What is convolutional neural network? Convolutional neural networks are based on the visual cortex. The visual cortex in the human body has small regions of cells, which are sensitive to specific regions of the visual field.

Several intelligent tasks such as visual perception, language understanding, and auditory perception require construction of good internal representations of features. These features must be invariant to irrelevant variations of the…

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How PKI has geared up for IoT? Connected IoT devices must provide trustworthy information, sometimes directly to the user and sometimes to the infrastructure provider. Establishing trust across disparate devices on a massive scale is one of the most significant challenges faced by IoT. Use of PKI in IoT can help in overcoming this challenge.

A persisting challenge in IoT is trust, which is hard to achieve with the grand scale around IoT implementations. Around 63% of IT professionals around the world feel that IoT…

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Significance of notifications platform in real-time health systems A notification platform in healthcare can help hospitals in reducing the constant buzzing and beeping of systems that alert caregivers of patient requests, changes in vitals, and so on. They also help ensure that appropriate staff members receive relevant notifications on their mobile devices.

Real-Time health systems based on big data are designed for delivering time-critical information in real-time, thereby improving the quality of and providing safer healthcare services. This system can gather machine…

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Multi-factor authentication for multi-faceted frauds Multi-factor authentication consists of methods in computer access control. In this method, a user is only granted access after successfully providing several separate pieces of evidence to an authentication mechanism.

One of the major problems with traditional user ID and password login is the need for maintaining a password database. Whether that password is encrypted or not, if the database…

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3 applications of Deep Learning in Big Data analytics Deep Learning algorithms have great potential for research into the automated extraction of complex data representations. Deep Learning algorithms can develop a layered, and hierarchical architecture of learning and representing data. Deep Learning in Big Data Analytics has become a high-focus of data science.

Big Data has now become important as several organizations are collecting massive amounts of domain-specific information that can be used to solve problems related to national intelligence, cyber security, fraud…

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3 things to know about artificial neural nets Artificial neural nets consist of statistical models that are directly inspired by biological neural networks. These statistical models are capable of modeling and processing nonlinear relationships between different inputs and outputs in parallel.

Artificial neural networks are characterized by neurons that can be tuned by a learning algorithm. This learning algorithm is able to learn from observed data in order to improve the…

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