Collaborating Authors

2016: The Year Of Learning Dangerously

Forbes - Tech

What have we learned from all this? The past year has shown us the extent to which terrorists will go to seek revenge and gain the attention of the West. It has shown us that despite the global reach we all enjoy through Internet connections and as consumers, the impact of globalization on our individual lives is far from rewarding. The US boasted its first female presidential candidate; the UK decided it preferred to be just an island nation. Humanitarian needs of refugees failed to rally the attention of organizations created in part to alleviate these needs in the first place, and we watched the ties that bind increase between Turkey – a country that has been a strategic partner to the West since WW2 – and Russia – always a question mark for the West.

What should governments be doing about the rise of Artificial Intelligence?


There is little doubt that Artificial Intelligence (AI) is transforming almost every facet of human life. How far this transformation will go and what the full ramifications for society will be are still unknown but this hasn't prevented people from making both optimistic and dire predictions. Elon Musk's call for AI regulation has been matched by equal calls for governments not to. One of the principle problems with AI has been the confusion that surrounds what it is exactly, and what it can and can't actually do. The single biggest problem in understanding AI however has been making it clear how current AI techniques (like deep learning) differ from human intelligence.

Deep Learning Summit Coming to Toronto in October


The Deep Learning Summit is returning to Toronto from October 25 – 26, 2018 and will cover the latest advancements in deep learning technology. Global leaders in the field will address how industry leaders and start-ups are applying deep learning techniques across industry and society. The first ever AI for Government Summit, another event stream, will provide a unique opportunity to interact with government bodies, policymakers, strategists and directors of innovation to explore the use of machine learning to increase efficiency, reduce costs and meet the high demands of the public sector. What's more, the Canadian Government have committed over $125 million to AI developments. Headline partners include Accenture, Qualcomm, Graphcore AI and CBC/Radio Canada who will all be sharing their expertise in the field, participating in workshops, discussions, presentations, demonstrations and exhibitions.

Evolving Government: Why government needs open-source deep learning - Fedscoop


Deep learning is cutting edge artificial intelligence. It's what Google used to build AlphaGo, which beat the world champion of board game Go earlier this year in China. And it's being used by many of the world's top tech companies as the basis for recommender systems, fraud detection and cybersecurity. Government should be using deep learning, because it is a sophisticated tool that can help agencies fulfill their mission for use cases as diverse as risk profiling, cost forecasting and the analysis of satellite imagery. An additional benefit that supports both recent governmentwide policy and tight budgets is that most of the best deep-learning algorithms are open source.

He's Learning on the Job


Look, I don't believe that Donald Trump is racist. I think Donald Trump takes everyone as individuals. When Barack Obama host rappers at the White House whose album has a picture of a white judge lying down with his eyes X'd out, here we go, this is playing cultural racial politics as well. I think when Donald Trump faces people, he sees them as individuals. I wrote a book about racial violence.