by news intoAI | Feb 28, 2018 | News Stories
Differing reconstruction kernels are known to strongly affect the variability of imaging biomarkers and thus remain as a barrier in translating the computer aided quantification techniques into clinical practice. This study presents a deep learning application to CT...
by news intoAI | Feb 28, 2018 | News Stories
Differing reconstruction kernels are known to strongly affect the variability of imaging biomarkers and thus remain as a barrier in translating the computer aided quantification techniques into clinical practice. This study presents a deep learning application to CT...
by news intoAI | Feb 28, 2018 | News Stories
Differing reconstruction kernels are known to strongly affect the variability of imaging biomarkers and thus remain as a barrier in translating the computer aided quantification techniques into clinical practice. This study presents a deep learning application to CT...
by news intoAI | Feb 28, 2018 | News Stories
In this paper, we present a deep-learning based automatic all size pulmonary nodule detection system by cascading two artificial neural networks. We firstly use a U-net like 3D network to generate nodule candidates from CT images. Then, we use another 3D neural...
by news intoAI | Feb 28, 2018 | News Stories
Since then, organisation Campaign to Stop Killer Robots – who attended the event – highlighted Rasmussen's comments on its site. It follows its long-standing effort to ban fully autonomous weapons. Alongside the article, it shares concerns about future artificial...
by news intoAI | Feb 28, 2018 | News Stories
Since then, organisation Campaign to Stop Killer Robots – who attended the event – highlighted Rasmussen's comments on its site. It follows its long-standing effort to ban fully autonomous weapons. Alongside the article, it shares concerns about future artificial...
by news intoAI | Feb 28, 2018 | News Stories
artifi intelligence Riskmethods' Solution Maps a Customer's Supply Chain scmai.JPG Artificial intelligence (AI) is hot. Billions in venture capital have been invested in AI firms, some of them focused on solving supply chain problems. Machine learning, a...
by news intoAI | Feb 28, 2018 | News Stories
UNIVERSITY PARK, Pa. — Computers may better predict taxi and ride sharing service demand, paving the way toward smarter, safer and more sustainable cities, according to an international team of researchers. In a study, the researchers used two types of neural networks...
by news intoAI | Feb 28, 2018 | News Stories
artifi intelligence Riskmethods' Solution Maps a Customer's Supply Chain scmai.JPG Artificial intelligence (AI) is hot. Billions in venture capital have been invested in AI firms, some of them focused on solving supply chain problems. Machine learning, a...
by news intoAI | Feb 28, 2018 | News Stories
UNIVERSITY PARK, Pa. — Computers may better predict taxi and ride sharing service demand, paving the way toward smarter, safer and more sustainable cities, according to an international team of researchers. In a study, the researchers used two types of neural networks...
by news intoAI | Feb 28, 2018 | News Stories
UNIVERSITY PARK, Pa. — Computers may better predict taxi and ride sharing service demand, paving the way toward smarter, safer and more sustainable cities, according to an international team of researchers. In a study, the researchers used two types of neural networks...
by news intoAI | Feb 28, 2018 | News Stories
The revelation that the New Orleans Police Department quietly used a Silicon Valley company to predict crime raises dilemmas similar to those emerging from artificial intelligence in other spheres, like consumer behavior, medicine and employment. But what's...
by news intoAI | Feb 28, 2018 | News Stories
Professor Tor Wager leads CANLab, which is housed in CU Boulder's Institute of Cognitive Science (ICS) and the Psychology and Neuroscience Department. CANLab uses machine-learning to develop fMRI-based biomarkers for clinically relevant outcomes, such as pain. It...
by news intoAI | Feb 28, 2018 | News Stories
Professor Tor Wager leads CANLab, which is housed in CU Boulder's Institute of Cognitive Science (ICS) and the Psychology and Neuroscience Department. CANLab uses machine-learning to develop fMRI-based biomarkers for clinically relevant outcomes, such as pain. It...
by news intoAI | Feb 28, 2018 | News Stories
The revelation that the New Orleans Police Department quietly used a Silicon Valley company to predict crime raises dilemmas similar to those emerging from artificial intelligence in other spheres, like consumer behavior, medicine and employment. But what's...
by news intoAI | Feb 28, 2018 | News Stories
Gaslighting is a form of emotional abuse. It is perhaps one of the most insidious tactics of manipulation, as it is used, with specific intention, to disturb the sense of self, safety and reality of another, and thereby, make it easier to interfere and control their...
by news intoAI | Feb 28, 2018 | News Stories
Gaslighting is a form of emotional abuse. It is perhaps one of the most insidious tactics of manipulation, as it is used, with specific intention, to disturb the sense of self, safety and reality of another, and thereby, make it easier to interfere and control their...
by news intoAI | Feb 28, 2018 | News Stories
Machine learning could be used to underwrite faster, reduce fraud and assess vehicle damages more accurately, Lawrence Wong, Munich Re Canada's director of application development, said on Tuesday. Speaking at the 16th annual Insurance-Canada.ca Technology...
by news intoAI | Feb 28, 2018 | News Stories
This paper presents a deep-learning (DL) based approach to the design of multi-colored visible light communication (VLC) systems where RGB light-emitting diode (LED) lamps accomplish multi-dimensional color modulation under color and illuminance requirements. It is...
by news intoAI | Feb 28, 2018 | News Stories
This paper presents a deep-learning (DL) based approach to the design of multi-colored visible light communication (VLC) systems where RGB light-emitting diode (LED) lamps accomplish multi-dimensional color modulation under color and illuminance requirements. It is...
