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China creates fastest computer in the world, challenging US dominance in making supercomputers
Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display
It's happening: A robot escaped a lab in Russia and made a dash for freedom
With every passing day, it feels like the robot uprising is getting a little closer. Robots are being beaten down by their human overlords, even as we teach them to get stronger. Now, they're starting to break free. A robot in Russia escaped from a research lab in the town of Perm yesterday, June 15, reports the BBC. An engineer at robotics company Promobot had forgotten to close a gate, and the runaway bot caused a traffic jam as it bolted out into the world.
Artificial intelligence achieves near-human performance in diagnosing breast cancer
A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate. "Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," explained pathologist Andrew Beck, MD, PhD, Director of Bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC) and an Associate Professor at Harvard Medical School. "This approach teaches machines to interpret the complex patterns and structure observed in real-life data by building multi-layer artificial neural networks, in a process which is thought to show similarities with the learning process that occurs in layers of neurons in the brain's neocortex, the region where thinking occurs." The Beck lab's approach was recently put to the test in a competition held at the annual meeting of the International Symposium of Biomedical Imaging (ISBI), which involved examining images of lymph nodes to decide whether or not they contained breast cancer. The research team of Beck and his lab's post-doctoral fellows Dayong Wang, PhD and Humayun Irshad, PhD, and student Rishab Gargya, together with Aditya Khosla of the MIT Computer Science and Artificial Intelligence Laboratory, placed first in two separate categories, competing against private companies and academic research institutions from around the world. The research team today posted a technical report describing their approach to the arXiv.org
Twitter acquires AI startup Magic Pony for a reported 150m
Twitter has bought London-based AI startup Magic Pony Technology for a reported 150m ( 102m) as the company moves to strengthen its position in image-sharing, video and live video. Founded in 2014, Magic Pony uses machine learning to build improved systems for visual processing. The company said it was excited to be joining forces with Twitter "to improve the visual experiences that are delivered across their apps". Twitter's chief executive, Jack Dorsey, said Magic Pony's technology would be used to enhance live and video offerings and "opens up a whole lot of exciting creative possibilities for Twitter". Dorsey said the team included "11 PhDs with expertise across computer vision, machine learning, high-performance computing and computational neuroscience".
Twitter is hoping a Magic Pony will help it stay relevant in video
Twitter's famous blue bird is getting some equine company. The messaging platform announced today (June 20) that it acquired Magic Pony Technology, a startup based in London that applies machine learning to video, for an undisclosed sum. Its acquisition looks like Twitter's latest attempt to reverse its slumping fortunes by boosting its efforts in the increasingly hot artificial intelligence space. Investors appear relieved: Twitter stock was up 1.5% in early trading. But don't expect this deal to produce yet another digital assistant with an anodyne female moniker.
Twitter acquires AI startup Magic Pony for a reported 150m
Twitter has bought London-based AI startup Magic Pony Technology for a reported 150m ( 102m) as the company moves to strengthen its position in image-sharing, video, and live video. Founded in 2014, Magic Pony uses machine learning to build improved systems for visual processing. The company said it was excited to be joining forces with Twitter "to improve the visual experiences that are delivered across their apps". Twitter's chief executive, Jack Dorsey, said Magic Pony's technology would be used to enhance live and video offerings and "opens up a whole lot of exciting creative possibilities for Twitter". Dorsey said the team included "11 PhDs with expertise across computer vision, machine learning, high-performance computing and computational neuroscience".
What's Next for Artificial Intelligence
The traditional definition of artificial intelligence is the ability of machines to execute tasks and solve problems in ways normally attributed to humans. Some tasks that we consider simple--recognizing an object in a photo, driving a car--are incredibly complex for AI. Machines can surpass us when it comes to things like playing chess, but those machines are limited by the manual nature of their programming; a 30 gadget can beat us at a board game, but it can't do--or learn to do--anything else. This is where machine learning comes in. Show millions of cat photos to a machine, and it will hone its algorithms to improve at recognizing pictures of cats.
Almost human: Google creating 'common-sense' AI engine Netimperative - latest digital marketing news
Google is expanding its efforts in Artificial intelligence with a new project to teach machines what it terms "common sense". The technology giant has launched a new European research centre dedicated to advancing AI technology. Based in Zurich, the team will focus on three areas – machine learning, natural language understanding and computer perception. Emmanuel Mogenet, who will head the unit, said much of the research would be on teaching machines common sense. There was, he said, "no limit on how big I grow the team We are very ambitious in terms of growth. The only limiting factor will be talent," he told journalists gathered in Zurich to hear more about Google's AI plans.
Drone pizza delivery, connected clothes and VR doctors: Britons predict 6 ways tech will change their lives by 2036
Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display
Artificial intelligence shown to spot early signs of a tumour with 92% accuracy
Computers could soon be helping to diagnose cancer in patients with the help of artificial intelligence that has been trained to spots the early signs of the disease. An AI machine capable of accurately diagnosing breast cancer 92 per cent of the time has been developed by researchers. While it is still not quite as good as human specialists – who are correct 96 per cent of the time – it suggests that AI could soon be used to speed up and improve cancer screening. Scientists have used machine learning to create an artificial intelligence system capable of diagnosing breast cancer from lymph node biopsies with 92 per cent accuracy (cancer cells in a lymph node pictured). When combined with a human pathologist this accuracy increased to 99.5 per cent The system was developed by computer scientists at Harvard Medical School gave a machine learning algorithm slides of lymph nodes from breast cancer patients.