Someone must have really hated ironing. They have a hands- and effort-free shirt wrinkle remover that eliminates wrinkles
15 Times Japan Proved It Was Lightyears Ahead Of The Game
Thread....
1. High-tech Toilets
Japanese toilets will not only wash and warm your bum, will also play music for you so no one can hear your business
Someone must have really hated ironing. They have a hands- and effort-free shirt wrinkle remover that eliminates wrinkles
They’ve invented a device that allows fathers to approximate the benefits of breastfeeding.
Tourist attractions have phone stands so you can take a timed photo that isn’t a terrible selfie
Some elevators have an emergency seat/toilet/supply stash in case of disasters.
Am I the only one who has never seen an elevator with a seat?
They have a system that shows which bathroom stalls are vacant or occupied so you don’t have to peer under every door
They invented an infrared calorie scanner to help people manage their diets (within an accuracy range of 20%)
A Japanese innovative bullet train that travels at the highest speed of 210 Kph. They produced the very first bullet train in the world.
Someone created a voice-activated refrigerator that comes to you when you call it.
Some of their toilets let you wash your hands over the tank so it can be reused in the next flush
https://t.co/HWZHmZfcOS
People Living In 3020 While The Rest Of Us Are In 2020
— O.V.A.tion's\u2122 (@Dre_Ova) December 15, 2020
Thread
1.. Who says you can't operate your phone while you are getting a haircut? pic.twitter.com/TGaY2Ha4b7
18 EVERYDAY ITEMS YOU DIDN'T KNOW THEIR PURPOSE
— O.V.A.tion's\u2122 (@Dre_Ova) December 21, 2020
Thread..
1.The Mini Pocket On Your Jeans
When you buy a Jean trouser, don't you wonder what this pocket is for? Well, today is your lucky day! It's where you were supposed to keep your pocket watch when jeans were first invented pic.twitter.com/zolHB3o0Yc
More from Tech
On Wednesday, The New York Times published a blockbuster report on the failures of Facebook’s management team during the past three years. It's.... not flattering, to say the least. Here are six follow-up questions that merit more investigation. 1/
1) During the past year, most of the anger at Facebook has been directed at Mark Zuckerberg. The question now is whether Sheryl Sandberg, the executive charged with solving Facebook’s hardest problems, has caused a few too many of her own. 2/ https://t.co/DTsc3g0hQf
2) One of the juiciest sentences in @nytimes’ piece involves a research group called Definers Public Affairs, which Facebook hired to look into the funding of the company’s opposition. What other tech company was paying Definers to smear Apple? 3/ https://t.co/DTsc3g0hQf
3) The leadership of the Democratic Party has, generally, supported Facebook over the years. But as public opinion turns against the company, prominent Democrats have started to turn, too. What will that relationship look like now? 4/
4) According to the @nytimes, Facebook worked to paint its critics as anti-Semitic, while simultaneously working to spread the idea that George Soros was supporting its critics—a classic tactic of anti-Semitic conspiracy theorists. What exactly were they trying to do there? 5/
1) During the past year, most of the anger at Facebook has been directed at Mark Zuckerberg. The question now is whether Sheryl Sandberg, the executive charged with solving Facebook’s hardest problems, has caused a few too many of her own. 2/ https://t.co/DTsc3g0hQf
2) One of the juiciest sentences in @nytimes’ piece involves a research group called Definers Public Affairs, which Facebook hired to look into the funding of the company’s opposition. What other tech company was paying Definers to smear Apple? 3/ https://t.co/DTsc3g0hQf
3) The leadership of the Democratic Party has, generally, supported Facebook over the years. But as public opinion turns against the company, prominent Democrats have started to turn, too. What will that relationship look like now? 4/
4) According to the @nytimes, Facebook worked to paint its critics as anti-Semitic, while simultaneously working to spread the idea that George Soros was supporting its critics—a classic tactic of anti-Semitic conspiracy theorists. What exactly were they trying to do there? 5/
Machine translation can be a wonderful translation tool, but its uses are widely misunderstood.
Let's talk about Google Translate, its current state in the professional translation industry, and why robots are terrible at interpreting culture and context.
Straight to the point: machine translation (MT) is an incredibly helpful tool for translation! But just like any tool, there are specific times and places for it.
You wouldn't use a jackhammer to nail a painting to the wall.
Two factors are at play when determining how useful MT is: language pair and context.
Certain language pairs are better suited for MT. Typically, the more similar the grammar structure, the better the MT will be. Think Spanish <> Portuguese vs. Spanish <> Japanese.
No two MT engines are the same, though! Check out how human professionals ranked their choice of MT engine in a Phrase survey:
https://t.co/yiVPmHnjKv
When it comes to context, the first thing to look at is the type of text you want to translate. Typically, the more technical and straightforward the text, the better a machine will be at working on it.
Let's talk about Google Translate, its current state in the professional translation industry, and why robots are terrible at interpreting culture and context.
Straight to the point: machine translation (MT) is an incredibly helpful tool for translation! But just like any tool, there are specific times and places for it.
You wouldn't use a jackhammer to nail a painting to the wall.
Two factors are at play when determining how useful MT is: language pair and context.
Certain language pairs are better suited for MT. Typically, the more similar the grammar structure, the better the MT will be. Think Spanish <> Portuguese vs. Spanish <> Japanese.
No two MT engines are the same, though! Check out how human professionals ranked their choice of MT engine in a Phrase survey:
https://t.co/yiVPmHnjKv
When it comes to context, the first thing to look at is the type of text you want to translate. Typically, the more technical and straightforward the text, the better a machine will be at working on it.
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