Month: November 2020

Lox Hasn’t Changed in 8 ka

The pronunciation in the Proto-Indo-European was probably ‘lox,’ and that’s exactly how it is pronounced in modern English. Then, it meant salmon, and now it specifically means ‘smoked salmon.’ It’s really cool that that word hasn’t changed its pronunciation at all in 8 ka and still refers to a particular fish.

Open RAN

Open RAN looks like a great alternative to all the proprietary 5G nonsense.

contrary to the information being published by legacy RAN vendors, Open RAN is real; Open RAN has been deployed in commercial networks today; the Open RAN community is thriving; the cost savings are being realized; and operational performance requirements and KPIs are being met.

Makapansgat pebble

a 260-gram, 8.3 cm long, reddish-brown jasperite cobble, ca 3M years before present with natural chipping and wear patterns that make it look like a crude rendition of a human face. it has been suggested that some australopithecine might have recognized it as a symbolic face, in possibly the earliest example of symbolic thinking or aesthetic sense in the human heritage, and brought the pebble back to the cave. This would make it a candidate for the oldest known manuport

Mink COVID-19

the situation is “very serious” and that the worst case would be a restarted pandemic spreading out of Denmark: “The Serum Institute estimates that 5% of the viral infections among people in North Jutland are of the new type of virus mutation“

Liquid-filled window

When sunlight hits the liquid-filled window, the water begins to absorb the heat, blocking it from entering the room. The hydrogel causes the liquid to turn opaque in sunlight, further reducing thermal transmission. The result is that less energy is required to cool the space. As the sun goes down, the window turns clear again and the heat is released. As a side bonus, the liquid between the panes also doubles as a sound insulator. Testing indicating that it “reduces noise 15% more effectively than double-glazed windows.”

DRL sample efficiency

We find considerable progress in the sample efficiency of DRL at rates comparable to progress in algorithmic efficiency in deep learning. If the trends we observed proved to be robust and continued, the huge amounts of simulated data that are currently necessary to achieve state-of-the-art results in DRL might not be required for future applications such that training in real world contexts could become feasible.