insideBIGDATA was pleased to be on-hand for the recent Deep Learning Summit in Boston from May 12-13, 2016 as guests of the conference sponsor RE•WORK. Deep Learning (DL) researchers and industry leaders gathered for the event to hear extraordinary speakers, discovery emerging trends and expand their professional network, all around this hugely popular field.
Blazent Study Reveals Disconnect Between Data Quality and Enterprise Readiness to Pursue Machine Learning and Analytics
Blazent, a leader in IT data quality management, released new findings of its report, The Role of Data Quality Management in Machine Learning and Predictive Analytics, conducted in partnership with 451 Research.
The presentation below is an educational resource that sets the stage for parallel programming with GPUs (graphics processing units) and was sponsored by the Center for Astrophysics and Supercomputing at Swinburne University of Technology. GPUs are becoming quite popular for the implementation of deep learning solutions.
In the presentation below, Dr. Demis Hassabis from Google DeepMind delivered a talk on “General Learning Algorithms” to the Royal Society in London on May 22, 2015. Hassabis was the co-founder and CEO of DeepMind, a neuroscience-inspired AI company, bought by Google in Jan 2014.
Intelligent Crowdsourcing Platform Transforms Businesses’ Unstructured Data Into Actionable Insights
Spare5 announced general availability of its Intelligent Crowdsourcing Platform to provide product leaders the human insights they need to act on their unstructured data.
RE•WORK will host it’s annual East Coast events on Deep Learning and the Internet of Things in Boston on 12 & 13 May. Over 300 machine learning and IoT enthusiasts and experts will come together to hear keynote presentations, panel discussions, fireside chats and to explore the startup showcase area.
minds.ai, developers of a revolutionary scalable deep neural network training platform with dramatic acceleration performance, announced that it has set a new record in the time taken to train AlexNet Neural Network (NN). Training AlexNet is a well-known task used for benchmarking NN training performance. The new minds.ai benchmark achieved a wall clock training time of just 2 hours and 15 minutes compared to the previous best time of 12.5 hours.
Sinequa announced the general availability of Sinequa ES Version 10. Powered by Machine Learning capabilities at its core, this ground breaking version helps deliver deep analytics of contents and user behavior, offering information with continually improving relevance to users in their work environments.
Infosys (NYSE: INFY), a global leader in consulting, technology, and next-generation services, announced the launch of Infosys Mana, a platform that brings machine learning together with the deep knowledge of an organization, to drive automation and innovation – enabling businesses to continuously reinvent their system landscapes.
Movidius, a leader in low-power machine vision technology, today announced both the Fathom Neural Compute Stick – the world’s first deep learning acceleration module, and Fathom deep learning software framework. Both tools hand-in-hand will allow powerful neural networks to be moved out of the cloud, and deployed natively in end-user devices.