Sunday, May 26, 2019
Human Brain genes in monkeys
Chinese scientists are putting human brain genes into monkeys and they the monkeys are smarter. Ethics? TiC (This is China!)
Accelerated Mobile Pages and other predatory behaviors by the evil search giant (ESG)
There are a few, suppressed but strident rumblings by low-tech media companies trying to resist Google's new accelerated mobile pages (AMP) technology. We, the end-users reading the AMP media pages, experience faster page load times. However there may be some nefarious funny business enabling these experiences:
AMP aggressively pre-fetches everything you might possibly click on, burning the data in your data plan.
And Google is applying enormous, predatory pressures on media web sites to embrace their technology:
This latest phenomenon adds to the growing list of repressive, monopolistic practices the evil search giant (ESG) inflicts upon the web ecosystem:
I do not fault many of Google's efforts to move technology forward (e.g. Google's work on security, containerization, and services mesh). In these cases, Google is applying dozens of great developers to pushing interoperable standards forward with a little less heavy-handed policy choice.
However, I do find Google's behaviors in the "Open Markets" story to be unethical.
Shame on you, Google. Please exercise some ethics and stop being so evil.
Saturday, May 25, 2019
Friday, May 24, 2019
Sunday, May 19, 2019
Washington State takes top honors at the 2019 US News Ranking
Microsoft, Amazon, Boeing, Starbucks, Nordstroms, sure. Cattle? Who knew?"Washington is a key exporter for the U.S., particularly for transportation equipment. Additionally, Washington is crucial to the nation's food and agriculture industry, generating 70 percent of the country's apples, and also leading in milk, potato and cattle production."
Artificial Intelligence (AI) learns Origami
Those silly Harvard and Berkeley AI people have stumbled upon a cool method in AI. Augmenting extremely limited data sets with inexhaustible generated data from simple rules enables much better prediction. This technique is broadly applicable to many areas of machine learning (ML) where we have insufficient labels. Variations of this concept are applied in computer vision and robotics. It's not clear if they will work with human behavior data but I shall endeavor to find out in my "day job."
Subscribe to:
Posts (Atom)