Just one example of many of the need to properly model the dendritic computation is the hippocampal CA1 pyramidal neurons performing 2 different computations depending on the spatial distribution of the incoming signal (and level of synchrony). Either it performs input strength encoding or feature detection. You can't ignore this and end up computing the same thing, your end result will be different.
Well, if we consider the example of object recognition happening in dendrites of human visual system, that requires a neural network all by itself to emulate. It's absolutely doable, but there is a huge difference between integrate and fire and a non-linear NN style mapping of input to output. There are other examples of dendritic signal processing which all point to neural computation really being a level below the neuron, each neuron is a network in it's own right. So, instead of 302 neurons, to properly emulate, we may need 302 * 10,000 computing nodes ("neurons").
Don't get me wrong, I like it, my point was just a word of caution about what has been accomplished with this. The neuron is constantly getting more complex as they learn more and the older assumptions about being able to emulate at that level are pretty much gone by neuroscientists.
Researchers are finding that those dendritic computations are frequently very important. One example is that object recognition happens in the dendrites in human visual system. Another example is that backwards spiking in the dendrites is a key part of learning. Maybe you can emulate the dynamic learning algorithm but I seriously doubt they figured it out and are emulating it, which means the system is not dynamically adjusting the same way the worm does.
They did not emulate the functionality of a neuron. If you read up on the subject you will find that the neuron is a network all by itself with spikes moving forward and backward, local spikes on the dendrites, the dendritic tree performing multiple simultaneous linear and non-linear computations, etc. etc. etc. They used an extremely simplistic formula that completely skips over these computations that have been shown to be very important for the proper functioning of the neuron.
99.99% of all software patents are trivial for a skilled dev and have been coded by many parties in many forms in many environments over the last 60 years. There is very little software that is non-obvious to any skilled person in the field.
Apparently the information at MS is not very fluid, so this is a serious attempt at making that information much more fluider
and ideas
This one suspiciously coincides with the legalization of pot in WA state
flatten the organization
I think this is really a statement about facilities, there is a lot of wasted vertical space so most likely they will be installing something like those Japanese "drawer" hotels (where the person lays in what looks like a human sized drawer). They should be able to put a screen and keyboard in there so people can work laying down. I'm guessing they can get 3x more people in each building with this system.
How do you define best? Just because you've heard of someone doesn't mean they are the best. I programmed games back in the 80's and during that time I ran into like-minded people and within that group it's tough to tell, different people have different attributes, It certainly possible to tell who has natural talent, but I don't think "best" even makes sense.
That worm brain is well studied, but they still do not understand how it works. Whenever you see something about someone simulating a human brain, or a cat brain, or a rat brain, just remember that the people working on this stuff realize that even 302 neurons are still too many to understand currently.
Longer answer: There is much complexity and the real answer would probably cover a few books. But a few highlights: neurons have their firing rate and their spike levels modulated by a variety of things in the brain. Glial cells (which are 10x more numerous than neurons) inhibit and disinhibit neurons, communicate with each other and are involved in computation. Some neuron communicate with a continuous flow of protons (inner ear, acceleration detection), some fire locally on their dendrite instead of the typical method of sending a signal down the axon. There have also been recent discoveries linking microtubule quantum vibrations to anesthesia effects (implying it is part of computation).
I always wondered why that mission failed so badly and then I read up on our special forces. They had only been formed fairly recently before that mission (a few years?) and that mission was one of the first. I was surprised, I had assumed we had those types of special forces groups in the military for a long time.
For me, coding/design/problem solving seems to be mostly 3d abstract visual with objects being represented by some abstract entity and interactions that I can "see" (in quotes because I'm not sure that's what's really going on) and manipulate.
Reading or writing code is a translation to/from the imagery which is the real "code". The imagery is the abstract representation of the solution and where the problem solving happens.
Ok, I'll get on that right away.
Just one example of many of the need to properly model the dendritic computation is the hippocampal CA1 pyramidal neurons performing 2 different computations depending on the spatial distribution of the incoming signal (and level of synchrony). Either it performs input strength encoding or feature detection. You can't ignore this and end up computing the same thing, your end result will be different.
