i said randomly taught, not randomly thaught, you are thinking "thought". ANN is randomly taught. As in the teaching data is randomly introduced to the ANN, its not something thats predicted and must be repeated exactly to achieve the same results.
taught - (all used chiefly with qualifiers 'well' or 'poorly' or 'un-') having received specific instruction
rofl.. only cults and academics claim ignorance as an argument. I am a biomedical engineer and have studied ANN & applied different networks to numerous problems. I solve math modelling problems daily. ANN is guided randomness.
Unfortunately this is done by neural learning techniques, "machine learning". So it is essentially randomly taught artificial neurons and the researchers have no idea how the machine solves it. However machine learning techniques, or Artificial Neural Networks (ANN) have alot of potential as custom IC's and computing power become better and better.
Well sir Mary Jane has links to Al Queda through her extensive girlfriend shopping network. She is a immediate and present threat to the safety of America.:|... she also likes the colours green and the singer Madonna.
Custom application definately, but the point of the article is that it combines *discrete* components, resistors, capacitors, inductors and other nontransistor widgets that go into circuit design
CPU, DRAM and Flash are all intensively transistor based devices.
However custom applications for radio transmitter chips (as in TFA) is a awesome example. Combine all RF circuitry into a single chip will make my job multitudes easier. I designed implants for animal testing and the cap's and resistors were 90% of the implant(for this co. www.telemetryresearch.com)
This is cool. There are computer simulated neurons, hardware implemented simulated neurons, and now we have real neurons on a computer chip!:D Cool.
How do they keep the cells alive?.. The silicon must be exposed. Here comes AI & math processor brain implant.
On another note, computer simulated neurons are great at recognising patterns and solving problems. Most character recognition software was based on neuron fuzzy logic
This is good news but not too useful until we can model protein shaping.
The AGCT's code for proteins and so far we can only model very short combinations. All you coders keen for a life project have a crack at it. Theres 20 amino acids formed from combinations of three base pairs. The amino acids have attraction and repulsion properties with each other and their environment and form to make a unique shape. Its the analysis of that 3D shape that will solve:
- all cancer - modelling protein shapes means instant cancer cures
- bird flu - again modelling proteins means instant antibodies to diseases
- the most toxic substance ever invented - it will also open up designer drugs
Im not saying that it causes cancer, Im simply saying that it will affect cells. Kinesin transports substances within cells, pretty much all substances. This includes DNA through the pores in the nucleus membrane and proteins to the rough ER. If these get mis-directed cells can malfunction, cancer is simply mutated DNA. Malfunctions will make mutations more likely.
MRI machines have magnetic fields in many many tesla's. I doubt they can recreate this field strength on a chip, so they make use of the distance-squared field strength rule. They dont say the strength so any pondering on this front is purely conjecture.
Hottest toy for next Christmas! Train sets so small you can't see them!
Seriously though, as a biomedical engineer, this is bloody scary.
This was the first time that this orientation-dependency of the electrophoretic mobility was observed.
- This occurs in the body, we have microtubles and kinesin in all our cells. The 'research' has shown for *years* that magnetic fields have *no* effect on cancer etc.. so.. it controls Kinesin, but wont affect cells? please.
You make a good point about recharing batteries, however there are emerging technologies that fix this issue. For example in Germany they are operting Super-Capacitor driven trams. Super caps recharge in a matter of minutes and with the speed of current develops I think we will be seeing alot more of these in the future.
As a side note, super caps are also much more efficient then charging a battery. Typical efficiencies of battery recharging is 66%, super caps are closer to 100.
There are dozens of soon to be applications on google.
Slashdot Mirror
i said randomly taught, not randomly thaught, you are thinking "thought". ANN is randomly taught. As in the teaching data is randomly introduced to the ANN, its not something thats predicted and must be repeated exactly to achieve the same results. taught - (all used chiefly with qualifiers 'well' or 'poorly' or 'un-') having received specific instruction
rofl.. only cults and academics claim ignorance as an argument. I am a biomedical engineer and have studied ANN & applied different networks to numerous problems. I solve math modelling problems daily. ANN is guided randomness.
