TED TALKS - The Future of Work

automate

2) VOCABULARY DEVELOPMENT ________________: to change a factory, office, or process so that machines do the work instead of people. They are going to fully ______________ the company soon so there will be fewer jobs

match

2) VOCABULARY DEVELOPMENT _________________: to be as good as someone or something. The airline couldn't ___________ the prices of its competitors so it went out of business.

threaten

2) VOCABULARY DEVELOPMENT ___________________: to be likely to cause damage to something or someone. The new restaurant across the road will _______________ our business as they have a famous chef.

outperform

2) VOCABULARY DEVELOPMENT ___________________: to do a job or activity better than others. The machine can __________________ a lot of workers at very simple tasks.

copy

2) VOCABULARY DEVELOPMENT _____________________: text that is written to help with the sale of a product or service. Writing _________ for advertising campaigns can be a difficult task.

assess

2) VOCABULARY DEVELOPMENT ______________________: to calculate the cost, value or rate of something The insurance company has to _________________ the damage caused by the fire.

mimic

2) VOCABULARY DEVELOPMENT ______________________: to copy how something moves and acts. The robot can _________ a lot of movements made by humans.

algorithm

2) VOCABULARY DEVELOPMENT _______________________: a set of rules used by a computer to solve problems. The website uses an ____________________ to work out what TV shows you might be interested in.

In the early 90s

4) WHAT DO YOU REMEMBER? 2. (1:09) When did Machine learning first start to be used in industry? (1:12)

10,000

4) WHAT DO YOU REMEMBER? 4. (2:03) How many essays might a teacher read in a 40-year career? (2:08)

writing novels

4) WHAT DO YOU REMEMBER? 3. What doesn't the spaker say we can use machine learning for now?

tackle novel situations

4) WHAT DO YOU REMEMBER? 5. (2:24) What can humans do better than machines? (2:33)

the radar

4) WHAT DO YOU REMEMBER? 6. (2:45) What was the man who invented the microwave working on during WWII?

lawyers (and accountants)

4) WHAT DO YOU REMEMBER? 7. (3:50) Which professionals will find it more difficult to get jobs in the future because of machine learning? (4:00)

machines - learn - mimic

4) WHAT DO YOU REMEMBER? (grammar) (0:45) Machine learning allows ____________ to ______ from data and _________ some of the things humans can do (0:51)

To what extent

5. COMPLETE THE SENTENCES ____ _____________ ___________: how much (hasta que punto) ____ _____________ ___________ is the government responsible for the rise in house prices?

stand out from the crowd

5. COMPLETE THE SENTENCES __________ ____________ _______ _______ _____________: be different from the rest; get noticed Hugo likes to __________ ____________ _______ _______ _____________ by wearing brightly coloured clothes

come by - harder to come by

5. COMPLETE THE SENTENCES ___________ __________: get sth, especially sth that is hard to get. If something is ______________ ____ _______ _________, it means it's harder to get. Affordable flats in this part of the city are much ______________ _______ ________ ______________ these days.

gap - gap in the market - gaps in the market

5. COMPLETE THE SENTENCES ______________: an empty space or opening in the middle of something or between two things (hueco, espacio). A _________ _____ _________ ____________ is an opportunity to make and sell something that is not available yet. FInding _______ ___ _________ _____________ is difficult, but when you find a niche, your business can be very successful.

shrink - ranks

5. COMPLETE THE SENTENCES _______________ (past: shrank / part: shrunk): to become smaller, or to make something smaller. _______________: the members of a group or organization, or members of the armed service who are not officers: If a company needs to _________ their ___________, it means they need to reduce its workforce (the number of workers they have). We have a lot of staff at the moment, so management want to ____________ their __________ to save money

grab - attention

5. COMPLETE THE SENTENCES _______________ one's __________________: catch one's interest The campaign is really going to ________ consumers' ____________ because of the special offer

reducible

5. COMPLETE THE SENTENCES ________________: adj. That may be reduced. The level of pollution on the beach is too high, but it is easily ____________________

tackle - tackle novel situations

5. COMPLETE THE SENTENCES ______________: to try to deal with something or someone ___________ ____________ ____________: to try to deal with novel situations Tomasz had to _____________ __________ _____________ when he set up his own company because he didn't have any experience in business.

the cutting

6. COLLOCATIONS ______ ___________________ edge: The most modern stage of development in term-32a particular type of work or activity: This is a company at _______ __________ edge of mobile communications technology

