AI

Press release

ISG report recognises Atos IOT capabilites

8 September 2021

Atos today announces that it has been recognised as the overall global leader in Artificial Intelligence on the Edge in ISG’s Provider Lens ‘Internet of Things – Solutions & Services’ Quadrant Report 2021, ranking highest from all global companies evaluated both in terms of Portfolio Attractiveness and Competitive Strength. Atos is also named a global Leader across the other two segments analysed: IoT Endpoint Security, and IT/OT Tech Data Convergence.

The report recognises Atos’ strengths as:

Credit: Quardia/Shutterstock

News story

Nvidia and Google Cloud to create industry’s first AI-on-5G lab

28 June 2021

Nvidia has announced that it is partnering with Google Cloud to establish the industry’s first AI-on-5G Innovation Lab, enabling network infrastructure players and AI software partners to develop, test and adopt solutions that will help accelerate the creation of advanced 5G and AI applications

Sittipong Phokawattana/Shutterstock

News story

HPE acquires Determined AI

23 June 2021

Hewlett Packard Enterprise today announced that it has acquired Determined AI, a San Francisco-based startup that delivers a software stack to train AI models faster, at any scale, using its open-source machine learning (ML) platform

Feature

Evolving AI

18 June 2021

With the growth of AI and DL comes new opportunities for emerging applications, finds Robert Roe

Event

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.

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Webcast

On Demand Webinar: GPU Accelerated Scientific Machine learning with Large Data Sets

3 June 2021

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.

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