Under the sea, Microsoft tests a datacenter that’s quick to deploy, could provide internet connectivity for years

By John Roach Microsoft is leveraging technology from submarines and working with pioneers in marine energy for the second phase of its moonshot to develop self-sufficient underwater datacenters that can deliver lightning-quick cloud services to coastal cities. An experimental, shipping-container-size prototype is processing workloads on the seafloor near Scotland’s Orkney Islands, Microsoft announced today. The deployment … Continue reading Under the sea, Microsoft tests a datacenter that’s quick to deploy, could provide internet connectivity for years

What Will the Future of Work Look Like After the Robot Revolution? (Infographic)

By 2033, it's predicted that nearly half the country's jobs will be taken over by robots. Image credit: Peter Cade | Getty Images Rose Leadem People often fear that a robot will take their job. Unfortunately, that fear might not be so far-fetched. The idea of a robot revolution is becoming more and more realistic. On average, … Continue reading What Will the Future of Work Look Like After the Robot Revolution? (Infographic)

DeepMind’s AI can ‘imagine’ a world based on a single picture

  DeepMind’s AI can build up a vision of the world from multiple pictures Udo Siebig/ALAMY By Chelsea Whyte Artificial intelligence can now put itself in someone else’s shoes. DeepMind has developed a neural network that taught itself to ‘imagine’ a scene from different viewpoints, based on just a single image. Given a 2D picture of … Continue reading DeepMind’s AI can ‘imagine’ a world based on a single picture

Deep learning: Why it’s time for AI to get philosophical

For years, science fiction writers have spelled out the technological marvels and doomsday scenarios that might result from artificial intelligence. Now that it’s a part of our lives, argues Catherine Stinson, those working in AI need to take their work’s social and ethical implications much more seriously CATHERINE STINSON SPECIAL TO THE GLOBE AND MAIL ILLUSTRATIONS … Continue reading Deep learning: Why it’s time for AI to get philosophical

What Will the Future of Work Look Like After the Robot Revolution? (Infographic)

By 2033, it's predicted that nearly half the country's jobs will be taken over by robots.   Rose Leadem People often fear that a robot will take their job. Unfortunately, that fear might not be so far-fetched. The idea of a robot revolution is becoming more and more realistic. On average, one robot can do the job … Continue reading What Will the Future of Work Look Like After the Robot Revolution? (Infographic)

Making Smart Machines Fair

By Bennett McIntosh ’16 Olga Russakovsky Photo: Peter Murphy Can artificial intelligence be less biased than we are?   “IS THIS AN UMBRELLA OR A STRAWBERRY?” Posed to the undergraduates filling the lecture hall in the computer science building, the question topping assistant professor Olga Russakovsky’s lecture slide is laughably simple — but the question isn’t … Continue reading Making Smart Machines Fair

WHY YOU NEED TO LEARN MACHINE LEARNING RIGHT NOW!

“A breakthrough in machine learning would be worth ten Microsofts.”- Bill Gates Looking at the past trends, the world data is expected to double every two years with the cost of data storage declining at roughly the same rate. In order to extract the information from this exponentially increasing data, the need for better Machine Learning techniques … Continue reading WHY YOU NEED TO LEARN MACHINE LEARNING RIGHT NOW!

