Distributed Machine Learning with Run.ai

The AI industry is making progress at simplifying distributed machine learning, defined as the process of scheduling AI workloads across multiple GPUs and machines (nodes). One of the primary benefits of distributed machine learning is its ability to reduce model

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Cool AI Startups: AnotherBrain and OWKIN

The AI race in different regions of the world continues. The US leads in both quantitative and qualitative metrics, where quantitative is measured in the number of startups and qualitative is based on a value system that assigns points to

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AI Chips: GPU, TPU, and NPU

The rapid growth in AI is having a big impact on the development and sale of specialized chips. Allied Market Research noted in the Artificial Intelligent Chip Market Outlook that AI chip sales are predicted to grow from $6.6B in

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Cool Startup: Deep Instinct

When it comes to innovation in the field of artificial intelligence, DeepMind is the de facto industry leader. It is they who developed an AI system that defeated Lee Sedol in the game of Go back in March 2016. In

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Blizzard Embraces AI for Starcraft II

DeepMind, the Google-owned AI startup behind AlphaGo, is collaborating with Blizzard to open the popular Starcraft II game to AI and machine learning research. The goal is to foster advancements in artificial intelligence to the extent that it can solve

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PayPal Deep Learning Methods Against Fraud

Financial institutions everywhere are ramping up cybersecurity efforts against the ongoing issue of bank fraud. This is especially the case with PayPal, as their efforts towards utilizing deep learning against fraud, and the company is using homegrown artificial intelligence engine built

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Azure Announces 1.0.0 of Batch Shipyard

The Azure Big Compute team has announced the launch of 1.0.0 of Batch Shipyard, which enables simple deployment of Dockerized workloads to Azure Batch compute pools and allows users to run parallel jobs in the cloud. The solution is optimized

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