Displaying items by tag: Deep learning

Australian Signals Directorate-certified Protected cloud provider Vault has announced a collaboration with the University of Technology Sydney and the CSIRO SME Connect office to give a boost to artificial intelligence and machine learning.

Published in Security

With almost two thirds of Australian businesses using some form of AI functionality today, how well are we using it, what is its future and what is Pegasystems doing in the AI arena?

Published in Data

Lenovo's Data Centre Group has been working with the Barcelona Supercomputer Centre to explore how AI can improve the accuracy of retinal disease scanning, with AI, deep learning and the future of AI in the enterprise also beneficiaries.

Published in Data
Wednesday, 08 August 2018 02:01

Dell EMC packages systems for AI

Dell EMC has announced a family of preconfigured systems for AI applications, along with supporting services.

Published in Hardware

Following the announcement of its first Airi (AI-Ready Infrastructure) system earlier this year, Pure Storage has revealed a second, smaller model intended to make AI systems accessible to an even wider audience.

Published in Hardware
Friday, 06 April 2018 17:51

FPGAs play an interesting role in Azure

You might be surprised to learn the part FPGAs are playing in Azure's hardware.

Published in Cloud
Tuesday, 27 February 2018 15:46

Advanced face recognition coming from Panasonic

Panasonic is preparing to release what it suggests will be one of the world's best face recognition systems.

Published in Security

Integration and analytics vendor Tibco has released its open source event-driven microgateway along with a new version of Project Flogo for deep learning microservices.

Published in Open Source

When Microsoft releases its second Holographic Processing Unit or HPU, which presumably will arrive in HoloLens 2.0, it will have a custom silicon AI coprocessor for superior mixed reality.

Published in Data
Thursday, 06 July 2017 10:21

Baidu, Nvidia team up for multiple AI projects

A partnership between Baidu and Nvidia will see the Chinese Web services company applying Nvdia GPUs to provide AI in a range of products and services.

Published in Strategy

Machine learning will be the next competitive frontier in 10 years and having good machine learning models, that perform the best, will be the competitive advantage that will differentiate between the winners and losers, a senior executive at the data management company MapR says.

Published in Business Intelligence
Wednesday, 19 April 2017 13:09

Baidu Cloud offers Nvidia deep learning platform

Nvidia's deep learning platform is now available as part of Baidu Cloud's deep learning service.

Published in Cloud

A software company executive has spoken of the importance of keeping humans in control while using AI and automation to remove drudgery and help people to work more effectively.

Published in Business Software
Tuesday, 15 November 2016 14:01

Nvidia and Microsoft put Tesla GPUs in Azure cloud

Microsoft and Nvidia have teamed up to push AI on premises and in the cloud.

Published in Cloud

The IBM Server for AI Enterprise combines the benefits of IBM's Power8 CPU with Nvidia's Tesla P100 GPUs.

Published in Enterprise Solutions
Tuesday, 15 November 2016 01:02

Nvidia SaturnV sets mark for AI supercomputing

Nvidia's new DGX SaturnV is the world's most efficient AI supercomputer, according to the company's vice-president of solutions architecture and engineering, Marc Hamilton.

Published in Hardware
Wednesday, 05 October 2016 16:01

CSIRO first in APAC with DGX-1 supercomputers

CSIRO has deployed two Nvidia DGX-1 supercomputers in a Canberra data centre.

Published in Hardware
Thursday, 09 June 2016 09:01

Nvidia backs deep learning startups

GPU vendor Nvidia has announced a support program to help startup companies that are applying deep learning technologies.

Published in Development
Wednesday, 06 April 2016 13:13

Nvidia packs AI supercomputer into one box

Nvidia's DGX-1 is said to be equivalent in performance to a 250-node x86 system for deep learning applications.

Published in Hardware

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