infancy today, but it may become a dominant AI platform for enterprises who would prefer to leave all the messy details to someone else, and rent AI services by the click. This article summarizes each company's strategies and tactics and tries to size up the winners and losers.

For a species that's conquered Earth and traveled through space and invented the Slapchop, we humans sure are insecure when it comes to technology. Our greatest fear: the singularity, when the abilities of AI and robots surpass those of humans, growing so advanced that civilization is forced to reboot as humanity spirals into existential dread. Or worse, the machines turn us into batteries, à la The Matrix. As fun as that all sounds, UC Berkeley roboticist Ken Goldberg thinks the singularity is bunk. "I think it's counterproductive," he says.

Google just announced significant enhancements to its machine learning services (MLaaS), attempting to close the significant competitive gap that Microsoft has enjoyed, in my opinion, for the last year or so. Not to be left out, Amazon.com AWS announced the company's own new MLaaS tools and services at AWS Re:Invent last November, trying to court AI application developers to build their smart apps on the AWS cloud. MLaaS is still in its infancy today, but it may become a dominant AI platform for enterprises who would prefer to leave all the messy details to someone else, and rent AI services by the click. This article summarizes each company's strategies and tactics, and tries to size up the winners and losers.

MeetAI London and NeurotechX want to join efforts and bring together a selected panel of experts in diverse aspects of machine learning and neuroscience. An open discussion centred around how this two fields work together, the current achievements, and the future goals and limitations. Neuroscience and artificial intelligence are heavily related and both are living a golden age. Machine learning has been inspired by the nervous systems since its first steps. Terms such as neural networks or reinforcement learning have been borrowed from natural sciences and translated into silicon.

The Future is Quantum with Dr. Krysta Svore If someone mentions quantum computing, and you find yourself outwardly nodding your head, but secretly shaking it, you're in good company: some of the world's smartest people admit they don't really understand it either. Fortunately, some of the world's other smartest people, like Dr. Krysta Svore, Principal Research Manager of the Microsoft Quantum – or QuArC – group at Microsoft Research in Redmond, actually DO understand quantum computing, and are working hard to make it a reality. Today, Dr. Svore shares her passion for quantum algorithms and their potential to solve some of the world's biggest problems, explains why Microsoft's topological quantum bit – or qubit – is a game changer for quantum computing, and assures us that, although qubits live in dilution refrigerators at temperatures near absolute zero, quantum researchers can still sit in the comfort of their offices and work with the computer programmer's equivalent of Schroedinger's Cat. Krysta Svore: The problems we're looking at solving with a quantum computer are the problems that, today, require age-of-the-universe time scales. I'm not going to be around for that solution. Some of these problems literally require billions and billions and billions of years to solve. And on a quantum computer, what we've shown in some recent research, is that you can solve some of these problems in a matter of say, weeks, days, hours, seconds. I'll be around for those solutions. A show that brings you closer to the cutting edge of technology research and the scientists behind it. If someone mentions quantum computing and you find yourself outwardly nodding your head but secretly shaking it, you're in good company. Some of the world's smartest people admit they don't really understand it either. Fortunately, some of the world's other smartest people, like Dr. Krysta Svore, Principle Research Manager of the Microsoft Quantum, or QuArC, Group at Microsoft Research in Redmond, actually do understand quantum computing and are working hard to make it a reality. Today, Dr. Svore shares her passion for quantum algorithms and their potential to solve some of the world's biggest problems, explains why Microsoft's topological quantum bit – or qubit – is a game-changer for quantum computing and assures us that although qubits live in dilution refrigerators at temperatures near absolute zero, quantum researchers can still sit in the comfort of their offices and work with the computer programmers equivalent of Schrödinger's Cat. Your research revolves around quantum algorithms.

The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer -- think of Mary Shelley's Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed time and again to make machines act and think like the human brain. But this time could be different because of a major breakthrough -- deep learning, where data structures are set up like the brain's neural network to let computers learn on their own. Together with advances in computing power and scale, AI is making big strides today like never before. Frank Chen, a partner specializing in AI at top venture capital firm Andreessen Horowitz, makes a case that AI could be entering a golden age.

The engineer at the heart of the upcoming Waymo vs Uber trial is facing dramatic new allegations of commercial wrongdoing, this time from a former nanny. Erika Wong, who says she cared for Anthony Levandowski's two children from December 2016 to June 2017, filed a lawsuit in California this month accusing him of breaking a long list of employment laws. The complaint alleges the failure to pay wages, labor and health code violations, and the intentional infliction of emotional distress, among other things. Yet in this unusual 81-page complaint, Wong also claims knowledge of a large swath of Levandowski's personal and business dealings. She does so in great detail, including dozens of overheard names, the license-plate numbers of cars she observed at a Levandowski property, and an extensive list of the BDSM gear she claims he kept in his bedroom.

It seems like every vendor in the data security industry makes predictions this time of year. Which ones should you pay attention to? All of them, says Dan Lohrmann, who formerly served as the state of Michigan's CISO and CTO. See Also: IoT is Happening Now: Are You Prepared? "I really view it as something that professionals need to widen their perspectives," Lohrmann says in an interview with Information Security Media Group.

Everything was fine few months back. We knew a cool Robot who talks and is expressive and best of all, is witty. The robot gets a citizenship. Now let's not even get into the citizenship status... That's even more head scratching. Let's stick to the technological standpoint for now.

This interview is part of our series of . We interviewed the founders and CEOs of 20 of the fastest growing startups in Europe. We asked them about their companies, their companies' culture, and their lives, trying to understand how these three factors played a role in the achievement of such impressive growth. If you want to know where to launch your next business venture, keep reading -- Spanish startup can help you out. Founded in 2015, the company is already leading the field of location intelligence.