Interesting find from reading the “America First: A Budget Blueprint to Make America Great Again”

President Trump Budget Blueprint – Fiscal Year 2018 by The Conservative Treehouse on Scribd Restructures and reduces Federal subsidies to Amtrak to focus resources on the parts of the passenger rail system that provide meaningful transportation options within regions. The Budget terminates Federal support for Amtrak’s long distance train services, which have long been inefContinue reading “Interesting find from reading the “America First: A Budget Blueprint to Make America Great Again””

Department of Education Spending Cut [ Reaction & Analysis ]

In the proposal for $9 billion in cuts to the Department of Education, the proposed 2018 budget adds $250 million for private school voucher program and adds $168 million for publicly funded but privately operated charter schools. Following the ultimate dream of a both centralized, perishable and non-perishable store of Amazon, Trump must centralize all education toolsContinue reading “Department of Education Spending Cut [ Reaction & Analysis ]”

Being Indian in Trump’s America [ Analysis & Reaction ]

The New Yorker has lowered its reputation with vicarious (non-investigative) reporting from Amitava Kumar. Where’s Steve Coll? However, one point to note from the post is that Indian-Americans have “…the highest median income of any ethnic group in the United States…” and bring Americans many things including but not limited to “…spelling bees, lazy “Slumdog Millionaire” references, yogaContinue reading “Being Indian in Trump’s America [ Analysis & Reaction ]”

Bill Gates’ Measure of Success [ Reaction & Analysis ]

WHG3 recently stated the following: For Bill Gates, it’s defined by two factors: making a difference and taking care of the people closest to you. Isn’t the purpose of life to have a life of purpose?   Life of purpose only comes from meaning something to others and/or yourself.  Purpose comes from both loving what you doContinue reading “Bill Gates’ Measure of Success [ Reaction & Analysis ]”

$4.1 billion Trump’s Wall Proposal [Reaction & Analysis]

The reported $4.1 billion for a wall?  How about stockpiling on the $7.99 infrared iris/retinal scanners found on the new Samsung phones for a universal, card-agnostic identity system?  If you do the back-of-the-envelope calculation, you can purchase ~513 million iris scanners with that much money and then have a distributed database of key-values with theContinue reading “$4.1 billion Trump’s Wall Proposal [Reaction & Analysis]”

Yahoo!’s 500 million account hack seems far from realistic and was preventable!

Supposedly according to my sources of information, Yahoo both didn’t have and doesn’t have Google Authenticator support to this day and especially in January 2014 when the 500 million accounts were hacked by exploiting users with a logged in account. That was eventually fixed possibly as early as 2016 when 2FA was added according to Google searchContinue reading “Yahoo!’s 500 million account hack seems far from realistic and was preventable!”

Universal Speech Recognition AI

If anyone wants to edge closer to 100% speech recognition, they must parameter sweep and create multi-track, three-dimensional, synthetic speech dataset that can handle the “wildness” of the background noise and other ambient sounds (cocktail party). Then, you can create universal AI! Until then, you must use the 80/20 “Reddy” rule for long-tail situations thatContinue reading “Universal Speech Recognition AI”

Neural Episodic Control from DeepMind [Analysis and Reaction]

This paper is essential a neural key-value-like store with probably (at first glance) no consideration (hopefully) about the previous states that it has gone to in the past in heuristic search.  They are concerned with the learning acquisition rate in this scenario.  What about facets like energy, scalability, time, asymptotic runtime, cost in terms ofContinue reading “Neural Episodic Control from DeepMind [Analysis and Reaction]”

New Google Research paper sounds like AdaBoost (and hopefully, Minsky’s Emotion Machine)

This is moving towards general problem solvers (GPS) but this is sans planning like AlphaGo with only a layer of a mixture of experts.  Pathnet does do transfer learning by evolved layers of channels but if you combine the two, you might get surprising results similar to the Minsky’s way of thinking in Emotion Machine whereContinue reading “New Google Research paper sounds like AdaBoost (and hopefully, Minsky’s Emotion Machine)”

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