Here is a new post on the function of biological neurons. It is the first of several that will lead to the use of neural nets in Artificial Intelligence.
Everybody today takes the current smartphone for granted. It is the way it is because it is so logical to do it this way. Momentum scrolling of lists, with a bounce at the end, making a call with music playing, different software keyboards, etc etc etc.
Yet the original design of a computer in your pocket was anything but simple. This video from Wall Street Journal [link] briefly tells the story of the process.
A few weeks ago, Apple held its Developers Conference (WWDC) opening with the keynote address where Tim Cook and friends introduced new features of their line of products. While many focused on the iPad Pro, the new iOS and Mac OS features or the HomePod speaker, for the long term, the real news for the investor is the Augmented Reality (AR) capabilities introduced (and the related Machine Learning).
In an earlier article I explained the importance of Augmented Reality as well as some of the technical details that make it so difficult.
The ARKit is an Applications Programming Interface (API) – a tool kit to help developers to write applications. With ARKit in particular – a tremendous amount of power is built in under the hood. Imagine if in order to drive a car you first had to build one from scratch – I mean starting with a block of aluminium to mill out the block and head, etc. This is what this API does for you – it gives you a car to drive. You can paint it and modify it and carry in it what you please. But the body and engine and electric systems are
Apple, has been accused for a long time of not innovating. This goes back to the time of Steve Jobs when a certain group of people lived in a reality-warp that denied anything positive out of Apple. It continues now in the oft repeated meme: “Since Steve has gone, Apple no longer knows how to innovate.”
It amuses me that this usually comes from analysts or writers who – for the most part – themselves have never created anything of value themselves. Typically,t
hey know little of the creative process, and even less about technology. Oh sure, they know technological products, but next to nothing about how they work – that is, nothing about neither the physical hardware nor the software systems that drive the gadgets they critique. In short, they could not tell a bit from a case statement, and have never created even a simple electronic product.
3 Main problems – unrealistic expectations
Note 7: Why Keepers Are Fools
In another post on this topic, I discussed the human psychology that likely led to Samsung’s exploding battery problems. Here I will discuss another example of that psychological tendency in a related phenomenon – the Note 7 “keepers.”
As wild as it sounds, there are some people who have decided to keep their Note 7, in spite of the recall. Again, this gives us a great look into human psychology. What we see here is a case of:
- “I want this so how can I justify it?”
Philosopher William James once penned that Logic is what one wants to believe. Now this was part of a much longer discussion on the topic that qualified this, but this case shows it beautifully.
Perhaps the strongest proponent of this is that of Mashable contributor Josh Dickey. Here we see a great example of using pseudo-logic to justify a truly illogical choice because he wants to keep his Note 7.
In a post he argues:
can we take a math break for a second?
Because when you do that, owning this supposed ticking time bomb is still statistically less dangerous than the act of getting in your car…
NO – this is NOT a scam. But it is not really a new MBP – this is how to make your old MBP feel like new.
How does it work? The answer is simple.
First – understanding why your older Mac is running slow.
Since the Macbook Air started using solid state drives (SSDs), slowly virtually all new Macs have moved to this storage. Instead of a disk that spins like a CD or a 45 RPM record, SSD is a bank of electronic memory. It is similar to the RAM in the computer, except that it does not loose all the data when shut down.
It is many times faster than the old spinning disks – and herein lies the problem.