Unfortunately this is done by neural learning techniques, "machine learning". So it is essentially randomly taught artificial neurons and the researchers have no idea how the machine solves it. However machine learning techniques, or Artificial Neural Networks (ANN) have alot of potential as custom IC's and computing power become better and better.
Well sir Mary Jane has links to Al Queda through her extensive girlfriend shopping network. She is a immediate and present threat to the safety of America. :|... she also likes the colours green and the singer Madonna.
Custom application definately, but the point of the article is that it combines *discrete* components, resistors, capacitors, inductors and other nontransistor widgets that go into circuit design
CPU, DRAM and Flash are all intensively transistor based devices.
However custom applications for radio transmitter chips (as in TFA) is a awesome example. Combine all RF circuitry into a single chip will make my job multitudes easier. I designed implants for animal testing and the cap's and resistors were 90% of the implant(for this co. www.telemetryresearch.com)
This is cool. There are computer simulated neurons, hardware implemented simulated neurons, and now we have real neurons on a computer chip! :D Cool.
How do they keep the cells alive?.. The silicon must be exposed. Here comes AI & math processor brain implant.
On another note, computer simulated neurons are great at recognising patterns and solving problems. Most character recognition software was based on neuron fuzzy logic
New Zealand (23%),
:|
Yeah we have too many sheep here in NZ.. of course we have a low piracy rate.. That'd require people to know what a computer was
Why not just teliport people into space like startrek? Matter transporters. *They* are the future. Invest today!
you guys obviously have no world domination experience.
Modelling AntiGens -> Custom Antibodies -> Instant Cancer Cure.
Modelling AntiGens -> Custom Antibodies -> Instant Killer Toxin.
And with water. Mix. Serve Cold.
This is good news but not too useful until we can model protein shaping.
The AGCT's code for proteins and so far we can only model very short combinations. All you coders keen for a life project have a crack at it. Theres 20 amino acids formed from combinations of three base pairs. The amino acids have attraction and repulsion properties with each other and their environment and form to make a unique shape. Its the analysis of that 3D shape that will solve:
- all cancer - modelling protein shapes means instant cancer cures
- bird flu - again modelling proteins means instant antibodies to diseases
- the most toxic substance ever invented - it will also open up designer drugs
screw this! bring on metric time!
Im not saying that it causes cancer, Im simply saying that it will affect cells. Kinesin transports substances within cells, pretty much all substances. This includes DNA through the pores in the nucleus membrane and proteins to the rough ER. If these get mis-directed cells can malfunction, cancer is simply mutated DNA. Malfunctions will make mutations more likely.
MRI machines have magnetic fields in many many tesla's. I doubt they can recreate this field strength on a chip, so they make use of the distance-squared field strength rule. They dont say the strength so any pondering on this front is purely conjecture.
Hottest toy for next Christmas! Train sets so small you can't see them!
Seriously though, as a biomedical engineer, this is bloody scary.
This was the first time that this orientation-dependency of the electrophoretic mobility was observed.
- This occurs in the body, we have microtubles and kinesin in all our cells. The 'research' has shown for *years* that magnetic fields have *no* effect on cancer etc.. so.. it controls Kinesin, but wont affect cells? please.
evil overlords stopping underground communication!! fight the system!! Oh its just a trial.. right.. err
You make a good point about recharing batteries, however there are emerging technologies that fix this issue. For example in Germany they are operting Super-Capacitor driven trams. Super caps recharge in a matter of minutes and with the speed of current develops I think we will be seeing alot more of these in the future. As a side note, super caps are also much more efficient then charging a battery. Typical efficiencies of battery recharging is 66%, super caps are closer to 100. There are dozens of soon to be applications on google.