AI

LIVE WEBINAR: GPU Accelerated Scientific Machine learning with Large Data Sets

Tuesday 15 June @ 2pm (UK)

The time to publication of Data-Driven Research can be decreased through GPU-Accelerated Data Science.  Large proportion of tools used for scientific analysis and machine learning (e.g. Pandas, SciKit Learn, NetworkX or Spark) have GPU-accelerated variants. We'll discuss how, by changing just a few lines of code, research teams can accelerate their experiments by several orders of magnitude, significantly reducing hardware-associated cost or data processing/training times.

IBM to Acquire Turbonomic

IBM has announced that it will acquire Turbonomic, an Application Resource Management (ARM) and Network Performance Management (NPM) software provider based in the US

NAG announces Azure HPC and AI Collaboration Centre

The Numerical Algorithms Group (NAG) will provide machine learning expertise to Microsoft Azure users via the new Azure HPC & AI Collaboration Centre. In partnership with NVIDIA, this new centre will develop best practices for the deployment of scalable machine learning in the Cloud.

Scientific computing in the era of AI

 
AI technologies being developed today will lead to new capabilities tomorrow and enable new business applications the day after.

This webinar will help those looking to harness the power of AI in their business to build successful long-term strategies that scale beyond proof-of-concept to create transformative business impact. Nvidia will be joined by global breakthrough innovation specialist, Cambridge Consultants, to reveal the next wave of disruptive AI technologies and discuss strategies to progress successful adoption of AI in a variety of sectors.

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