Things can be Fun!

Today while working with my friends on a project related to the dental instruments just a topic came up regarding understanding machines... Machines that implement black-box model or similar machine learning algorithms. At this very moment I had a thought. If every machine were to be equipped with a computer or an embedded system implementing such algorithms, it could easily replace humans in return eliminating human error and creating jobs in such fields (of course, AI should lack consciousness for this). By this it is clear that machine learning, in other words experiential learning can be the best solution to problems such as human error, wear and tear error, environment influenced errors, etc. But machine learning alone cannot survive as it needs data to learn and develop. Here comes Internet of Things, the data acquisition medium for the ML algorithms. Data collected from the sensor nodes needs to be accumulated or distributed among the similar type of machines with the help o

I-Fi... From my previous blog on IoT , to achieve that synchronization among devices and to achieve better data exchange standards it is advisable that any device can talk to any device without getting hacked. In this case security of network is major concern, also the communication should happen with minimum expenditure of device's energy irrespective of dependence on battery. I-Fi - What is it? It's just an acronym for "IoT - Fidelity", given by us (Pragya and me) 😋. Based on the thoughts after contemplating over the previous blog, IoT can be best observed if the communication happens over hub-node topology, here hub is required to ensure security of network (like firewall, encryption device, WiFi router), however the hub involves whenever communication between nodes or devices happen and the device-device communication is not possible in the case. So a "hybrid" hub-node topology is desired, this gave birth to the concept of I-Fi, a hybrid hub-nod