The Internet of Things (IoT) is the network of physical objects—devices, vehicles, buildings and other items which are embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. Implementing this concept is not …
The possibilities that IoT brings to the table are endless. IoT continues its run as one of the most popular technology buzzwords of the year, and now the new phase of IoT is pushing everyone to ask hard questions about …
Image: StockUp (public domain) In April 2004, Bill Gates predicted the death of passwords. More than ten years later, their end is a more current topic than ever, and many technology brands are seeking a replacement for them. The reason …
The Internet of Everything was listed as one of the top trends of 2015 by Gartner .The term Internet of Everything (IoE) is a fairly new term , and there is a confusion about the difference between the Internet of …
The Internet of Things has been a wildly exciting development in technology over the past few years, and is slowly but surely changing the way the world works. As more and more devices become connected, and the applications become smarter, …
History does not always make things easy for geniuses. When John McCarthy (1927-2011) was born in Boston on the eve of the Great Recession to a humble family of European immigrants, little seemed to presage that this child prodigy was …
The Internet of things (IoT) is one of the most exciting trends in the recent history of technology so far. As connectivity, storage, and compute become more universal, we’re seeing an explosion of IoT solutions, from health care to public …
Data science is an interdisciplinary field about processes and systems used to extract insights from data. Data science draws from a lot of scientific fields including statistics, computer science, machine learning and data mining. Data science is applied in a …
Machine learning is a field of study that gives computers the ability to learn without being explicitly programmed. Machine learning invloves the creation of algorithms that can learn and make prediction on data. Machine learning is used in applications where …
Electrical signals can be used to characterize a variety of physical occurrences. These signals rarely provide insight in their raw nature due to the addition of noise and other factors. Signal processing involves converting these signals from their raw state …