Posts by Aarohi Desai
Aarohi Desai is a Product and Practice Marketing Manager at eInfochips. She holds a Master's degree in Electrical and Computer Engineering from Georgia Tech and was working with NVIDIA in Silicon Valley before joining eInfochips. Leveraging her technology domain and experience, she is now focusing on enabling embedded solutions based on Qualcomm Snapdragon Platforms at eInfochips.
2.5D and 3D ICs: New Paradigms in ASIC
On May 4th, 2011, Intel Corporation announced a radical shift in the semiconductor technology in the last 50 years, the first 3D (three-dimensional) transistors. The new 3-dimensional transistor design enables the production of integrated circuit chips that operate faster with less power.
Eragon for Edge Computing and Processing: The heart of next-gen...
IoT solutions have been continously growing in the past few years and have opened up new avenues for improvement. IoT devices and sensors now need to evolve and become smarter, which requires faster computing and processing on the edge. This blog discusses how Edge computing can help creating better
The Future of Healthcare: IoT, Telemedicine, Robots & Artificial Intelligence
As latest technology trends continue to sweep the global healthcare industry, we are witnessing medical device providers offering a range of innovative solutions to improve the quality of patient care. From physical devices to smart systems powering those devices, new technological advances are helping
Last month 3DR introduced the world's smartest drone - 3DR Solo. 
Qualcomm CES 2015 Round-up for “Internet of Everything”
Going Beyond the Smartphone Segment
Qualcomm is experiencing tremendous success, in the smartphone and tablet segment. Snapdragon processors have evolved considerably over the years, and are forever in one-upmanship in grabbing sizeable market stakes. Building on it, the company unveiled an
Achieving 50ms latency for video conferencing on Linux with the...
So what does it take to implement a low-latency (50ms glass-to-glass) video conferencing solution based on OpenEmbedded build with Linaro Linux Kernel? It is a greater challenge, as we use only software codecs (H.263 and Speex) and limit CPU utilization to 25%.