EmoNet, a neural network model, was accurately able to pair images to 11 emotion categories
"Artificial intelligence might one day start communicating our emotions better than we do,"
notes Dhara Singh
"EmoNet, neural network model developed by researchers at the University of Colorado and Duke University, was accurately able to classify images into 11 different emotion categories.
A neural network is a computer model that learns to map input signals to an output of interest by learning a series of filters, according to Philip Kragel, one of the researchers on the study. For example, a network trained to detect bananas would learn features unique to them, such as shape and color..."
RPA is the fastest growing category of software today, driven by enterprise digital transformation efforts. Here's how to make the most of it
"Enterprise organizations have been struggling with a new directive over the past several years -- digital transformation. As they compete against cloud-native, data-ready startups, enterprises are hobbled by speed, or lack thereof, of their existing technology.
They know they need to make their operations faster, more responsive to customers, and smarter. Yet their technology investments may go back decades, so they may have been built for how businesses operated 10 or 20 years ago..."
There is little doubt that AI hardware is a focal point this year for tech industrialists, computer scientists, AI researchers and governments alike
"A Cambrian explosion of new hardware precipitated by a sudden and huge demand for computational power coinciding with an impending transformation of the existing computing paradigm,"
writes Stephanie Wright
"The landscape of the technology industry, and the fundamental way in which computing is done, will almost certainly look very different a decade from now, due in no small part to AI hardware, and the $65bn+ opportunity of this market..."
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