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NVIDIA | October 16, 2020
NVIDIA today reported that the Italian between college consortium CINECA — one of the world's most significant supercomputing focuses — will utilize the organization's quickened figuring stage to fabricate the world's quickest AI supercomputer. The new "Leonardo" framework, worked with Atos, is relied upon to convey 10 exaflops of FP16 AI execution to empower progressed AI and HPC united application use cases. Including almost 14,000 NVIDIA Ampere...
AI APPLICATIONS
Vianai Systems, Inc. | April 20, 2022
Vianai Systems , the human-centered AI platform and products company, today launched the Vian H+AI™ Platform for reliable, optimized enterprise-wide deployment, management and governance of machine learning (ML) models at scale. The Vian H+AI Platform brings a human-centric approach, combined with advanced AI techniques to address and remove barriers that currently prevent widespread AI adoption into production environments. A lack of trust, transparency and governance of AI models over th...
Quest | July 16, 2020
Quest Software, a global systems management, data protection and security software provider, today announced new capabilities available within On Demand Audit to support the industry-wide shift to the cloud and ensure Microsoft environments remain secure in the face of growing malware and cyber threats. Available within the Quest Microsoft Platform Management (MPM) business, On Demand Audit is an Azure-hosted SaaS offering that provides tracking and alerting on all configuration, user and admini...
NEURAL NETWORKS
AEGIS | December 17, 2020
AEGIS has picked the expert.ai natural language stage to actualize a danger designing arrangement that will remove and examine basic data from hazard designing reports during the property endorsing measure. By applying the intensity of man-made reasoning to this data concentrated cycle, AEGIS designing groups will gather information all the more proficiently and exhaustively, empowering them to give further bits of knowledge to the two financiers and policyholders with respect to key danger intr...
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