When I see comments like "they should have changed their software", I don't think those people realize what it's like inside a large organization. New systems are being added rapidly to accommodate new business initiatives, new regulations, etc. Every piece of software that gets put into production immediately starts getting linked to internal processes, reports, data flow etc.
To keep an enterprise system "up to date" by swapping out everything for the newest fad every 3 to 5 years would bankrupt the company. That is why nobody does it.
It's actually a pretty challenging issue to choose vendors and technologies that will last as long as the applications need to last, or that will at least gracefully evolve into the future as opposed to "hey, yesterday we were all in on technology X but today we are shifting 180 degrees and now we are all in on technology Y, this is the future!".
As of 2017, DHL's market share for global parcel delivery was 38% compared to FedEx at 24%. When we ship to consumers internationally we go through DHL due to their coverage. We only use FedEx when shipping internationally to our own distribution centers and retail stores.
Not sure why small electronics would flow through one carrier, unless maybe you are ordering things that all come from the same company and they have a contractual arrangement with FedEx?
I disagree about the story. The effects were clearly good for the time, but I think I would have liked the movie even with less impressive effects. Here's what I liked as a 12 year old at the time:
1 - I cared about the characters (I felt bad when Luke's family got killed)
2 - I loved the mystery of the unknown and the gradual reveal of bigger things. For me, I don't want the details spelled out, I want to wonder about things, fill in the details, especially knowing there might be more interesting things around the next corner.
3 - Formulaic or not, the story was a home run for me. I felt real suspense when they good guys were vulnerable and I felt a sense of dread/fear at the mysterious bad guys.
It's already well known by neuroscientists that neurons are more complex and perform more computation and memory based functions than any current model that is used in these simulations.
Examples:
1 - Dendrites perform multiple computations and transformations before forwarding the signal to the cell body.
2 - When the axon fires, the activation is also sent backwards to the dendrites where the signal is maintained for up to a minute (presumably to aid in the adjustment of synaptic weights)
3 - Purkinje cells track delayed timing sequences internally even in the absence of other inputs. The experiments were based on , , , , , etc.
C Elegans neurons and synapses have been mapped but the simulations still don't respond the way the worm does. The robot you linked to doesn't behave like the worm, the scientists are still trying to figure out why the simulations don't work.
Not correct. Hinton (and team) created the major breakthrough in 2006 with their algorithm for training deep networks. Prior to that, there were simple single layer networks that could be trained with backprop, and there were deeper networks that outperformed all other methods on image recognition, but they had to be evolved instead of trained, the older backprop algorithms didn't work on deep networks.
The recent advances have much more to do with Hinton and team's algorithms for training a deep network. That was a major stumbling block that significantly limited the usefulness of neural networks. Even without any increase in computing power, that development created the explosion in success with deep networks.
and a large number of people would have been out of work. For the employees, it's better to have a slow erosion of market share and jobs than a one time hit of 200,000 people (or however many it is) suddenly out of work.
Toyota was well managed and navigated the same waters as GM, but the results were completely opposite. If you aren't familiar with Toyota's history, it's a pretty interesting read, and a somewhat rare example of good mgmt in business.
I've only paid with credit at Chinese restaurants for my entire life (I live in the US). I have eaten Chinese at least a couple times per year for the last 30 years of my life, all credit.
Thanks that archive was very helpful. I just spot checked some years past and I can see that the red/drought moves all over the place. If I had not checked the archive, I would have walked away from this story with a very different impression of what's going on.
Are you seriously unaware of the series of laws that the Chinese have passed over the last 5 years that require Chinese (and foreign companies operating in China) to collaborate with Chinese intelligence?
Slashdot Mirror
maybe you should invent strippocurrency
Why do you allow crocodiles to roam free and eat people?
When I see comments like "they should have changed their software", I don't think those people realize what it's like inside a large organization. New systems are being added rapidly to accommodate new business initiatives, new regulations, etc. Every piece of software that gets put into production immediately starts getting linked to internal processes, reports, data flow etc.
To keep an enterprise system "up to date" by swapping out everything for the newest fad every 3 to 5 years would bankrupt the company. That is why nobody does it.
