Hello Deep learning Communities, I am on the way of choosing topic for my PhD study. My research area is on deep learning, I am a confused to select particular topic for my study. Which problem area is the best for the future career, and let me to explore more? Just I want to know your opinion! By the way, my background is computer science!

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Deep Genomics bring together machine learning and experimental biology. Their systems "predict the molecular effect of genetic variation, opening a new and exciting path to discovery for disease diagnostics and therapies." Brenden talks about the recently developed gene editing systems that has made it possible to edit our genomes. His talk focused around why machine learning and AI will play a central role in this transformation of medicine and of humanity. http://bit.ly/RE-WORK_FREYDLSF17


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At the Deep Learning Summit, Roland Memisevic, Chief Scientist at Twenty Billion Neurons, will describe a new video dataset his team have created, showing objects engaged in complex motions and interactions. He will also show how neural networks can learn from this data to make fine-grained predictions about actions and situations.
https://www.re-work.co/blog/the-something-something-video-dataset



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Avidan Akerib, VP of the Associative Computing at GSI Technology, will be presenting at the Deep Learning Summit in San Francisco, 26-27 January. We chatted to Avidan ahead of the Summit to learn more about in-place associative computing, the key challenges to further advancements in high performance memory, how AI will assist with pattern recognition in the future and Avidan's predictions for Deep Learning in 2017.
https://www.re-work.co/blog/inplace-computing-high-performance-search

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Developed for Digital Citizenship at my ES School: Website "Traffic Lights" Poster download and other resources for #online safety: http://www.giveitaway.net/safety.html #edtech

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Brad Folkens, is leading the effort to build the world's first cognition platform to power the future of AI. We caught up with Brad to find out his thoughts on the factors that have enabled recent advancements in image recognition, the main problems being address in the deep learning space, and the problems CamFind solve. Plus, Brad's predictions for computer vision in the next 5 years.http://bit.ly/RE-WORK_WorldsFirstCognitionPlatform_Social


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2016 saw some progressive advancements in AI technology. However, it is expected that 2017 will be the year for AI and deep learning. With that in mind we asked some of our great speakers, who will be presenting at our deep learning summits this year, for their predictions for deep learning in 2017. 

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For those of you experimenting with VR in your research you may want to consider sending a paper to the following journal. 

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Still tickets available for 30+ incredible sessions in Malaysia November 12-13. #innovation #edtech #hands-on learning #relevance #communityofpractice
http://www.deeplearners.com/malaysia
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Why do you teach, if not to positively shape the world?
Professional development opportunity in sustainability education Thinking, Learning and Acting for a Flourishing and Sustainable World" for educators and school/educational institution leaders in Central and South America with Compass Education.
Registration open so sign up now to guarantee your place!
http://www.compasseducation.org/compass1-colegiomaya-nov16/
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