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Tagware Crew goes to Future Decoded at Excel – Machine Intelligence

Which, brings you into what Machine Intelligence is all about. Where it is impossible for a human brain to have sufficient resource to look at these data sets. Due to the boredom level increasing by the hour. The computers are starting to be able to look for specific traits and adapt the code to suit. Within, the Microsoft Research session we were also introduced to APIs from Project Oxford that can now be used for facial recognition and emotion recognition.

Now, this is not the real AI. We are not in the Terminator level of control quite yet. But, I believe we are starting to get to the HAL level in the epic film 2001 space odyssey (1968). So, you already have Microsoft’s Cortana and Apples Siri and Google API Option. Perhaps, not quite as evil as HAL turns out. Give them time. They are trying to build up trust here. :o)

 

This film probably kicked me into computers in the first place!

But, the holding a conversation and controlling the day to day elements of the space ship is well within the grasp of the system. One of the things that people forget with NASA projects. Is that they have to jump at a technology at one point that will turn out to be many years behind. When they actually get to launch the project several years later. Think about it for a second. They have to choose now what they will be using in 10 years time. Think back 10 years on what has changed in that time alone.

The other point. Which, starts to make your mind go ouch. Is that the exponential growth that can occur.

For an example. The GENOME project. This is where they were trying to break down the human D.N.A. In 2001, the first year they had got to 1% of the chain had been completed. Numerous people said that the project team should give up. You only have 7 years of funding and you have only reached 1% in this year alone. You not going to make it by year 7. However, because of the exponential growth, they reach the goal in 6.5 years!

Now you heard of More’s Law. Where computing power doubles every 18 months! Yep, that small problem using the current set of CPU would have taken less than 1.5 years! Scary in one sense and truly wonderful in another.

However, getting back to the show. Kevin Ashton made some predictions as listed below;

  • You will own a self-driving car by 2030
    Your great-grandchildren will have a 3-digit life expectancy
    We will discover extra-terrestrial life in this century
    Within the next 100 years, a human being will be born on another planet
    By the end of the 22nd century, most people will be vegetarian
    We will survive climate change
    Within 20 years most computers will power themselves – this is the IoT prediction

His point was making the predictions was easy! Actually, believing them was the hard bit. He pointed out that it didn’t matter if he got the “Climate Change” one wrong. As there probably wouldn’t be anyone in the room to say “told you so!” when it didn’t happen.

The not so future is already here? – “Computers will power themselves” Click here to read on >>

 

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Tagware Crew goes to Future Decoded at Excel – Technology and Cows

Well, it seems that an academic research paper had pointed out that cows tend to move around a lot when they are in season. Using the WiFi enabled pedometer and the Cloud. All of this data could be reviewed by an analytical piece of software to highlight the times when this occurred.

So, I can hear you say. So, what! Well because they can review this data in such away. They can indicate to the farmer. When is the most effect time to introduce a Bull into this equation? Which is a surprisingly short 8 hour period. What’s more. If, your cow was serviced in the first 4 hours. You statistically seemed to get cow’s and in the later 4 hours of the period, you are more likely to get Bulls.

This period also tended to happen in the middle of the evening. When most sensible farmers are trying to sort out the accounts or even eat! However, by knowing this information. The farmer was able to boost his herd from 39% hit rate to 66% by using this data. So, it was well worth going hungry during that period for the farmer.

However, for us. It points to the way of things to come. Our natural world is currently untapped data resource. Yes, Amazon does know what you want in terms of food, clothes etc. However, the natural world is a large place. Up to now. It would have been very expensive to feed this data into a data centre and analyse this amount of data points.

10 years ago, there would be quite a few people, that wouldn’t have said that the above was either too expensive or impossible to do.

As another later session presenter at Future 2015 said. That is a dangerous thing to say.

From my personnel experience from when I was running the CCS Computer Services in 1982 and sold and installed AutoCAD™ from the small independent USA software house call Autodesk Inc. See what has happen to that over that time span! I remember thinking that a Intel 8086 with 32Mb (Yep, that right. you probably go more on your Graphic Cards today!). Yes, you read that right. 32Mb of RAM and the subsequent 8087 processor that made it go 47% fast was the best thing since slice bread. Little did I know…..

Click here to read about Machine Intelligence >>