13:40 - 2017/10/15
"The Internet of Things for Health Care: A Comprehensive Survey" Article: Free Download
This paper surveys advances in IoT-based health care technologies and reviews the state-of-the-art network architectures/platforms, applications, and industrial trends in IoT-based health care solutions. In addition, this paper analyzes distinct IoT security and privacy features, including security requirements, threat models, and attack taxonomies from the health care perspective. Further, this paper proposes an intelligent collaborative security model to minimize security risk;
11:59 - 2017/10/15
"Internet of Things for Smart Cities" Article: Free Download
we focus specifically to an urban IoT system that, while still being quite a broad category, are characterized by their specific application domain. Urban IoTs, in fact, are designed to support the Smart City vision, which aims at exploiting the most advanced communication technologies to support added-value services for the administration of the city and for the citizens. This paper hence provides a comprehensive survey of the enabling technologies, protocols, and architecture for an urban IoT.
15:15 - 2017/06/25
Deep Learning Companies
The tendency of technology giants to use deep learning has made the startups and companies alike to move forward with the use of this tool. Affectiva is one of the laboratories at the University of MIT, which focuses on the use of deep learning to detect emotions from video and image.
16:11 - 2017/06/21
Practical Areas of Deep Learning
With the advent of deep learning in artificial intelligence, attention has been drawn to this tool in various fields, and as far as its distinctive features are shown in various applications. Undoubtedly, one of the attractive areas is the application of deep learning of smart robots. Deep learning today greatly improves the ability of smart robots to function, and in some users, performance is close to human being.
08:25 - 2017/06/21
Technology Giants and Deep Learning
Nowadays, given the potential of deep neural networks, the technology giants of the world have invested heavily on the use of these potentials. Microsoft in January 2016 allocated a budget for risky investments in startup companies operating in the field of artificial intelligence. Most of the companies that make up the investment in Microsoft's business are doing a lot of deep learning.
07:19 - 2017/06/21
It's the application to learning tasks of artificial neural networks (ANNs) that contain more than one hidden layers. Simpler ANNs contain zero or one hidden layers. Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task specific algorithms. Learning can be supervised, partially supervised or unsupervised.