MSRP US$699 (HK$5428). Good luck finding one at that price. #Geforce #1080Ti

程式總有錯，那怕來自行業龍頭之一。
There goes three hours of my life. Debugging.

https://github.com/NervanaSystems/neon/issues/359

Reading an article called “Forecasting with artificial neural networks: The state of the art”, published in…1998. The state of the art back then had 2 layers and 40 neurons. #CannotCiteSomethingThisOutdated

除了AlphaGo，其實還有很多值得留意的人工智能發展。例如現在正在美國進行中的無上限德州撲克大賽，由Carnegie Mellon大學的人工智能對世界上最頂尖的人類選手進行20天的比賽。到目前為止戰況可說是一面倒向電腦一方。
和圍棋不同，德州撲克是一種有隱蔽資訊的遊戲，參賽者並不知道對手以及未派發的牌為何。因此德州撲克相比起圍棋對解決很多現實中的問題意義更大。
Texas Hold’em is a much more interesting game than Go when it comes to real-world artificial intelligence application, since many important real world issues inherently involves imperfect information. 5 days into the game and the human pros are losing badly.

Claudico battles Donger Kim, Jason Les, Bjorn Li, Doug Polk in Brains vs. AI at Rivers Casion, the first time that a computer program has played Heads-up No-limit Texas Hold’em in competition with top human players.

Source: Brains vs AI

TensorFlow up and running with CUDA 8.0. Life-saving tip: always explicitly enter your CUDA and cuDNN versions during configuration.

My first impression is TF is a bit behind Nervana Neon in terms of training speed and ease of use. Too bad the latter now belongs to Intel, which clearly wants to promote its own Pentium-based Xeon Phi over Nvidia GPU.

cuDNN and CNMeM are must-haves when training neutral networks with Theano. 2x performance gain in practical usage.

如果開個砌機班有無同學有興趣？由零開始，用來做計量運算或小型伺服器。當然，偶爾攞來打The Division或者Destiny亦難以避免….
Any student interested in a workshop building computers for scientific computing? If course, these rigs are perfectly capable of an occasional match of modern gaming…

我有一個夢想：有著用不完的USB手指。
I have a dream—that I’ll will never run out of USB thumb drives ever again.