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Did anyone else hear what sounded like an incoming explosion. Like when the wild fire blew up the sept, everyone in there heard loud boom noises getting closer befor the screen went KABOOM in wildfire green. To me, she appeared resigned to having done something as a last ditch effort to hurt her enemies. The more they lose, the further back they’ll retreat, until they have nowhere left to go except inside. I have this feeling they were entering an unknown and possibly dangerous situation, this wouldn’t be WF, the walls and the whole vibe is like a tomb in an ancient structure. Perhaps they come across it fleeing the wall, or it becomes exposed when the wall falls. Maybe Bran relays important info to them and sends them on a mission. Maybe at the end that’s him on the horse arriving with the rest of the AotD. I had been in a little personal funk lately, made worse by the prospect that there wouldn’t be a proper trailer, and that I wouldn’t have the fun of reading everyone’s opinions about what was shown. This is like WotW of past seasons, and probably one of the last times we’ll be doing this. I went back and looked at the Waif chase and the cat chase in KL and she never had fear like this on her face. If this were a prior season where they had time to spare I might agree. But I think this is real, abject fear on her face, juxtaposed with the scene of a cool, polished, confident Arya probably replying to someone who is trying to explain to her what facing the wights and WW means.

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Both fire magic and greenseer magic were key ingredients in the alchemical transformation of Azor Ahai and Nissa Nissa, and so what I think we are seeing here is that each Crone character is emphasizing a different element of the larger Nissa Nissa archetype. The Ghost of High Heart emphasizes the greenseer magic component, while Stoneheart highlights the fire magic element. As for the Ghost of High Heart who is so obviously tied to the old gods and the weirwoods, we recall from the last episode that she was forever changed by the dragon bonfire that was Summerhall. The Ghost also seems to be the same person who prophesied that the Prince That Was Promised would be born of Aerys and Rhaella’s line, so she’s been involved with all things fire and blood for a while now. By putting them back together, we can get a better picture of the overall archetype, which in this case seems to be the afterlife of Nissa Nissa, a ghostly figure who most likely inhabited the weirwoodnet after her death. And, as we saw in the last episode, her link to the weirwoods seems to be partly based on her being a cat-eyed child of the forest. Arya has a boat load of it, which we will get into in a bit; two of my favorite ash tree moon maidens, Asha Greyjoy and Osha the Wildling, both have it; and the wildlings spearwives Ygritte and Thistle both have it too. Hopefully we will further our understanding of Nissa Nissa in the process, as we did last time. Both play into the all-important shy maiden symbolism, and it turns out that both of them do indeed have a bit of cat-woman symbolism as well. Her cat-woman quote, however, is from ACOK, as Lord Balon is deploying his forces against the North. March quickly, and the castle may fall before they even know you are upon them. . And after all, what is one name for a crescent moon.


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Data moves back and forth between the two locations when computations are performed. Because machine-learning algorithms require so many computations, Biswas continued, the transferring of data back and forth is responsible for most of the energy consumption. The algorithms’ computations can be simplified down to one specific operation called the dot product. Their goal was to determine if the dot product functionality could be implemented inside the memory, thus eliminating the costly transfer of data back and forth between processors and memory. The team’s prototype is capable of calculating dot products for up to 16 nodes at a time instead of having to shuffle between a processor and a bank of memory for every computation. As you can imagine, this can save loads of time and drastically reduces energy consumption. Despite a few shortcomings (the chip’s accuracy was generally within two to three percent of a conventional network in testing), the prototype is promising. Dario Gil, vice president of artificial intelligence at IBM, said it will certainly open the possibility to employ more complex convolutional neural networks for image and video classifications in future IoT devices. Several other major technology players are also working to shrink down neural networks. Huawei’s Kirin 970 chipset, unveiled in September, includes a dedicated neural processing unit, as does the Exynos 9 Series 9810 SoC from Samsung. Apple’s latest A11 Bionic chipset also features a dedicated AI chip. Biswas is presenting his work at the International Solid State Circuits Conference this week. We'll get the full Q2 numbers on or about March 22.


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