A neural network is, at the end of the day, glorified curve-fitting. But it beat all the other methods (and there are many, with very diverse underlying math) at a few tasks, like machine translation, image and voice recognition, etc. It does well even for robot object manipulation apparently, a totally different application. But it looks likely that it is way too simple a model to solve intelligence. It could still be useful, perhaps in combination with some other methods or models. For example, AlphaGo uses Monte Carlo tree search in combination with neural networks. Maybe the final architecture will be several low-level modules based on neural networks, dealing with things we find hard to express explicitly, eg, vision, voice, locomotion, pattern recognition, and on top of that higher level models that deal with the world at the level of concepts, also models for reasoning and inference, massive databases of real-world knowledge, and extensive training over decades using reinforcement learning and many human teachers in parallel.
The gene drive won't be able to jump species to get to humans. It won't get even to rats, as mice and rats are too different. Yet, it is likely that all species of mice on all continents will be gone if this is implemented. That's a much huger effect than wiping some mosquito species.
First, it is a tiny continental fragment, not a whole continent.
Second, their evidence is based only tiny crystals washed ashore, as all island is covered in more recent lava. I will trust this more when they actually drill through that one or two km of lava to recover the actual ancient continental crust.
Universal basic income is good and all, but with free time, leisure and this supposed surge in creativity also comes all sorts of problems that happen when you have a bunch of people with nothing else to do.
There have always been a largish (10%-30%) proportion of the population who are able adults but not holding a job. They don't just go rioting or drinking themselves to death. The hope is that more leisure and abundance will decrease conflicts and extreme ideology, which is at the source of many of today's problems.
> As a result of pilots needing to dodge strong turbulence, flight paths will become longer, and fuel consumption and carbon dioxide emissions will increase—possibly leading to even more turbulence."
To say that the longer flight paths will add enough carbon dioxide to increase the turbulence even more is just plain silly. This is a second order effect.
I don't think they will be liable for the illegal things customers store any more than they are liable for emails in GMaill of folks with criminal intentions.
A lot of vague marketing-speak in this article. "Deep learning"? The article basically talks about neural networks, just one of the techniques in machine learning. Neural networks were hyped for a long time, perhaps because of the catchy name.
Hopefully they won't just rebrand their services, but make them work better with each other. I think it is still not possible to attach pictures from Picasa and documents from Google docs when sending mail from gmail. There are other places where Google's services don't talk to each other very well.
Google, for example, is doing a lot of things except making people click on ads.
* Intelligent search, this one day will progress into natural language understanding and even AI
* Image recognition, this one day may help robots understand their surroundings
* Voice recognition, again, useful
* How to efficiently manage massive data centers, great for creating future infrastructure
Even clicking on ads, requires sophisticated AI techniques which are useful in many other areas
The pattern I've always seen is the opposite: job titles are exaggerated, to the point that test engineers are called "senior enterprise product developers", folks who run the tools are called "senior engineering directors", etc.
Do get your master's if you can, I am telling you that as somebody working in the industry. A master's (or a PhD) is a very distinguishing feature, while two years of experience is not. Also, two more years in school can give you (different kind of) insights and deep knowledge which two years of work can't.
Having achieved a high level of education before you start a full-time job and getting family will reward you handsomely in long term.
Wikipedia does allow sockpuppets to edit (that is, the same person having multiple accounts). What it does not allow is for that person to abuse this (e.g., use two accounts in turn to do reversions to bypass the three-revert rule). ~~~~
The article says supplies can be sent
to the austronauts there once in two years,
when Mars is closest. That is obviously not often enough. Plenty of food is needed for two years for several people, and not much
can be grown on Mars for in the first year or even decade.
Slashdot Mirror
A neural network is, at the end of the day, glorified curve-fitting. But it beat all the other methods (and there are many, with very diverse underlying math) at a few tasks, like machine translation, image and voice recognition, etc. It does well even for robot object manipulation apparently, a totally different application. But it looks likely that it is way too simple a model to solve intelligence. It could still be useful, perhaps in combination with some other methods or models. For example, AlphaGo uses Monte Carlo tree search in combination with neural networks. Maybe the final architecture will be several low-level modules based on neural networks, dealing with things we find hard to express explicitly, eg, vision, voice, locomotion, pattern recognition, and on top of that higher level models that deal with the world at the level of concepts, also models for reasoning and inference, massive databases of real-world knowledge, and extensive training over decades using reinforcement learning and many human teachers in parallel.
The gene drive won't be able to jump species to get to humans. It won't get even to rats, as mice and rats are too different. Yet, it is likely that all species of mice on all continents will be gone if this is implemented. That's a much huger effect than wiping some mosquito species.
First, it is a tiny continental fragment, not a whole continent. Second, their evidence is based only tiny crystals washed ashore, as all island is covered in more recent lava. I will trust this more when they actually drill through that one or two km of lava to recover the actual ancient continental crust.
with a universal basic income
Has he done the math as to how much that would cost?
Almost nothing, if the robots are doing almost everything.
Universal basic income is good and all, but with free time, leisure and this supposed surge in creativity also comes all sorts of problems that happen when you have a bunch of people with nothing else to do.
There have always been a largish (10%-30%) proportion of the population who are able adults but not holding a job. They don't just go rioting or drinking themselves to death. The hope is that more leisure and abundance will decrease conflicts and extreme ideology, which is at the source of many of today's problems.
Who else is going to take care of the old people in developed countries and the new babies in the developing countries?
Who will take care of elderly robots though? But this is all irrelevant. Where is my fembot?
To say that the longer flight paths will add enough carbon dioxide to increase the turbulence even more is just plain silly. This is a second order effect.
I don't think they will be liable for the illegal things customers store any more than they are liable for emails in GMaill of folks with criminal intentions.
A lot of vague marketing-speak in this article. "Deep learning"? The article basically talks about neural networks, just one of the techniques in machine learning. Neural networks were hyped for a long time, perhaps because of the catchy name.
Hopefully they won't just rebrand their services, but make them work better with each other. I think it is still not possible to attach pictures from Picasa and documents from Google docs when sending mail from gmail. There are other places where Google's services don't talk to each other very well.
Google, for example, is doing a lot of things except making people click on ads.
* Intelligent search, this one day will progress into natural language understanding and even AI * Image recognition, this one day may help robots understand their surroundings * Voice recognition, again, useful * How to efficiently manage massive data centers, great for creating future infrastructure
Even clicking on ads, requires sophisticated AI techniques which are useful in many other areas
The pattern I've always seen is the opposite: job titles are exaggerated, to the point that test engineers are called "senior enterprise product developers", folks who run the tools are called "senior engineering directors", etc.
Do get your master's if you can, I am telling you that as somebody working in the industry. A master's (or a PhD) is a very distinguishing feature, while two years of experience is not. Also, two more years in school can give you (different kind of) insights and deep knowledge which two years of work can't. Having achieved a high level of education before you start a full-time job and getting family will reward you handsomely in long term.
Wikipedia does allow sockpuppets to edit (that is, the same person having multiple accounts). What it does not allow is for that person to abuse this (e.g., use two accounts in turn to do reversions to bypass the three-revert rule). ~~~~
The article says supplies can be sent to the austronauts there once in two years, when Mars is closest. That is obviously not often enough. Plenty of food is needed for two years for several people, and not much can be grown on Mars for in the first year or even decade.