In this special guest feature, Kevin Curran, IEEE Senior Member and senior lecturer in computer science at Ulster University, takes a high-level view of one of the more popular AI-driven technologies we have seen this past year, and will continue to see in 2017 – chatbots.
Cray Inc. announced the results of a deep learning collaboration between Cray, Microsoft, and the Swiss National Supercomputing Centre (CSCS) that expands the horizons of running deep learning algorithms at scale using the power of Cray supercomputers. Running larger deep learning models is a path to new scientific possibilities, but conventional systems and architectures limit the problems that can be addressed, as models take too long to train. Cray worked with Microsoft and CSCS, a world-class scientific computing center, to leverage their decades of high performance computing expertise to profoundly scale the Microsoft Cognitive Toolkit.
In this special guest feature, Amitabh Sahare, Senior Content Writer at Allied Market Research, discusses how the cognitive era is fast approaching and the new cognitive computing systems are speeding up the process with sophisticated deep learning methods.
Wow! What a year 2016 has been. The big data industry has significant inertia moving into 2017. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an exciting ride. Enjoy!
Bright Computing, a leading provider of vendor-independent cluster and cloud management software, announced its Bright for Deep Learning solution. Bright for Deep Learning makes it faster and easier for organizations to use deep learning techniques in their businesses. The Bright for Deep Learning solution, available on Bright Cluster Manager Version 7.3, provides a choice of machine learning frameworks to simplify deep learning projects, including Caffe, Torch, TensorFlow, and Theano.
Celonis Launches Enterprise-Class, Big Data Analytics Process Mining Platform Powered by AI Machine Learning
Celonis announced it has launched an enterprise-class, big data analytics process mining platform fueled by artificial intelligence (AI) and machine learning. The Celonis Proactive Insights Engine (Pi) acts as an automated advisor that gives full, unbiased visibility into all business processes and uncovers hidden inefficiencies while providing prescriptive recommendations on how to fix them in real time.
One Stop Systems, Inc. (OSS), a leader in PCI Express® (PCIe®) expansion technology, introduces two new deep learning appliances, OSS-PASCAL4 and OSS-PASCAL8. The OSS-PASCAL8 is a 170 TeraFLOP engine with 80GB/s NVIDIA® NVLink™ for the largest deep learning models.
I don’t usually get excited about a new book for the field in which I’ve been deeply involved for quite a long time, but a timely and useful new resource just came out that provided me much anticipation. “Deep Learning” by three experts in the field – Ian Goodfellow, Yoshua Bengio, and Aaron Courville is destined to considered the AI-bible moving forward.
Data science pioneer DataRobot announced the latest version of their enterprise machine learning platform. The new release integrates the powerful TensorFlow™ library for deep learning along with new tools to help users extract insights from all models on the platform. The release also updates DataRobot Prime, a premium add-on that allows users to export scoring code and operationalize models in any environment.