It's actually a pretty challenging issue to choose vendors and technologies that will last as long as the applications need to last, or that will at least gracefully evolve into the future as opposed to "hey, yesterday we were all in on technology X but today we are shifting 180 degrees and now we are all in on technology Y, this is the future!".
As of 2017, DHL's market share for global parcel delivery was 38% compared to FedEx at 24%. When we ship to consumers internationally we go through DHL due to their coverage. We only use FedEx when shipping internationally to our own distribution centers and retail stores.
Not sure why small electronics would flow through one carrier, unless maybe you are ordering things that all come from the same company and they have a contractual arrangement with FedEx?
When FedEx and UPS deliver packages that's just normal business, but when Amazon delivers packages, that's exploiting the working class?
It was their new Deep Learning AI that figured out how to sneak in the dupe in the original submission.
I disagree about the story. The effects were clearly good for the time, but I think I would have liked the movie even with less impressive effects. Here's what I liked as a 12 year old at the time:
1 - I cared about the characters (I felt bad when Luke's family got killed)
2 - I loved the mystery of the unknown and the gradual reveal of bigger things. For me, I don't want the details spelled out, I want to wonder about things, fill in the details, especially knowing there might be more interesting things around the next corner.
3 - Formulaic or not, the story was a home run for me. I felt real suspense when they good guys were vulnerable and I felt a sense of dread/fear at the mysterious bad guys.
is making the random numbers come out the same when they detect twins submitting dna.
they will be leap-frogging to a 7G logo instead
It's already well known by neuroscientists that neurons are more complex and perform more computation and memory based functions than any current model that is used in these simulations.
Examples:
1 - Dendrites perform multiple computations and transformations before forwarding the signal to the cell body.
2 - When the axon fires, the activation is also sent backwards to the dendrites where the signal is maintained for up to a minute (presumably to aid in the adjustment of synaptic weights)
3 - Purkinje cells track delayed timing sequences internally even in the absence of other inputs. The experiments were based on , , , , , etc.
C Elegans neurons and synapses have been mapped but the simulations still don't respond the way the worm does. The robot you linked to doesn't behave like the worm, the scientists are still trying to figure out why the simulations don't work.
Not correct. Hinton (and team) created the major breakthrough in 2006 with their algorithm for training deep networks. Prior to that, there were simple single layer networks that could be trained with backprop, and there were deeper networks that outperformed all other methods on image recognition, but they had to be evolved instead of trained, the older backprop algorithms didn't work on deep networks.
The recent advances have much more to do with Hinton and team's algorithms for training a deep network. That was a major stumbling block that significantly limited the usefulness of neural networks. Even without any increase in computing power, that development created the explosion in success with deep networks.
I'm guessing this is step 1 to work out the glitches and then move into higher value items, or generalized in-city delivery.
and a large number of people would have been out of work. For the employees, it's better to have a slow erosion of market share and jobs than a one time hit of 200,000 people (or however many it is) suddenly out of work.
Repeat after me: Toyota smart, GM dumb
Toyota was well managed and navigated the same waters as GM, but the results were completely opposite. If you aren't familiar with Toyota's history, it's a pretty interesting read, and a somewhat rare example of good mgmt in business.
I've only paid with credit at Chinese restaurants for my entire life (I live in the US). I have eaten Chinese at least a couple times per year for the last 30 years of my life, all credit.
"...prepare derivative works of..."
Thanks that archive was very helpful. I just spot checked some years past and I can see that the red/drought moves all over the place. If I had not checked the archive, I would have walked away from this story with a very different impression of what's going on.
We got a similar text message last night (western washington) and we also had emergency alerts on our TV for the same thing
now they removed "cellular data"
Are you seriously unaware of the series of laws that the Chinese have passed over the last 5 years that require Chinese (and foreign companies operating in China) to collaborate with Chinese intelligence?
When you say "giant interfering overreaching" you're referring to the Chinese govt right?
That's exactly what this action is about, blocking their intelligence agencies. Did you have the mistaken notion that the world is a friendly place?
Iridium:
Cost to build=36 million per satellite
Launch=7 million per satellite
Swarm:
Cost to build=50k to 200k per satellite
Launch=40k per satellite
ventually