As part of its exhibition at GTC 2016, the worlds largest GPU conference, Boston Limited is showcasing Boston ANNA, the worlds fastest deep learning training accelerator. Expert scientists in the field of machine learning have leveraged the power of the GPU to make huge strides in improving a multitude of applications. Deep Learning is the fastest-growing field within this sphere and today's advanced deep neural networks use algorithms, big data, and the computational power of GPUs to reduce time-to-solution or to improve the accuracy of results. Deep learning is used in the research community and in industry to help solve many big data problems such as computer vision, speech recognition, and natural language processing. Models can take days or even weeks to train, forcing data scientists to make compromises between accuracy and time to deployment.

This series of tutorial is about evolutionary computation: what it is, how it works and how to implement it in your projects and games. At the end of this series you'll be able to harness the power of evolution to find the solution to problems you have no idea how to solve. As a toy example, this tutorial will show how evolutionary computation can be used to teach a simple creature to walk. If you want to try the power of evolutionary computation directly in your browser, try Genetic Algorithm Walkers. As a programmer, you might be familiar with the concept of algorithm.

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.

To test whether his invention is indistinguishable from a human being, he helicopters in a young engineer to see if he falls in love with the robot. Today, making machines and humans indistinguishable from each other is no longer science fiction--it's good business. In fact, a wave of startups are part of a new trend that promises to radically simplify our lives by making it harder to determine whether we're communicating with a person or computer code. In my last post I discussed how I use some of these services and in this post, I'll go deeper into what this trend is all about. I'll look into how pairing new technologies with human assistants will result in tremendous new products, which promise to enhance our lives -- that is, until the robots completely take over and destroy us all.

Take a three year-old to the zoo, and she intuitively knows that the long-necked creature nibbling leaves is the same thing as the giraffe in her picture book. That superficially easy feat is in reality quite sophisticated. The cartoon drawing is a frozen silhouette of simple lines, while the living animal is awash in color, texture, movement and light. It can contort into different shapes and looks different from every angle. Humans excel at this kind of task.

Last week Microsoft's chatbot experiment, Tay.ai, was the subject of controversy. She was supposed to learn from young people on Twitter and post friendly, emoji-filled tweets. Within 24 hours she was a racist bigot tweeting things like "Hitler was right". The most paranoid among us might draw parallels between Tay's behaviour and the dystopian robots that turn evil in sci-fi stories. Tay was an innocent chatbot with good intentions but once in the real world she turned into a racist Nazi. It doesn't take too much imagination to imagine a world where we let loose helpful robot doctors and drivers with the best intentions only for them to overthrow humanity.

Toronto's Meta, an AI that maps and monitors the universe of scientific information, has launched Meta Science, a free AI-enabled site that assists scientific researchers in identifying which biomed papers are relevant among the almost 4,000 published daily. Meta Science uses the power of AI to identify concepts, people and relationships buried within the world's 26 million research papers. "As a cancer researcher, I've experienced first-hand the realities of information overload and the need to separate noise from signal", said Sam Molyneux, CEO of Meta. "As research output continues to grow, AI can help researchers shorten the path to knowledge at major bottlenecks where human efforts alone can no longer scale." Meta accomplishes this through a simple and familiar user experience that lets scientists create libraries and news feeds on specific or general topics.

As the hype continues around Robotic Process Automation (RPA) and Artificial Intelligence (AI), organizations are looking to invest additional efforts to better understand potential benefits and risks associated with these. The fact of the matter: RPA and AI are already a reality and many service providers are taking an active role in the lookout for opportunities to maximize their service delivery models, profits and increased client satisfaction. The conclusion: Go ahead and have fun! At the same time, do not lose sight of potential exposures for the organization. In today's world, organizations cannot afford reputational risks / impacts to their brand and clients.

Planned in labs, the 3D printer gave them form, layering their bodies into being. The robots were softer than the ones we'd come to fear, their gently wriggling bodies more caterpillar than Terminator. Once it was removed from its mechanical womb, the creators hooked up some batteries and gave it the spark of life. Made by MIT's Computer Science and Artificial Intelligence Lab, this robot walks with hydraulic bellows, fluid pumping in and out to turn a crankshaft that moves the legs back and forth. All parts of the robot, apart from the batteries, wires, and motor, are 3D printed.

In the deserts of eastern California, that blank stretch of sand striped with asphalt between Needles and Barstow, there are emergency telephones spaced out for people in need. The desert is hot and sparse, and sometimes cars breakdown, and people need to call for help as soon as they can. It's a bleak place to lose a tire, and an even worse one to lose a tire and urgently need some antiseptic and a bandage. A new patent awarded to Google yesterday could someday bring a robotic savior to these exact situations: a medical emergency call box, which summons a drone carrying the needed supplies to the person in need. Users would press a button for their specific medical emergency, and it would deploy a drone to the scene.