KLM Royal Dutch Airlines Using AI to Boost Customer Service

Features, News, CUDA, GeForce, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Oct 13 2016

With the increasing volume of interactions with customers over social media channels, KLM Royal Dutch Airline is the first airline to test how artificial intelligence could assist customer service agents. “We have 100,000 mentions a week on social media,” says Tjalling Smit, senior vice president of Digital at KLM Royal Dutch Airlines. “We handle around

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Meet the GPU-Accelerated Latte-Making Robot

Research, CUDA, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted Oct 12 2016

Researchers in the Robot Learning Lab at Cornell University developed a robot that can prepare a cup of latte without ever having seen the machine before – the robot does this by visually observing the machine and by reading online instruction manuals, similar to how humans learn. The team used CUDA and TITAN X GPUs

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NVIDIA Jetson Takes to the Course and Classroom

Events, Automotive, CUDA, Higher Education / Academia, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted Oct 11 2016

Embedded Computing took center stage last week in Pittsburgh, PA. The Jetson team sponsored an F1/10 autonomous racing competition at Carnegie Mellon and participated in Embedded Systems Week (ESWeek), a premier event covering all aspects of embedded systems and software, where we showed the Robotics Teaching Kit with ‘Jet’. F1/10 – Shift Into High Gear

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Tackling Ebola With GPUs

Features, Research, Cluster / Supercomputing, CUDA, Higher Education / Academia, Medical and Life Sciences, Tesla

Nadeem Mohammad, posted Oct 07 2016

A team of researchers from University of Illinois at Urbana-Champaign and Stanford University are using the Blue Waters supercomputer at the National Center for Supercomputing Applications (NCSA) to predict what antibody would most likely pair best with a protein that coats a virus. The work focuses on two strains of the Ebola virus, and multiple

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