Saving the Oasis Beer Garden in Menlo Park
(E) The biggest threat to Silicon Valley probably lies in its inability to control its economic expansion. The continuous demand for office space and housing are driving the price for […]
The Expansion of the TensorFlow Platform
(T) I had the opportunity to attend this week IBM Index Developer conference at the Moscone Center. In particular, I attended on Tuesday the Open Community Meetings on TensorFlow (and […]
Biggest Intraday Plunge for the Dow: 1,600
(B) The Dow’s highest closing record was 26,616.71 set on January 26, 2018. On Friday, the Dow fell by 666 points and dropped below 25,000. Today, Monday, it fell briefly by […]
Google Brain Research in 2017
(T) As he did last year, Jeff Dean, the tech lead of the Google Brain Team and probably one of the most famous Silicon Valley engineers, shared some of the […]
Dow 25,000: Enjoy the Ride – be Ready for the Storm
(B) Did your financial adviser ever tell you that your 401K portfolio will grow on average by 7% a year? Well in 2017, with a diversified portfolio invested in domestic […]
Spectre and Meltdown
(T) The Spectre and Meltdown vulnerabilities, that we learned this week, are affecting pretty much any microprocessor that is used in any of our computing platforms (mobile, desktops, servers, embedded). […]
Byron Wien’s Ten Surprises for 2018
(B) There are a few long-timers on Wall Street that I will stop whatever I am doing to listen to them on Bloomberg or CNBC. One of them is Byron Wien from […]
Merry Christmas – Joyeux Noel
(E) “This Christmas, I am going to be home. And, I wanted to ask where is Home for you? What things do you think of when I say the word […]
Learning with Limited Supervision
(T) The Silicon Valley IEEE AI group had an interesting lecture last month, that I attended, from Stanford’s Professor Stefano Ermon. Many of the recent successes of machine learning have […]
Keeping Net Neutrality
The Internet belongs to everyone. This is why the Internet has become the communication infrastructure for our entire world over the last two decades. And, we need to protect that. […]
Neutron Stars, Black Holes, and Gravitational Waves
(T) A friend of mine had the good idea to invite me to a public lecture from Professor Roger Blandford from Stanford’s KIPA (Kavli Institute for Particles Astrophysics and Cosmology) […]
Scale By the Bay
(T) If you are interested to learn and share your experience and expertise in functional programming, reactive microservices, and data pipelines for machine learning, you definitely want to attend this […]
Katzelmacher
(E) I had the pleasure to see Katzelmacher yesterday night, a play from Rainer Werner Fassbinder, produced by the Stanford Theater and Performance Studies. In German, Katzelmacher is a derogatory […]
Cleaning the Oceans from Plastic
(T) It is a blast to see a young social entrepreneur willing to start new ventures for the good of global society. So is the case of Boyan Slat, a 23-year […]
Machine Learning for Predicting Earthquakes
(T) Not so long ago, everyone was saying “there is an app for everything’. Maybe, we should now change that sentence by “there is a machine learning algorithm for everything”, […]
Grazie Mastro Nicola Luisotti
(E) I had the great privilege to attend the last performance of La Traviata at the San Francisco Opera conducted by Music Director Nicola Luisotti. For the last few years, […]
This Week-End: Silicon Valley Code Camp
(T) This week-end, at PayPal in San-Jose, thousands of Silicon Valley engineers will attend Silicon Valley Code Camp prepared and supported by hundreds of volunteers. Certainly the biggest code camp […]
Machine Learning @ Uber
(T) Uber hosted this month a meet-up to share its various internal machine learning initiatives on September 12 at its headquarters in San Francisco. Uber mission is to provide reliable […]
Part II: Successful products are the result of learning products which previously failed in the marketplace
(B) Following is the part II of the case study that I wrote, and which illustrates how successful products are the result of learning products that previously failed in the […]
Part I: Successful products are the result of learning products which previously failed in the marketplace
(B) Following is the part I of a case study that I wrote, and which illustrates how successful products are the result of learning products that previously failed in the […]
