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Comment: Further along (Score 1) 125

Cool. Image recognition is far further along than I thought. It makes the same type of mistakes as humans although in a different way.
We humans see faces in everything. Smoke, clouds and static for example. This just means that this is inherent in the attempt of recognition.

Comment: Re:Automatic cars are just around the corner... (Score 1) 125

That is because computer vision is not yet good enough.
However, Google's rotating laser costs $70,000. Just the laser, you still have to pay for the car under it.

While large scale production would be able to lower that significantly it might be better to start with a $100 camera and a $1000 neural net computer.

Comment: Re:Misleading title (Score 1) 186

by Neil Boekend (#48607381) Attached to: Graphene: Fast, Strong, Cheap, and Impossible To Use

In strength it is both.
Graphene is incredibly strong for a one atom thick material. All other materials need far more layers of atoms to achieve the same strength.
However: it is a one atom thick material. That means it doesn't have much absolute strength.
And the strength of graphene is non-uniform. It is far stronger in 2 directions than in the 3rd one

Comment: Re:I'm Working on Software To Do Just That (Score 1) 258

by Neil Boekend (#48599911) Attached to: Ask Slashdot: Best Software For Image Organization?

Why not both? Make a game that allows you to use cattle prods to prod files in the right folders and shoot them with a railgun to either add tags at or delete the file unrecoverable (difference based on the hash of the milisecond time. If the binary printout of that ends with a 1 it adds a tag. If it ends with a 0 it deletes)

Comment: Re:DMLS (Score 1) 55

Bromine.

For other reasons, none of the metals with a halflife of below a second would be advisable. Especially not for objects as large as this.

If you want to get technical both mercury and bromine would work fine, assuming your 3d printer is in a freezer.

Not that I would want an implant made of any of those metals.

10.0 times 0.1 is hardly ever 1.0.

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