Google’s “moonshot factory” is inspiring and ambitious, but there’s a less talked-about route to many of Google’s great achievements -- the consistent, short-term, incremental “roofshots” that make our products better year after year.
My friend Monique is probably one of the bravest people I know. Not only did she face the loss of her son to cancer with great courage, but she also went on shaving her hair all off yesterday morning to raise funds and awareness to fight this horrible disease.
I thought the most interesting was the change in perception if the Father did something perceived wrong as oppose to the overwhelming negative reaction if it is the mother! Especially in today's age where Fathers can be the primary care taker.
Tensor Processing Units (TPUs) I'm very excited that we can finally discuss this in public. Today at Google I/O +Sundar Pichai revealed the TPU (Tensor Processing Unit), a custom ASIC that Google has designed and built specifically for machine learning applications. We've had TPUs deployed in Google datacenters for more than a year, and they are an order of magnitude faster and more power efficient per operation than other computational solutions for the kinds of models we are deploying to improve our products. This computational speed allows us to use larger, more powerful machine learned models, expressed and seemlessly deployed using TensorFlow (tensorflow.org) into our products, and to deliver the excellent results from those models in less time.
TPUs are used on every Google Search to power RankBrain (https://en.wikipedia.org/wiki/RankBrain), they were a key secret ingredient in the recent AlphaGo match against Lee Sedol, they are used for speech and image recognition, and they are powering a growing list of other smart products and features.
+Norm Jouppi and the rest of the team that developed this ASIC did a fabulous job, and it's great to see it discussed in public!
Google DeepMind's AlphaGo system is playing top human Go player Lee Se-dol for the first time. Building a computer system capable of beating a human at Go (an ancient Chinese board game) has been a holy grail of AI research for a long time (for computers, this is way more difficult than chess; Go is generally considered to require the use of intuition to play well). Until recently, a computer beating the best human player was considered at least 10 years away. Many did not expect to ever see it happen. I can't wait to see who wins.
This is an interesting article, a different way of approaching the big question, "what do you want?"
Who you are is defined by the values you are willing to struggle for. People who enjoy the struggles of a gym are the ones who get in good shape. People who enjoy long workweeks and the politics of the corporate ladder are the ones who move up it. People who enjoy the stresses and uncertainty of the starving artist lifestyle are ultimately the ones who live it and make it.
Everybody wants what feels good. Everyone wants to live a carefree, happy and easy life, to fall in love and have amazing sex and relationships, to look perfect and make money and be popular and well-respected and admired and a total baller to the point that people part like the Red Sea when…
"We are pleased to advise that the vendors of the following properties have entrusted the sale of their home to be professionally marketed through our agency. We apologise in advance for any extra traffic flow which may occur in your area over the next coming weeks."
Listen buddy, if I get trampled to death by your stampeding horde of buyers, an advance apology ain't gonna cut it.