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Tag: neural network

Product Naming with Deep Learning

We do not usually associate artificial intelligence (AI) with creativity. Generally, AI algorithms are used to automatize repetitive tasks or predict new outcomes based on previously seen examples. The creative process c Read more…

AI to Displace 40% of World’s Jobs, Predicts ‘Oracle of AI’

Artificial intelligence will displace 40% of jobs, predicted Chinese AI expert Kai-Fu Lee, who was dubbed the "Oracle of AI" by "60 Minutes" this week. Lee also said that China is on the cusp of surpassing Silicon Valley Read more…

Deep Learning: The Confluence of Big Data, Big Models, Big Compute

Fueled by enterprises seeking greater insight from their analytics, deep learning is now seeing widespread adoption. While this artificial intelligence (AI) discipline was first conceived in the late 1950s, the recent ju Read more…

Intel Aims to Simplify AI with ‘Neural Stick’ Update

Intel today unveiled an upgraded Neural Compute Stick that it claims will dramatically simplify the roll-out of neural network inference applications in drones, IoT, and edge devices. It may look like a standard USB t Read more…

Inference Engine Aimed at AI Edge Apps

Flex Logix, the embedded FPGA specialist, has shifted gears by applying its proprietary interconnect technology to launch an inference engine that boosts neural inferencing capacity at the network edge while reducing DRA Read more…

Voice ‘Fingerprint’ Propels Speaker Recognition

The accuracy of automatic speech recognition has made significant gains in the last few years thanks to the advent of deep neural networks. But there's one area that has thwarted researchers: telling multiple speakers ap Read more…

Popping Big Data Fallacies On the Edge

Organizations today are drowning in data. There's no argument about that. But there continues to be vigorous debate on the best way to deal with that data. While some advocate creating big data lakes to store data that w Read more…

‘Lifelong’ Neural Net Aims to Slash Training Time

Among the consequences of big data is a wealth of relevant minutiae that can be used to train machine learning and other models. That often translates into processing-intensive steps required to train models to perform a Read more…

Inside Intel’s nGraph, a Universal Deep Learning Compiler

The advent of deep learning has spawned new life into the quest to create artificial intelligence. But along the way, we've become awash in technological complexity, forcing data scientists to juggle multiple deep learni Read more…

SAS Previews Upcoming Enhancements to Viya Platform

Neural network interpretability, integration with open source analytic libraries, and greater mobility within SAS's product suite are among the capabilities that are coming to the SAS Viya platform later this quarter. Read more…

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