🍀The Hardware Lottery🎰 by Sarah Hooker, Google Brain [ACM]
- The very first computer hardware was extremely focused on solving one particular problem - numerical differentiation or polynomial models. In the 1960s IBM invented the concept of Instruction Set and made migration between hardware easier for software developers. Till the 2010s we have been living in the world of general-purpose hardware - CPUs.
- Computer Science Ideas win or lose not because one superior one to another, but because some of them did not have the suitable hardware to be implemented in. Back Propagation Algorithm, the key algorithm that made the deep learning revolution possible, was invented independently in 1963, 1976, 1988 and finally applied to CNN in 1989. However, it was only three decades later that deep neural networks were widely accepted as a promising research direction and the significant result was achieved with GPUs, that could run massive parallel computations.
- Today hardware pendulum is swinging back to domain-specific hardware like it was the CPU invention
- Hardware should not remain a limiting factor for the breakthrough ideas in AI research. Hardware and Software should be codesigned for the SOTA algorithms. Algorithm developers need a deeper understanding of the computer platforms.
🍀The Hardware Lottery🎰 by Sarah Hooker, Google Brain [ACM]
- The very first computer hardware was extremely focused on solving one particular problem - numerical differentiation or polynomial models. In the 1960s IBM invented the concept of Instruction Set and made migration between hardware easier for software developers. Till the 2010s we have been living in the world of general-purpose hardware - CPUs.
- Computer Science Ideas win or lose not because one superior one to another, but because some of them did not have the suitable hardware to be implemented in. Back Propagation Algorithm, the key algorithm that made the deep learning revolution possible, was invented independently in 1963, 1976, 1988 and finally applied to CNN in 1989. However, it was only three decades later that deep neural networks were widely accepted as a promising research direction and the significant result was achieved with GPUs, that could run massive parallel computations.
- Today hardware pendulum is swinging back to domain-specific hardware like it was the CPU invention
- Hardware should not remain a limiting factor for the breakthrough ideas in AI research. Hardware and Software should be codesigned for the SOTA algorithms. Algorithm developers need a deeper understanding of the computer platforms.
You can’t. What you can do, though, is use WhatsApp’s and Telegram’s web platforms to transfer stickers. It’s easy, but might take a while.Open WhatsApp in your browser, find a sticker you like in a chat, and right-click on it to save it as an image. The file won’t be a picture, though—it’s a webpage and will have a .webp extension. Don’t be scared, this is the way. Repeat this step to save as many stickers as you want.Then, open Telegram in your browser and go into your Saved messages chat. Just as you’d share a file with a friend, click the Share file button on the bottom left of the chat window (it looks like a dog-eared paper), and select the .webp files you downloaded. Click Open and you’ll see your stickers in your Saved messages chat. This is now your sticker depository. To use them, forward them as you would a message from one chat to the other: by clicking or long-pressing on the sticker, and then choosing Forward.
Traders also expressed uncertainty about the situation with China Evergrande, as the indebted property company has not provided clarification about a key interest payment.In economic news, the Commerce Department reported an unexpected increase in U.S. new home sales in August.Crude oil prices climbed Friday and front-month WTI oil futures contracts saw gains for a fifth straight week amid tighter supplies. West Texas Intermediate Crude oil futures for November rose $0.68 or 0.9 percent at 73.98 a barrel. WTI Crude futures gained 2.8 percent for the week.
