Article 1From CPUs to GPUs to TPUsApplications like Google Home, Google Maps, Google Assistant are becoming part of our day to day life. They process huge amount of data and apply smart algorithms using Artificial Intelligence, Machine Learning and Deep Learning. In order to run these and many more such applications state of the art hardware is required that could offer fast processing of data in a fraction if nanoseconds or so. We know this hardware by the name of Central Processing Unit or CPU. Then there is Graphics Processing Unit or GPU specifically intended for display devices for image processing and graphical applications. In 2016, Google introduced a new hardware called Tensor Processing Unit or TPU for neural network machine learning applications. This article attempts to briefly discuss these three hardware - CPU, GPU & TPU... Prof. Lipika GuptaArticle 2IOT Connectivity with Cloud ServicesInternet of Things (IoT) as we know is the interconnection of physical devices/gadgets like vehicles, home appliances, machines over the network or internet. Almost all 'things' in IoT do contain certain common components that allow them to connect to network and be controlled over it. These components include microcontroller or microprocessor based hardware, programming capabilities, various sensors & actuators, and connectivity options. In this article we are discussing two IOT platforms that save a lot of time and money when it comes to connection to the cloud for building IoT applications. These are API development hardware and Portable software agent... By: Ms. Monika Parmar |
||
Previous IssueIssue 28
Click HereA platform where best Technology Connect articles in a quarter, based on readers' rating are discussed among likeminded people. CLICK HERE to rate.
|
||
Editor: Mr. Sagar Juneja, Associate Professor, ECE, Chitkara University, H.P. Consulting Editor: Dr. Rajnish Sharma, Dean (Research), CURIN, Chitkara University, India Designer: Mr. Arun Goyal, Student, CSE, Chitkara University, H.P. |