Deep Learning "A Great Promise for Personalised Health" Last Tuesday, the Deep Learning in Healthcare Summit London took place at LSO St Luke’s.RE•WORK hosted 40 speakers and 200 attendees over the course of the 2-day summit to explore...
Deep Learning Deep Learning Platforms & GPUs: an Interview With Bryan Catanzaro High-performance graphics cards, typically associated with gaming, have become popular over the last few years in an area many might not expect: artificial intelligence. Many experts attribute recent acceleration of success in AI...
Machine Learning A New Era of Driverless Transport is Upon Us Thanks to the collision of machine learning and the Internet of Things (IoT), driverless technology is advancing rapidly, and advancements are expected to continue on this trajectory with technology giants like Google, Intel,...
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...
Deep Learning Exploring Machine Learning at OpenAI & Google With the Experts On 26-27 January, we held the Deep Learning Summit and Virtual Assistant Summit in San Francisco, enjoying another mind-expanding 2 days learning about the latest trends and applications in the AI world. During...
Machine Learning 11th Global Deep Learning Summit to Be Held Singapore This April Following the success of the Deep Learning Summit series in San Francisco, London, and Boston, RE•WORK is pleased to announce its 11th global Deep Learning Summit in Singapore. It is taking place...
Big Data Opening the Black Box: Interpretable Deep Learning for Genomics Deep learning models are often noted as "black boxes" in reference to the difficulties of tracing a prediction back to important features to understand how an output was arrived at. Although deep learning...
Machine Learning Accelerating Tech: the Future of Autonomous Vehicles The technologies driving forward a new era of autonomous vehicles have been accelerating exponentially in the past few years. The futuristic cars that until recently were only found in science fiction could be...
Deep Learning Deep Learning at the Front Lines of Healthcare Today’s healthcare system was not built for a seamless integration of rapidly emerging technologies, such as machine learning innovations. Health data is largely inaccessible and not standardized, making it challenging to work...
Deep Learning What is the General AI Challenge? Current AI solutions, deemed 'narrow AI', are essentially task-specific - they learn to do one, well-defined task extremely well. A 'general AI' system, on the other hand, will be capable of “learning how...
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 Deep Learning for Analyzing Perception of Human Appearance Deep learning techniques can be used to extract facial imaging biomarkers of human health status and to track the effects of cosmetic interventions. At the Deep Learning in Healthcare Summit, Research Scientist, Anastasia...
Deep Learning 5 Reasons to Enter AI Development in 2017 Artificial intelligence is one of the most exciting scientific developments in human history. Only a decade ago, AI was a far-fetched fairy tale. Advancements in deep learning have propelled AI enthusiasts’ wildest dreams...
Deep Learning Reprogramming the Human Genome: Why AI is Needed "Exponential data problems is very challenging and it's why it's hard to apply machine learning to genomics""Sequencing 1M genomes or 1B genomes won't address these problems"Last week at the Deep Learning...
Deep Learning Chinese New Year Discount on RE•WORK Summits in Asia To celebrate the Chinese New Year, we are providing a 20% discount on all summit passes. This offer will be valid from 25 January to 30 January. Simply enter the code NEWYEAR at...
Big Data The "Something Something" Video Dataset Neural networks trained on Datasets, like ImageNet, have recently led to major advances in visual object classification. The main obstacle that prevents networks from reasoning more deeply about scenes and situations, and from...
Deep Learning UREX: Under-appreciated Reward Exploration by Google Brain The most widely-used exploration methods in reinforcement learning today (like entropy regularization and epsilon-greedy) have not changed much in the last 20 years. Google Brain argues that these exploration strategies are naive and...
Big Data The Future of In-Place Associative Computing Today’s solutions that seek to emulate the human mind waste time and energy moving data around. That is not what the human mind does – rather than move data around, it efficiently processes...
Deep Learning The World's First Cognition Platform to Power the Future of AI "The final missing piece in AI is Visual Cognition and Understanding. In order for this dream to be realized, it takes more than winning scores at classifying ImageNet."At the Deep Learning Summit...
Big Data Behaviour: from intervention to diagnosis Alessandro Guazzi, Co-Founder at Sentimoto. Alessandro has provided us with an introduction to his presentation on the novel ways of measuring and representing behaviours allowing the description and qualification of complex diseases using...
Deep Learning How Deep Learning is Expected to Develop in 2017 2016 saw some progressive advancements in AI technology, such as AlphaGo beating Go grandmaster Lee Sedol. We have seen other great developments such as with image recognition, where we can one day expect...
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...
Deep Learning New Year Discount on All RE•WORK Summits To celebrate the New Year, we are providing a 20% discount on all summit passes. This offer will be valid from 26 December to 6 January. Simply enter the code NEWYEAR at the...
Deep Learning Deep Learning in Production at Facebook Facebook is powered by machine learning and AI. From advertising relevance, news feed and search ranking to computer vision, face recognition, and speech recognition, they run ML models at massive scale, computing trillions...
