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dRISK Retrains AVs to Detect High Risk ‘Edge Cases’

London, 13 April 2021 — dRISK, a London and Pasadena-based startup that has so far been in stealth, today announced its launch and that it has – for the first time commercially – employed its edge case retraining tool to achieve a 6x performance in time to detect high-risk events for autonomous vehicles (AVs). Whereas […]

EIB Provides $9.1M to AI Software Company Cortical.io

San Francisco – March 3, 2021 – The European Investment Bank (EIB) is providing $9.1 million to Cortical.io AG, an Austrian software company with offices in San Francisco, developing artificial intelligence technology based on a Natural Language Understanding (NLU) approach that can interpret and process human language text. The software is capable of performing search and […]

Deloitte Teams with Nvidia on Deloitte Center for AI Computing

Consulting firm Deloitte today announced the launch of the Deloitte Center for AI Computing, designed to accelerate development of artificial intelligence solutions for Deloitte clients. Built on NVIDIA’s DGX A100 systems , the center “brings together the supercomputing architecture and AI expertise that clients require as they become AI-fueled organizations,” Deloitte said. “The Deloitte Center […]

10 Questions to Ask When Starting With AI – Part 4

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the proper team to execute the project. Chasing the hot technology trend without having a proper strategy often leads companies down the path of failure.

10 Questions to Ask When Starting With AI – Part 3

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the proper team to execute the project. Chasing the hot technology trend without having a proper strategy often leads companies down the path of failure.

Things to Know When Assessing, Piloting, and Deploying GPUs – Part 3

In this insideHPC Guide, our friends over at WEKA suggest that when organizations decide to move existing applications or new applications to a GPU-influenced system there are many items to consider, such as assessing the new environment’s required components, implementing a pilot program to learn about the system’s future performance, and considering eventual scaling to production levels.

Things to Know When Assessing, Piloting, and Deploying GPUs – Part 2

In this insideHPC Guide, our friends over at WEKA suggest that when organizations decide to move existing applications or new applications to a GPU-influenced system there are many items to consider, such as assessing the new environment’s required components, implementing a pilot program to learn about the system’s future performance, and considering eventual scaling to production levels.

10 Questions to Ask When Starting With AI – Part 2

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the proper team to execute the project. Chasing the hot technology trend without having a proper strategy often leads companies down the path of failure.

OEMs Join Nvidia-Certified Program – Systems Pre-tested for AI Workloads

Dell Technologies, GIGABYTE, Hewlett Packard Enterprise (HPE), Inspur and Supermicro are among 11 systems makers engaged in an Nvidia certification program, announced this morning, designed to test hardware across a range of AI and data analytics workloads, including jobs that require multiple compute nodes and tasks that only need part of the power of one GPU. […]

10 Questions to Ask When Starting With AI

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the  proper team to execute the project. Chasing the hot technology trend without having a proper strategy often  leads companies down the path of failure.