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The Essential Guide: Machine Scheduling for AI Workloads on GPUs

This white paper by Run:AI (virtualization and acceleration layer for deep learning) addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High-Performance Computing (HPC), and distributed computing to deep learning.

Supercomputers vs Superviruses: Why Tech is Our Best Hope in the Coronavirus Pandemic

In this contributed article, Golnar Pooya, a partner with IBM Digital Strategy practice, and an advisor at 7 Gate Ventures, suggests that in light of the global pandemic, AI gives us an incredible chance to protect life and we must arm it with the information it needs to do so. This outbreak only confirms the position of technology as mankind’s most important tool in protecting global health.

TOP 10 insideBIGDATA Articles for March 2020

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

DataRobot Opens Up its Platform for COVID-19 Response Efforts

DataRobot, a leader in enterprise AI, announced it will provide the DataRobot enterprise AI platform free of charge to those interested in using it to help with the COVID-19 virus response effort. In collaboration with Amazon Web Services (AWS), DataRobot’s COVID-19 response program provides free access to DataRobot’s automated machine learning.

Chatbots for Recruiting

Talent departments are spending $250 billion on recruitment, interviewing and candidate assessment solutions. But as employers invest in these disparate technologies, they sacrifice efficiency and deliver a disconnected experience throughout the talent lifecycle. Enter the AI chatbot. Phenom, a leader in Talent Experience Management (TXM), is a single platform that individualizes the end-to-end talent journey for candidates, recruiters, employees and management.

AI Under the Hood: causaLens

In this installment of “AI Under the Hood” I introduce causaLens, a London-based deep tech company building a machine that predicts the global economy in real-time. The company’s Growth Analyst reached out to me on LinkedIn, and I liked what I learned from the materials I received.

NVIDIA’s New Data Science Workstation— a Review and Benchmark

This new whitepaper from NVIDIA Partner firm PNY Technologies, tests and reviews the recently released Data Science Workstation, a PC that puts together all the Data Science hardware and software into one nice package. The workstation is a total powerhouse machine, packed with all the computing power—and software—that’s great for plowing through data.

Why Truly Smart Future Tech Needs Radically New AI Chips

In this contributed article, Orr Danon, CEO and Co-Founder of Hailo, believes that to fuel drones and autonomous vehicles reliant on high-performance cameras, being paired with an AI chip capable of processing and performing image classification tasks with near-zero latency in real time is critical.

Interview: Felix Dorrek, Ph.D.

I recently caught up with Felix Dorrek to discuss his research in the area of deep generative networks. The interview touches on the technology’s power, practical applications, importance to business in 2020, as well as generating synthetic data. Felix holds a Ph.D. in mathematics from the Vienna Technical University where he conducted research in the field of Convex Geometry.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – February 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.