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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.

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.

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.

How AI is Transforming the Customer Experience

Today’s customer experience is practically unrecognizable from just a few years earlier. We’re able to cancel orders without ever speaking to a human, get essential supplies delivered to our door just by talking to a speaker, and get pitch-perfect recommendations wherever we go online. Not only has AI transformed the purchasing journey for the consumer, but on the brand side as well. The infographic below from Chattermill provides a few examples of the way AI is used in CX every day.

Intel + Cornell Pioneering Work in the “Science of Smell”

Nature Machine Intelligence published a joint paper from researchers at Intel Labs and Cornell University demonstrating the ability of Intel’s neuromorphic test chip, Loihi, to learn and recognize 10 hazardous chemicals, even in the presence of significant noise and occlusion. The work demonstrates how neuromorphic computing could be used to detect smells that are precursors to explosives, narcotics and more.

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.

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.