登入選單
返回Google圖書搜尋
O'Reilly Artificial Intelligence Conference 2016 - New York, NY
註釋The O'Reilly Artificial Intelligence Conference provided compelling evidence that 2016 is the year artificial intelligence moved from the province of university labs to being a critical part of the software developer's toolkit and a focus for mainstream companies. Whether you're a data scientist or software engineer looking to keep up with the latest developments; a CO in analytics, data, information, innovation or technology investigating AI trends; or a VC or corporate strategist evaluating new business opportunities, you'll find new information and insight in these videos. The compilation includes all keynotes and sessions. Watch rapid-fire keynotes from Intel's Genevieve Bell on the meaning of intelligence within the context of machines; O'Reilly's founder Tim O'Reilly on the reasons why society must not fear artificial intelligence; Microsoft's Lily Cheng on the success of Xiaoice, the company's Chinese AI-driven chatbot); and many other visionaries. Conference sessions include: Automated Insights' Robbie Allen on the future of natural language generation over the next 10 years; Intel's Vin Sharma on the company's investment in open AI solutions for the autonomous driving, healthcare, and financial services industries; UC Berkeley's Pieter Abbeel on reinforcement learning in robotics; Preferred Networks' Shohei Hido on a Python framework for complex neural networks; Google's Martin Wicke on the TensorFlow-based APIs that will democratize machine learning; and Cortical.io's Francisco Webber on semantic folding, an alternative to the big data machine learning approach to AI. O'Reilly Artificial Intelligence Conference Total access to each of the 13 keynotes and 42 sessions delivered at AI NY 2016 Energized discourse by 66 AI experts from 39 of the world's top AI companies and research groups High-level briefings from MIT, HKUST, UCB, Stanford, and the Allen Institute for Artificial Intelligence Demos of Capital One's CI tool for cybersecurity and Intel's Xeon Phi machine learning product line Strategic advisories from FirstMark Capital, HyperScience, McKinsey, and The Longevity Fund Deep learning updates from TensorFlow, Enlitic, Algorithmia, and Baidu's Silicon Valley AI Lab Demos of NVIDIA's neural network tool DIGITS and x.ai's AI personal assistant "Amy" Insider looks at Microsoft's Project Malmo and the deep learning toolkit CNTK Overviews of breakthroughs in CNN based image, speech and emotion recognition...