Internet of Things (IoT) & Entertainment Industry

This week’s guest speaker, Nick Colsey, VP of Business Development at Sony, made a rather interesting claim: “Smart TV changed the way content was distributed, but it didn’t particularly change the way content was made.”1 I believe his claim is partially true and partially false. It is correct that there are more distribution channels due… Read more Internet of Things (IoT) & Entertainment Industry

The 2016 Dyn Attack and its Lessons for IoT Security

On October 21, 2016, the largest distributed denial of service (DDoS) attack took place, shutting down most of the Internet, including Twitter, Amazon, GitHub, and the New York Times.[1]  The attack targeted Dyn, a company that services a large share of the internet’s domain name system (DNS) infrastructure, and lasted for most of the day.… Read more The 2016 Dyn Attack and its Lessons for IoT Security

How to Win IoT Field: Japanese companies are struggling

In 2016, the news was spread all over Japan that Sharp was taken over by Taiwan EMS company, Hon Hai. Sharp had been leading Japanese economy, but those days their performance was below expectation because Chinese or Korean companies were expanding market shares in global market. [1] Toshiba, also famous for electronics, has considerable financial… Read more How to Win IoT Field: Japanese companies are struggling

What is Social Impact Investing?

During Milo Werner’s talk, she introduced the idea of social impact investing through this eye-opening statistic: “700 million people have a rich lifestyle … but 7 billion people want the same thing!” This idea of many people wanting what the few have motivated Khosla Ventures’ slogan of “reinventing societal infrastructure with technology.” [1] She talked… Read more What is Social Impact Investing?

How to measure deep learning performance?

With the huge success of deep learning in various fields, there is a critical question we need to answer. How to measure deep learning performance? In 2018, NVIDA president and CEO put forward the PLASTER framework to answer it [1]. PLASTER stands for Programmability, Latency, Accuracy, Size of a model, Throughput, Energy efficiency, and Rate… Read more How to measure deep learning performance?

Art vs Automation – the Rolls Royce dilemma

Art vs Automation – the Rolls Royce dilemma By Victor Moran   At the beginning of the 20th century, the Rolls Royce company was founded by “Henry Royce, a successful engineer and Charles Rolls, owner of one of the UK’s first motor car dealerships” (1). By 1907, the Silver Ghost was declared the best car… Read more Art vs Automation – the Rolls Royce dilemma

Keeping Paul Safe - Satellites and the IoT

One my good friend’s dad loves to hike alone in remote areas near Yosemite. Let’s call him Paul. Paul has had some health issues, and my friend worries about Paul getting incapacitated while he’s miles away from the lodge where he stays. There is very limited cell coverage in this area. My friend wants his… Read more Keeping Paul Safe - Satellites and the IoT

Plato's Republic of Blockchain. Re-tooling Lincoln's vision.

Lincoln’s fabled quote: “Government of the people, by the people, for the people, shall not perish from the Earth” could never have contended the reality it does in 2018 all over the world. Democracy is in peril. Trust as the currency of governance has lost its value in a world where demagoguery wins the day.… Read more Plato's Republic of Blockchain. Re-tooling Lincoln's vision.

The BIGGEST BIG data!

There has been recently lot of car breaking on Stanford campus. A good way to stop this would be to have security through smart video surveillance: surveillance video cameras that can take decisions and alert the security team without a guard watching the video live 24h. We would have caught some of these bad guys… Read more The BIGGEST BIG data!

Big Data: A Terminal End

Recently, Facebook announced their revenue and performance expectations going forward.   It was less than impressive, which ended in $120 billion being wiped off their market value [1].  A large part of this was triggered by a consumer belief that they no longer trusted Facebook to protect their data [2].  It has long been accepted that… Read more Big Data: A Terminal End