Mix and Master: Nuvon Studio

1 Hour Anime Music Mix - Beautiful, Emotional & Sad Anime OST Piano Vol 6
[url redacted]

Anime OST is always my favorite theme. I hear it every day as a friend to help me relax, so I hope you 'll like it.

If you liked this collection , Please Like & Subscribe (^_^)

Subscribe: [url redacted]
Follow Me on GG+: [url redacted]
1 Hour Beautiful, Emotional & Sad Anime OST Playlist: [url redacted]

Track list:
0:00:00 Sakurasou no Pet na Kanojo OST – Days of Dash Piano Arr
0:02:33 Rewrite OST – Daisy
0:05:53 Fantasista Doll OST – Yuujou
0:07:37 Fantasista Doll OST – Nostalgia
0:09:11 Gin no Saji Silver Spoon OST – Kyoushitsu
0:11:17 Ef - a tale of melodies - A moon filled sky
0:14:06 Ef - a tale of melodies – Overture
0:18:28 Kara no Shoujo OST - For you...
0:22:38 Kara no Shoujo OST – Higan
0:26:25 chuunibyou OST - Yuugure To Yorisou Kanjou
0:27:47 Ao no Kanata no Four Rhythm OST - Girls of Contrail
0:30:04 Fate Stay Night - Voyage Fallen Shadow
0:35:46 Hyouka - Madoromi no Yakusoku
0:39:08 5 Centimeters Per Second - Oukashou
0:44:12 Zoku Natsume Yuujinchou OST - Haru wo Shiraseru mono
0:48:41 D. Gray Man OST – Musician
0:53:42 Shugo Chara - Futari no Kyori
0:55:52 Kamigami no Asobi OST - Strong Ties
0:58:06 Sword Art Online 2 OST - In time of peace

My other videos:
- Beautiful & Sad Anime OST Piano Collection Playlist: [url redacted]
- Beautiful, Emotion & Sad Japan Music Playlist: [url redacted]

Thanks for watching : )

Your video, San Francisco, Silicon Valley, And The Bay Area Explained, has made it into the Top 15 New Videos listing. Congratulations on your achievement. For your contribution you have been awarded 1 Power Point.

This achievement has earned you your "Pop Star" Level 55 Badge!

Congratulations! Your dedication to finding diamonds in the rough and pushing videos of other members to success has earned you your "Assister" Level 55 Badge!

*length=03:55

The duration of this video has been updated from unknown to 3:55 - length declared by cricket.

Congratulations! Your video, Two German Guys Ride a TINY Elevator, has reached the #1 spot in the current Top 15 New Videos listing. This is a very difficult thing to accomplish but you managed to pull it off. For your contribution you have been awarded 2 Power Points.

This achievement has earned you your "Golden One" Level 55 Badge!

From a reddit (fwtw) on the topic :

"I'm very curious as to how you got this video, i was under the impression it never left the airfield.
This happened in April 2014, this past year. The weather is absolute crap here, especially for soaring. Well... we get good weather sometimes. Anyway, it's not uncommon for those TG-16A's to go up with a 25 knot gust... But i digress.
The cadets were pushing in because winds were out of limits and the weather was getting worse... and BAM! Microburst.
This microburst hit right next to the airfield. The tower spotted it early, gave a verbal warning "look out..." and cadets are trained to do the following: grab a wing (glider) and turn broadside into the wind and put the spoilers out. The tows were not so easy... nor lucky. Their takeoff speed is about 50 knots, and none of them were powered up when they lifted off the ground, to give you an idea of how bad the wind was. Their only maneuver is to face into the wind and pray they dont actually take off. The tows that took off left for COS airport... it took another 30 minutes of holding gliders before the tower let the cadets start moving the gliders.
As for taking off... 55 kt gusts are the highest the Academy has had in a long time. Considering there were a half-dozen other aircraft within 100 ft of the tows, along with people (i.e. cadets around/in the gliders) if he was moving too far from his position in the queue, the safest action is to get some altitude and try and leave the microburst. Or at the very least put some altitude and distance in between himself and the cadets and aircraft. You saw how slow the tows in the air were moving relative to the ground... those were HARSH winds.
At about 0:20, you can see a cadet hanging onto the wing of a glider on the bottom of a screen. This wind was scary. I don't know if anyone was up at the time, but full tempo ops can be up to 5 tows and 8 gliders... on a standard afternoon training day 3 tows and 4 or 5 gliders is normal. It looks like they were already pushing the gliders to the hangar..."

http://videosift.com/video/1959-Bel-Air-vs-2009-Malibu-crash-test

Crumple-zones (and other safety engineering) can be the difference between life and death.

And most crash tests (and star ratings) aren't for highway speeds.
http://www.iihs.org/iihs/ratings/ratings-info/frontal-crash-tests
so 40 mph and 35 mph. If you go up to 55,65,75 mph the difference in kinetic energy is exponentially higher (K=0.5mv^2)

there might have been a mythbusters episode about this...can't remember the result though.

*length=05:55

The duration of this video has been updated from unknown to 5:55 - length declared by cricket.

Your video, Cincinnati Zoo Straps a GoPro to a Cheetah, has made it into the Top 15 New Videos listing. Congratulations on your achievement. For your contribution you have been awarded 1 Power Point.

This achievement has earned you your "Pop Star" Level 55 Badge!

The duration of this video has been updated from unknown to 1:55 - length declared by cricket.

*length=01:55

@ChaosEngine

I'm not sure you understand what machine learning is. As I said, the trigger for your child.runsInFront() is based on numerical inputs from sensors that is fed into a formula with certain parameters and coefficients. This has been optimized from many hours of driving data but ultimately it's not able to predict novel events as it can only optimize off existing data. There is a base level of error from bias-variance tradeoff to this model that you cannot avoid. It's not simply a matter of logging enough hours of driving. If that base error level is not low enough, then autonomous cars may never be deemed reliable to be unsupervised.

See: https://en.wikipedia.org/wiki/Bias-variance_tradeoff
Or specifically: http://scott.fortmann-roe.com/docs/docs/BiasVariance/biasvariance.png

It's the same reason that a stock market simulator using the same method (but different inputs) is not accurate. The difference would be that while 55% correct for the stock market may be sufficiently accurate and useful to be profitable, a driving algorithm needs to be near perfect. It's true that a sensor reaction time to someone braking unexpectedly may be much better than a human's and prevent a crash, so yes in certain cases autonomous driving will be safer but because of exceptional cases, but it may never be truly hands-off and you may always need to be ready to intervene, just like how Tesla works today (and why on a regulatory level it passed muster).

The combination of Google hyping its project and poor understanding of math or machine learning is why news reports just parrot Google's reliability numbers. Tesla also, has managed to convince many people that it already offers autonomous driving, but the auto-steer / cruise and changing lanes tech has existed for around a decade. Volvo, Mercedes and Audi all have similar features. There is a tendency to treat this technology as magical or inevitable when there are some unavoidable limitations behind it that may never be surmounted.