Thread regarding Intel Corp. layoffs

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It looks like to do actual speech at the speed humans do and comprehend. Computers have to be at least 200 times faster than today. Add sight, hearing and you are easily multiples of that.

Intel space has lots of room. NEURAL NETS are best 1000 deep will need to get to 20,000 for Auto drive, very doable. Getting to several millions very hard. TOPOLOGICAL COMPUTING is not trival. I am a new hire at Intel (2 years). I see the future very bright, but the Technical horse power at Intel very weak. The group I am in is very small almost all Germans, Israeli, Indians, Chinese not one US born Engineer. Everyone has a PhD and very fun place to work. Don't sell Intel short especially the young Engineers. The .001% will win. Intel has a lot going on.

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| 971 views | | 9 replies (last February 7, 2017) | Reply
Post ID: @OP+LF6pjtn

9 replies (most recent on top)

A lot of people don't like to win. They actually don't know how to win, and they don't like to win because down deep inside they don't want to win.

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Post ID: @4osj+LF6pjtn

A three-layer Grassberger-type neural network (with feedbacks) already has infinite complexity, and dynamics of which is only very superficially understood. You are talking about 1000-layer network, and above. More, this kind of networks have a very distant resemblance to binary computing, where Intel has some upper hand, so it is not a fact that profess in silicon engineering will put Intel into any better position. To get even small understanding of "topological" computing you really need to get through a couple of fundamental mathematical disciplines of extraordinary complexity, which are taught by just few people in the world, and not in North America. So, dream on.

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Post ID: @3mgh+LF6pjtn

End of work & employment.

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Post ID: @1dgr+LF6pjtn

Thank you for your response. The point you made that freedom meaning is changing during life is valid. Also that autonomous car fleet company can be seen as replacement for 2nd car (considering savings for family budget) is interesting (gateway for adoption). So I see the "money" now and understand more the technology race we are observing.

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Post ID: @1egy+LF6pjtn

Yes lots of cloud.

ADOPTION ISSUES ARE HUGE AND MUCH OF IT IS GENERATIONAL.

YOUNG ppl are not married to cars. Also older ppl are moving away from cars. Cant renew licenses, my Dads case got him a Uber account....cheaper, safer...he loves it and he has freedom....change is always hard until people die or change. Real TCO is high just look at garage, parking space. Six spaces in USA for each driver.

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Post ID: @1lts+LF6pjtn
  1. It's good that you like your work.

  2. Every one knows what will happen (more or less).

  3. The only question is when?

  4. Key factor is economics - TCO vs revenue.

5 People or more general society must be ready to use AI.

The "problem" with AI is not technology but people.

5a. When you say car many think freedom... Autonomous car is against it...

5b. Autonomous cars are safe enought even today under condition that there no human drivers/pedestrians.

5c. What happens when car warranty ends? Does insurrance company will let you use your autonomous car?

5d. Who is the owner of the data captured by car: video / audio - everything will go to cloud. Can we disagree?

...

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Post ID: @nbe+LF6pjtn

@wgp

Yes very early days, but huge advancements. You can fly a plane from US to Tripoli without a pilot, mid air fuel. It's moving much faster than ppl kniw,

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Post ID: @arq+LF6pjtn

OP don't confuse automation versus intelligence, machine learning has a long way to go before achieving intelligence.

AI hasn't advanced at all! All that has advanced is computation and storage and clever scientist and marketers to build their empires of waste.

A skynet is not far away, but true intelligence is far far way.

Good to see your simple mind so easily buying into the kook and koolaid

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Post ID: @wgp+LF6pjtn

Idiot

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Post ID: @rfo+LF6pjtn

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