Spot @ Stroke, available on the Play store

10 Oct

Spot @ Stroke on the Google Play storeLiveOnPlayStore

I published my Spot @ Stroke app to the Play store this week, it is an app to designed to help people living at risk of Stroke.

One of my friends asked me what my motivation behind doing the app, and I remembered and here is the story behind the app.

A while back I wrote about a billion dollar deal that changed the world, where a book was published by the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM-III) in 1980 which had over 205 categories of conditions, with:

1, The condition

2, Treatment for the condition

3, Recommend medication for the treatment

So, with this in mind, I know of a test for people that may of had a stroke

1, Take a photo of their face, to see if one side is drooping


2, Take a photo of their tongue sticking out, if the tongue is crooked, that might be a sign of a stroke


3, Take a video of the user, if the users speech is slurred, that might be a sign of a stroke


My target user is this woman, she went to hospital and was sent home, she captured the symptoms on her phone to prove to doctors that in fact she experienced a mini-stroke


With this in mind, I created an app that a user could do the following:


Spot@Stroke is an app that enables people at risk of having a stroke to monitor your health in the comfort of their own home.

The user is able to:
1, View a Stroke check list
2, View/Add contacts
3, View and send position VIA SMS
4, Take two photos of key symptoms of a Stroke
4.1 Take a video of a key symptoms of a Stroke
5, View previous photos/videos and share the media through many platforms
6, And we even have a handy flash light for your use

This app is currently in English, Spanish, Russian and Ukrainian

Download the Spot @ Stroke Appgoogle-play-badge


Henrietta Leavitt and Artificial IQ

4 Jun


I was reading about a book called AIQ yesterday, AIQ is based on a simple premise:

If you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach you that language but in an unconventional way, anchored in stories rather than equations.

In 1912 an American woman, Henrietta Leavitt worked out how to measure the true brightness of of stars by a prediction rule drawn from the pulsating of stars, As a result of Henrietta’s work, scientists have been able to measure distances of objects millions of light years away.

Cepheid variable, Henriettas dicoverydeltacephei

She found that a certain type of star, the Cepheid variable, pulses at a rate that’s related to its brightness. A Cepheid variable star’s pulse rate reveals the star’s true, fundamental brightness. The amount by which the star’s brightness is dimmed by distance allows the star’s distance from the earth to be calculated and the universe could be mapped out.

Henrietta’s developed a method of ‘training the model’, which is hugely scaled up with AI, which can learn from living examples, from the vast amount of data we create every day, an approach with is flexible and not rigid. These ideas are taking off in the world of  Alibaba, China’s $24 billion EBay version. Alibaba Algorithms are based on Henriettas ideas.

Alibaba is making a big play in Cloud Computingali2

Alibaba is predicting orders weeks in advance of the users clicking  by constantly changing its prediction model, based on the vast live streaming data sets, it learns as it goes, and it gets better and better.

But Alibaba’s ambition is to be the leader in providing cloud-based AI. Like cloud storage (think Dropbox) or cloud computing (Amazon Web Services), cloud AI will make powerful resources cheaply and readily available to anyone with a computer and an internet connection, enabling new kinds of businesses to grow.

The real race in AI between China and the US, then, will be one between the two countries’ big cloud companies, which will vie to be the provider of choice for companies and cities that want to make use of AI. And if Alibaba is anything to go by, China’s tech giants are ready to compete with Google, Amazon, IBM, and Microsoft to serve up AI on tap. Which company dominates this industry will have a huge say in how AI evolves and how it is used.

They dont mention Henrietta Leavitt, but this is what Alibaba say…

But at Alibaba, “We have our own computing power, we have our own algorithms and the Alibaba economy itself is the world-leading use-case for artificial intelligence,” he said.

E-commerce, financial payments, logistics, entertainment—all of these different application scenarios exist within the Alibaba ecosystem. And the company has algorithm-based, real-time updating based on all of data collected from its products, from the commerce on its platforms, and around its users.

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