yonkshi

10 ms·

31.
by yonkshi 8y ago
Would you please provide some sources on all your numbers? those are some astronomical numbers and are essential in validating your point. Edit: I did some of my own research, UHC take 8~11% GDP in other countries. That would put us around
32.
by yonkshi 8y ago
The thought of Siri intentionally telling white lies is pretty funny and a bit creepy - Hey Siri, am I fat? - No Bruce, you are just big boned - Thanks Siri.
33.
by yonkshi 8y ago
How’s the Linux battery management for laptops? This and driver compatibility are usually my biggest concern. I remember 2/3 windows laptops I used were having trouble sleeping/waking up when lids were shut
34.
by yonkshi 8y ago
Ah yeah I agree it's not a terribly difficult concept to learn, but perhaps we have a different definition of graduate level math. Things like information theory are, at best, skimmed over in upper div math classes during undergrad. Ha
35.
by yonkshi 8y ago
That's assuming if China doesn't do something equally punishing to a US company. China can serious cripple US's race to 5G if they halted Qualcomm ops in China
36.
by yonkshi 8y ago
I agree to an extend. The current state of RL algorithms are more fragmented and have limited application comparing to something like a CNN. So unless one only wants to learn how to play Atari, they won't be able to "fix" an
37.
by yonkshi 8y ago
For very limited applications you can probably plug and play something like DDQN or A3C, but since we don't have a good algorithm that applies to many RL problems, any innovation will take quite a bit of theoretical background. A while
38.
by yonkshi 8y ago
Yes, bellman equation fundamental idea for all RL algorithms (i.e. updating table of values), but RL is also much more fragile than supervised learning methods, thus to ensure stability, modern algorithms have complex mathematical tools to
39.
by yonkshi 8y ago
I think "learn" is a bit misleading here but I do have to say it's a nice and intuitive overview of RL. RL is quite hard and math heavy, I don't know if one can take a short cut in learning RL without solid graduate lev
40.
by yonkshi 8y ago
> The S. European economies suffer from a lack of ability to compete on this basis: the ability for people to work together in large teams to develop sophisticated products at scale. Vast numbers of people don't even recognize the k
41.
by yonkshi 8y ago
To add on top of the tutorial, it's recommended to compile with AVX, SSE and FMA instructions enabled if you are using a modern Intel chipset. It has a pretty big boost for calculations that needs to be done on the CPU. The pip version
42.
by yonkshi 8y ago
Seems like an update on the ABS, so less to do with strength, more to do with how ABS are performed. My guess is this probably won't have much effect our everyday driving, but when in emergency, the updated ABS will perform better.
43.
by yonkshi 8y ago
From the article it seems like it was an update tweaking the ABS, which is really only triggered during an emergency braking.
44.
by yonkshi 8y ago
Pearl's paper is a solid generalization on logical reasoning and intelligence, but we have to be wary that even us, humans, aren't perfect at generalization and regularization. Without going too meta, we have to contemplate whethe
45.
by yonkshi 8y ago
I agree. RL is most definitely a form of causal reasoning in my book. It involves associations(value iteration), intervention(action/reward) and counterfactual (policy iteration) that Pearl suggested. I think Pearl did not mention spec
46.
by yonkshi 8y ago
We tested it against Tensorflow and scipy sparse matrices, we beat those as well, mostly because those general purpose sparse matrices do not optimize for binary matrix (eliminates the need for multiplication)
47.
by yonkshi 8y ago
I can attest this too, I was recently working with some massive and sparse binary matrix, with only 0.1% elements have values, it was magnitudes faster to index and sum the elements than to do a dot product. Not even a Tesla GPU was close t
48.
by yonkshi 8y ago
Google AI hadn't published any major papers on ASR or TTS since WaveNet, even the new WaveNet google demo'd a few months ago weren't even close to this demo's voices. The use of "Uh Huh" "Hmmm" are ca
49.
by yonkshi 9y ago
As someone who's not very familiar this area of US government, was this more of an autonomous prosecution kind of like "you broke the law you pay"? Or was this more motivated by the recent trade skirmish with China, being us
50.
by yonkshi 9y ago
They could use proxy companies, but ZTE risk getting even further punishment from the US Gov if they were caught again, possibly exiting US entirely. Doesn't matter how many proxies they use, it takes one tear down to see if they used
51.
by yonkshi 9y ago
Indulge my wild guess (I'm not a physicist): If the proto solar system's matter distribution was a Gaussian-like distribution, it would make sense that matter density droped in a logarithmic scale, and thus planets formed droped l
52.
by yonkshi 9y ago
In the US 5mW is the legal limit for laser pointers. I think that can be used as a guideline, 3mW IR is much less energetic than a 5mW green/blue laser, perhaps it's not powerful enough to cause huge concern? But I agree no amount
53.
by yonkshi 9y ago
And in Sweden, home of Spotify, the other big news is that NYSE raised Switzerland's flag. https://www.thelocal.se/20180403/spotify-swiss-or-swedish-wh...
54.
by yonkshi 9y ago
I agree a true general AI will probably be fairly different on computer than human. Although I want to mention that humans can learn from one example is mostly because we already have a large a priori from our life experience. We spend year
55.
by yonkshi 9y ago
Hinton's criticism is very valid, but it's not quite about AlphaGo and its branch of ML. his criticism revolves around supervised learning and back prop that cannot be used to achieve the so called AGI. Because ANN is nothing lik
56.
by yonkshi 9y ago
I don't agree with this sentiment, although I agree that AI is not nearly at the level of the hype that pop culture makes it out to be. AlphaZero is still a significant contribution to 'AGI' that shouldn't be buried. It&
57.
by yonkshi 9y ago
I think you are only thinking of supervised learning's capabilities, which I assume is the field of your AGI research? I'm working with reinforcement learning and DRL research, and RL was born to address the short coming of superv
58.
by yonkshi 9y ago
I suppose time will tell :)
59.
by yonkshi 9y ago
Apple's focus on privacy has always been a splinter in the eye of Chinese authorities. I strongly believe that this is an excuse Chinese authorities had been looking for that will use to pressure Apple in China at the same time create
60.
by yonkshi 9y ago
Even if it's a zero sum game (which it's not), most participants are not quant/algo based. As long as you can beat 50% percentile, you can make a profit. Sure you may not be as profitable as top quant companies, but do you re

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