Five recommended books on machine learning and deep learning

Understanding Machine Learning: From Theory to Algorithms: https://www.amazon.com/gp/product/1107057132/ref=as_li_qf_sp_asin_il_tl?ie=UTF8&tag=machinelear0a-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=1107057132&linkId=1d970c471617832bfa7f865d4df067ce Deep learning: https://www.amazon.com/gp/product/0262035618/ref=as_li_qf_sp_asin_il_tl?ie=UTF8&tag=machinelear0a-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0262035618&linkId=f1b75661b7da3229c5d71073a720ccc9 http://www.deeplearningbook.org/ The Elements of Statistical Learning: https://www.amazon.com/gp/product/0387848576/ref=as_li_tl?ie=UTF8&tag=machinelear0a-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0387848576&linkId=9af65bf1ae410c0bdf3e4e8b95846c65 Pattern Recognition and Machine Learning: https://www.amazon.com/gp/product/0387310738/ref=as_li_tl?ie=UTF8&tag=machinelear0a-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0387310738&linkId=e6a3a5ff7bbf35b27059187a657247a7 http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf Pattern classification: https://www.amazon.com/gp/product/0471056693/ref=as_li_tl?ie=UTF8&tag=machinelear0a-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0471056693&linkId=bed9cb5e31ef7f89d41c614fd05d2faf http://cns-classes.bu.edu/cn550/Readings/duda-etal-00.pdf https://www.amazon.com/gp/product/0471703508/ref=as_li_tl?ie=UTF8&tag=machinelear0a-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0471703508&linkId=a45a67e77e9cd81f875c6c9e0e50abb2 More books: https://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=pd_bxgy_14_img_2?_encoding=UTF8&pd_rd_i=0387310738&pd_rd_r=2c7fb273-6b4d-11e8-8b4e-81248bc33edb&pd_rd_w=U5ExQ&pd_rd_wg=m7YDs&pf_rd_i=desktop-dp-sims&pf_rd_m=ATVPDKIKX0DER&pf_rd_p=3914568618330124508&pf_rd_r=5CG371FAJJ2VWF4T525J&pf_rd_s=desktop-dp-sims&pf_rd_t=40701&psc=1&refRID=5CG371FAJJ2VWF4T525J https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618/ref=pd_bxgy_14_img_3?_encoding=UTF8&pd_rd_i=0262035618&pd_rd_r=2c7fb273-6b4d-11e8-8b4e-81248bc33edb&pd_rd_w=U5ExQ&pd_rd_wg=m7YDs&pf_rd_i=desktop-dp-sims&pf_rd_m=ATVPDKIKX0DER&pf_rd_p=3914568618330124508&pf_rd_r=5CG371FAJJ2VWF4T525J&pf_rd_s=desktop-dp-sims&pf_rd_t=40701&psc=1&refRID=5CG371FAJJ2VWF4T525J https://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/B0727MS189/ref=sr_1_11?s=books&ie=UTF8&qid=1528484032&sr=1-11&keywords=Machine+Learning%3A+A+Probabilistic+Perspective https://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020/ref=sr_1_1?s=books&ie=UTF8&qid=1528484032&sr=1-1&keywords=Machine+Learning%3A+A+Probabilistic+Perspective

The 7 best deep learning and machine learning books you should be reading right now

by Adrian Rosebrock I'm an entrepreneur and Ph.D who has launched two successful image search engines, ID My Pill and Chic Engine. I'm here to share my tips, tricks, and hacks I've learned along the way. In today’s post I’m going to share with you the 7 best deep learning books (in no particular order) I have come across … Continue reading The 7 best deep learning and machine learning books you should be reading right now

Leading courses in machine learning and deep learning

CS231n: Convolutional Neural Networks for Visual Recognition: http://cs231n.stanford.edu/ https://drive.google.com/drive/u/0/folders/0B62MBK9B2knSY3ZmeHktSEhJNXM http://cs231n.stanford.edu/syllabus.html https://www.youtube.com/watch?list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&v=vT1JzLTH4G4 Machine Learning by Andrew Ng: https://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning#syllabus Learning From Data, Introductory Machine Learning: https://work.caltech.edu/telecourse.html https://work.caltech.edu/lectures.html#lectures https://work.caltech.edu/homeworks.html#schedule https://www.youtube.com/playlist?list=PLD63A284B7615313A Deep Learning by Google: https://www.udacity.com/course/deep-learning--ud730 Deep Learning by Nando De Freitas: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ https://www.youtube.com/watch?v=PlhFWT7vAEw&list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu&index=16 Neural Networks for Machine Learning: https://www.coursera.org/learn/neural-networks  Deep Learning Courses: https://machinelearningmastery.com/deep-learning-courses/

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