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.
Dell announced a major new release of its award-winning Statistica advanced analytics platform, Dell Statistica version 13.1. This latest version delivers a host of capabilities designed to empower citizen data scientists, help organizations better address growing IoT analytics requirements, and better leverage increasingly heterogeneous data environments.
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.
In this contributed article by Christian Hasker, Director of DataStax Academy at DataStax, we’ll take a look at how to commoditize big data skills over time and enable CIOs to retrain their staff at a much lower cost, ensuring that the lack of skills in the market doesn’t continue to be a cost inhibitor to adopting big data technologies.
Mammoth Data, a leader in Big Data consulting, today announced the findings of its comprehensive cloud solution benchmark study, which compares Google Cloud Dataflow and Apache Spark.
Adaptive Insights, a leader in cloud corporate performance management (CPM), released its global CFO Indicator Q1 2016 report, revealing that while chief financial officers (CFOs) remain worried about growing economic volatility, the vast majority of the 377 CFOs surveyed remain confident in their forecasts, and believe that the combination of big data, analytics, and scenario planning will likely be the key to navigating their organizations through the current financial uncertainty.
MapR Announces Free Stream Processing On-Demand Training for Real-time Analytics and IoT Applications
MapR Technologies, Inc., provider of the Converged Data Platform, announced at Kafka Summit 2016 it is now offering stream processing training via MapR Academy’s free On-Demand Training program. The new training enables Apache Kafka developers to extend their real-time analytics and Internet of Things (IoT) applications.
The insideBIGDATA Guide to Streaming Analytics is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. Many enterprises find themselves at a key inflection point in the big data timeline with respect to streaming analytics technology.
This year, ODSC is growing to bring together 2,500+ of the best and brightest at ODSC East in Boston! There will be 20+ workshops, 10+ training sessions, & 100+ speakers! Not to mention a career fair with top-notch companies ready to hire!