Gaurav Nakhare
Posts by Gaurav Nakhare
Hardware options for Machine/Deep Learning
by Gaurav Nakhare on July 31, 2017 11:12 am
With last Friday’s talks on Machine Learning (ML), it is clear that we are currently in a boom of ML and AI SaaS products (like Lark, and even Haystack TV). Many of these applications are hosted in public clouds with companies like Amazon, Google, and Microsoft Azure. The details of the hardware deployments are hidden… Read more Hardware options for Machine/Deep Learning
Serverless computing and FaaS
by Gaurav Nakhare on July 24, 2017 2:59 pm
In Friday’s lecture was a brief mention of AWS Lambda and Serverless Computing. As a hardware engineer, I was intrigued and wanted to dig more into this, because the thought of being able to run computing workloads without hardware servers terrifies me! The executive summary of serverless computing is that it is simply an abstraction… Read more Serverless computing and FaaS
Self-driving cars: adoption of a key IoT device
by Gaurav Nakhare on July 18, 2017 8:04 am
With Friday’s lecture focusing on the Internet of Things, including a remarkable talk by the co-founder of Tesla, I have chosen to consider the path of adoption of autonomous driving and associated challenges. After all, with autonomous cars predicted to use over 4000GB of data a day [1], I think they will be the biggest… Read more Self-driving cars: adoption of a key IoT device
The anti-portfolio in the Cloud Age (and beyond)
by Gaurav Nakhare on July 11, 2017 8:48 am
With Friday’s very interesting talk about cloud computing and the role of Venture Capital in the future of this technology, I’ve decided to write about the “Anti-Portfolio” and considerations about technologies beyond the cloud. The Anti-Portfolio is a term coined by VC Fund Bessemer Venture Partners (BVP)[1]. Their website states “Bessemer Venture Partners is perhaps… Read more The anti-portfolio in the Cloud Age (and beyond)
AI and ML at Microsoft, Google, and Apple
by Gaurav Nakhare on July 4, 2017 10:55 am
With machine learning (ML) and artificial intelligence (AI) being of particular relevance to this course as leading trends in IT, and also central themes in the annual developer conferences of 3 tech giants, I have chosen to compare & contrast strategies, products, and approaches in the field. Microsoft at Build, Apple at WWDC, and Google… Read more AI and ML at Microsoft, Google, and Apple
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HW Engineer @ Oracle, Stanford MSEE
Hardware Engineer at Oracle in Boston, MA. Pursuing MSEE at Stanford through HCP.