@lpachter “The juvenile sea squirt wanders through the sea searching for a suitable rock or hunk of coral to cling to and make its home for life. ... When it finds its spot and takes root, it doesn't need its brain anymore, so it eats it! It's rather like getting tenure.” --Daniel Dennett
I'm particularly pleased about today's Amazon Science article on the Amazon editors' picks of the 20 best science books of the year (so far) as two of the selections are by my old comrades @JSEllenberg and @stevenbjohnson.
https://t.co/cPMahPPRtW
@zacharylipton After two decades of observing standard American punctuation for various MIT publications, I adopted punctuation (by default) outside quotation marks for the Amazon Science blog because it's just more logical.
On the cusp of Super Bowl LV, we take a look at how Amazon scientists are contributing to the design of the @NFL's @NextGenStats, powered by AWS.
#AmazonScience#SBLV#BigGame
https://t.co/RpqTJLSfDx
Last week at @ieeeICASSP, Amazon scientists showed how to adapt a text-to-speech system to a new expressive style on the strength of just one one-second example. Read more: https://t.co/e3dvbfNWIC #AmazonScience#IEEE#ICASSP2020
Alexa scientist Ariya Rastrow on the blurring boundaries between acoustic processing and language understanding. Read more, and learn about Amazon’s presence at @ieeeICASSP this year: https://t.co/EOHkL9nHdd #AmazonScience#ICASSP2020
At @ieeeICASSP, we’ll be presenting a new way to avoid the "permutation problem" that arises when an AI-powered microphone array tries to localize several sound sources at once, with a 15% improvement over the state of the art: https://t.co/9Ns0RK8dKd #AmazonScience#ICASSP2020
I really enjoyed working on this article. Stefano gave me a new way to think about a lot of the AI topics that I've encountered -- and he answered my one big question about few-shot learning. #AmazonScience
On the cusp of @iclr_conf, Stefano Soatto, Amazon AWS's director of applied science for AI applications, explains how the conference's subspecialty — learning representations — came to dominate mainstream AI. https://t.co/KOCuTEmApu #AmazonScience#ICLR2020#AI
An @iclr_conf paper by @rasoolfa@pratikac@smolix & Stefano Soatto presents a new approach to meta-reinforcement learning that lets robots adapt to new tasks quickly, reducing the need for costly interactions with the environment https://t.co/Rtxd34M45l #AmazonScience#ICLR2020
In a paper for @TheWebConf, Amazon researchers show how to merge two knowledge graphs, more accurately reconciling different names for the same entities. Read more: https://t.co/65CnMpnPn9 #AmazonScience#TheWebConf
When a customer looks for "waterproof shoes", does she want office wear or hiking boots? In an @ACM_CHIIR paper, Amazon researchers show that inferring customers' "context of use" could improve product discovery. Read more: https://t.co/CjvEovVRst #AmazonScience