Well, if we consider the example of object recognition happening in dendrites of human visual system, that requires a neural network all by itself to emulate. It's absolutely doable, but there is a huge difference between integrate and fire and a non-linear NN style mapping of input to output. There are other examples of dendritic signal processing which all point to neural computation really being a level below the neuron, each neuron is a network in it's own right. So, instead of 302 neurons, to properly emulate, we may need 302 * 10,000 computing nodes ("neurons").
Don't get me wrong, I like it, my point was just a word of caution about what has been accomplished with this. The neuron is constantly getting more complex as they learn more and the older assumptions about being able to emulate at that level are pretty much gone by neuroscientists.
Researchers are finding that those dendritic computations are frequently very important. One example is that object recognition happens in the dendrites in human visual system. Another example is that backwards spiking in the dendrites is a key part of learning. Maybe you can emulate the dynamic learning algorithm but I seriously doubt they figured it out and are emulating it, which means the system is not dynamically adjusting the same way the worm does.
They did not emulate the functionality of a neuron. If you read up on the subject you will find that the neuron is a network all by itself with spikes moving forward and backward, local spikes on the dendrites, the dendritic tree performing multiple simultaneous linear and non-linear computations, etc. etc. etc. They used an extremely simplistic formula that completely skips over these computations that have been shown to be very important for the proper functioning of the neuron.
Kamikazes Per Hour?
They've installed the Kiva robots in a few DC's and they are continuing to expand their usage.
99.99% of all software patents are trivial for a skilled dev and have been coded by many parties in many forms in many environments over the last 60 years. There is very little software that is non-obvious to any skilled person in the field.
1 - Startup
2 - Cash in
3 - Sell out
4 - Bro down
Why not automatically scan the printed document and email it to the person?
Good point, I better print the email reminder and place that in the three ring binder that sits behind my desk.
increase fluidity of information
Apparently the information at MS is not very fluid, so this is a serious attempt at making that information much more fluider
and ideas
This one suspiciously coincides with the legalization of pot in WA state
flatten the organization
I think this is really a statement about facilities, there is a lot of wasted vertical space so most likely they will be installing something like those Japanese "drawer" hotels (where the person lays in what looks like a human sized drawer). They should be able to put a screen and keyboard in there so people can work laying down. I'm guessing they can get 3x more people in each building with this system.
"Sirs, I am happily to provide benefit of a unique opportunity. The Bank of Ursa Major has..."
There is too much momentum for what is being used today, it's almost impossible to dislodge a de facto standard.
How do you define best? Just because you've heard of someone doesn't mean they are the best. I programmed games back in the 80's and during that time I ran into like-minded people and within that group it's tough to tell, different people have different attributes, It certainly possible to tell who has natural talent, but I don't think "best" even makes sense.
"but these days they have been surpassed in most areas" - their last CPU outperformed rival phone CPUs.
They've been hiring CPU and GPU designers for the last few years and their last CPU was their own design and outperformed rival CPU's at the time.
from his new book "If Only God were as Smart as Me!"
That worm brain is well studied, but they still do not understand how it works. Whenever you see something about someone simulating a human brain, or a cat brain, or a rat brain, just remember that the people working on this stuff realize that even 302 neurons are still too many to understand currently.
Short answer: yes, different levels.
Longer answer: There is much complexity and the real answer would probably cover a few books. But a few highlights: neurons have their firing rate and their spike levels modulated by a variety of things in the brain. Glial cells (which are 10x more numerous than neurons) inhibit and disinhibit neurons, communicate with each other and are involved in computation. Some neuron communicate with a continuous flow of protons (inner ear, acceleration detection), some fire locally on their dendrite instead of the typical method of sending a signal down the axon. There have also been recent discoveries linking microtubule quantum vibrations to anesthesia effects (implying it is part of computation).
I can believe they have universities, the buildings at least, but I'm a little suspicious about the whole "student" thing.
I always wondered why that mission failed so badly and then I read up on our special forces. They had only been formed fairly recently before that mission (a few years?) and that mission was one of the first. I was surprised, I had assumed we had those types of special forces groups in the military for a long time.
or my 16oz latte is going to get cold and I will need to buy another one.
For me, coding/design/problem solving seems to be mostly 3d abstract visual with objects being represented by some abstract entity and interactions that I can "see" (in quotes because I'm not sure that's what's really going on) and manipulate.
Reading or writing code is a translation to/from the imagery which is the real "code". The imagery is the abstract representation of the solution and where the problem solving happens.