Conversational AI Using Custom Model Ensembles to Improve Multi-domain Conversations Multilingual conversations, sales conversations, switching to data entry information, and conversational AI with a multi-use case conversational flow are just a few examples where a conversation can switch wildly between domains within the same conversation....
Women in AI Podcasts The Future of AI & Spoken Word Content Audio content is on the rise. What role does artificial intelligence have to play? We met with Mari Joller, Founder and CEO of Snackable AI, for an episode of the Women in AI Podcast....
Deep Learning Why Are We Content With Making Videos Unwatchable? Here is a scenario: you register for a webinar but cannot attend it. You get a recording of that webinar and it languishes in your inbox because you just can't seem to find...
Robotics Beyond Chatbots Bots, bots, bots! We’ve heard about them, we’ve seen them, we’ve likely used them- maybe without even knowing it. In May, Facebook announced that there were over 300,000 bots...
Deep Learning Startup Series - Samir Kumar, M12, Microsoft's Venture Fund At each RE•WORK summit, we welcome a large variety of startups. With our key partners, we are taking a look at some of the most cutting-edge startups to watch out for.Startups...
Machine Learning Is it time to rethink the way we deal with AI content training? When Alan Turing postulated what machine intelligence could do, his question gradually evolved into a more practical and implementable form – from ‘can machines think?’ to ‘can machines do what we can do?’Fast...
Machine Learning Online Banking is Evolving With NLP & Deep Learning The world of online banking is heading towards a digital reality where questions are no longer answered by humans, but by computers. In the last year alone the number of banks focusing on...
Deep Learning Interpretability: the Next Deep Learning Challenge Deep learning researchers are increasingly focusing on a big problem in the field: interpretability.While supervised neural nets trained on huge datasets can achieve impressive performances in tasks such as computer vision and...
Big Data Deep Learning for AI: Takeaways from Yoshua Bengio At the Deep Learning Summit, Boston 2016, Yoshua Bengio took us through the evolution of Artificial Intelligence (AI) - how it started with supervised learning, its progression to Machine Learning with speech recognition...
Machine Learning The 6 Levels of Autonomous Driving On March 23 & 24, we will be holding our first Machine Intelligence in Autonomous Vehicle Summit in San Francisco. Autonomous vehicles has been the latest obsession of every car enthusiast and manufacturer,...
Machine Learning Interview With Google's Conversation Design Lead Nandini Stocker Science and gender equality are both vital for the achievement of international development goals. In order to achieve equal access to and participation in science for women and girls, and attain global gender...
Deep Learning Some of my favourite RE•WORK interviews from 2016 It's been another busy year at RE•WORK! We've expanded into new topics including Machine Intelligence, Virtual Assistants, Deep Learning in Healthcare and Deep Learning in Finance, in locations including Singapore, New York...
Voice Recognition Bots in Healthcare: Will They Assist or Replace Humans? With the increasingly rapid technological advancements in natural language processing (NLP) and deep learning, development of virtual assistants and chatbots has exploded this year, and new applications are being explored everyday. One area...
Machine Learning Is Humanising Chatbots the Next Inevitable Improvement? Ashley Hathaway is Senior Developer Evangelist at IBM Watson, a company that has become renowned in recent years for their expertise in artificial intelligence and analytical software. In 2011, Watson made headlines after...
Deep Learning Personalization is Essential For Wider Uptake of Chatbots Today’s widely used virtual personal assistants, while intelligent and useful, are not yet particularly “personal”, and by lacking in depth personalization, they can be a barrier to broader adoption of AI assistants...
Deep Learning Baidu's Adam Coates on Deep Speech 2, New Open Source AI Tool & More Named one of MIT Technology Review's 35 Innovators Under 35 for 2015, Adam Coates is Director of the Baidu Silicon Valley AI Lab. Previously a post-doctoral researcher at Stanford, over the past six...
Deep Learning Here's What We Can Expect from Deep Learning in 2016 and Beyond As 2015 draws to a close, all eyes are on the year's accomplishments, as well as forecasting technology trends of 2016 and beyond. One particular field that has frequently been in the spotlight...
Machine Learning Creating a More Humane Artificial Intelligence Virtual assistants have received a lot of attention as helpful tech that will make our lives easier, whether it's finding the quickest route to our destination; controlling smart home products; suggesting restaurants or...
Big Data Recommended Reads - Intelligent Machines Week The tech world is rapidly evolving and it’s hard to keep up! To help you get up to date we’ve rounded up the best tech and innovation articles from this past...
Neural Networks Changing the Way We Talk to Machines As our mobile devices, wearables and cities become more powerful and feature-rich, a better understanding and dialogue between humans and machines is becoming key to the success of emerging technologies. Achieving human-machine dialogue...
Neural Networks Deep Learning with Structure Charlie Tang is a PhD student in the Machine Learning group at the University of Toronto, working with Geoffrey Hinton and Ruslan Salakhutdinov, whose research interests include machine learning, computer vision and cognitive...