Unique - artificial - fundamental

6. COLLOCATIONS ___________ perspective. ___________ intelligence. __________ limitations

disparate - cutting - handwritten - dramatic

6. COLLOCATIONS ____________ threads. _____________ edge. ___________ characters. _____________ breakthroughs.

artificial - mimic

Find the vocabulary you've learned from the worksheet in the video transcript (vocabulary + complete the sentence + collocations) (0:39) Machine learning is the technology that's responsible for most of this disruption. It's the most powerful branch of ___________ intelligence. It allows machines to learn from data and _________ some of the things that humans can do.

cutting edge - unique - automate - threaten

Find the vocabulary you've learned from the worksheet in the video transcript (vocabulary + complete the sentence + collocations) (0:51) My company, Kaggle, operates on the ___________ ____________ of machine learning.. We bring together hundreds of thousands of experts to solve important problems for industry and academia (1:01). So this gives us a ____________ perspective on what machines can do, what they can't do and what jobs they might ____________ or ____________ (1:09).

assessing - handwritten - breakthroughs

Find the vocabulary you've learned from the worksheet in the video transcript (vocabulary + complete the sentence + collocations) (1:09) Machine learning started making its way into industry in the early nineties (1:12). It started with relatively simple tasks (1:14). It started with things like ___________ credit risk from loan applications, sorting the mail by reading ______________characters from zip codes. Over the past few years, we have made dramatic __________________ (1:26). Machine learning is now capable of far, far more complex tasks.

algorithm - match - match

Find the vocabulary you've learned from the worksheet in the video transcript (vocabulary + complete the sentence + collocations) (1:30) In 2012, Kaggle challenged its community to build an ___________ that could grade high-school essays. The winning algorithms were able to __________ the grades given by human teachers (1:42). Last year, we issued an even more difficult challenge. (1:45) Can you take images of the eye and diagnose an eye disease called diabetic retinopathy? (1:50) Again, the winning algorithms were able to ________ the diagnoses given by human ophthalmologists.

outperform

Find the vocabulary you've learned from the worksheet in the video transcript (vocabulary + complete the sentence + collocations) (1:56) Now, given the right data, machines are going to ____________ humans at tasks like this. A teacher might read 10,000 essays over a 40-year career. An ophthalmologist might see 50,000 eyes. A machine can read millions of essays or see millions of eyes within minutes. (2:15) We have no chance of competing against machines on frequent, high-volume tasks (2:19).

tackling - situations - threads

Find the vocabulary you've learned from the worksheet in the video transcript (vocabulary + complete the sentence + collocations) (2:19) But there are things we can do that machines can't do. Where machines have made very little progress is in ____________ novel _____________. They can't handle things they haven't seen many times before. The fundamental limitations of machine learning is that it needs to learn from large volumes of past data. Now, humans don't. We have the ability to connect seemingly disparate _____________ to solve problems we've never seen before.

shrink their ranks - harder to come by

Find the vocabulary you've learned from the worksheet in the video transcript (vocabulary + complete the sentence + collocations) (3:37) On frequent, high-volume tasks, machines are getting smarter and smarter. Today they grade essays, they diagnose certain diseases. Over coming years, they're going to conduct our audits, and they're going to read boilerplate from legal contracts. Accountants and lawyers are still needed. They're going to be needed for complex tax structuring, for pathbreaking litigation (3:56); but machines will __________ _________ ____________ and make these jobs ____________ _____ ___________ _______ (3:59).

grab - attention - stand out from the crowd - finding gaps in the market

Find the vocabulary you've learned from the worksheet in the video transcript (vocabulary + complete the sentence + collocations) (3:59) Now, as mentioned, machines are not making progress on novel situations. (4:03) The copy behind a marketing campaign needs to ________ consumers' _____________. It has to __________ ____________ _______ _______ _____________ (4:09). (4:10) Business strategy means _______________ ____________ ______ ________ ______________ , things that nobody else is doing.

to what extent - reducible - to what extent - tackling new situations

Find the vocabulary you've learned from the worksheet in the video transcript (vocabulary + complete the sentence + collocations) So what does this mean for the future of work? (3.26) The future state of any single job lies in the answer to a single question (3:29: to what ___________ is that job ________________ to frequent, high volume tasks and (3:34) ________ __________ ____________ it involves ___________ ______________ ____________ (3:37).

breakthrough

_____________: An important discovery or event that helps to improve a situation or provide an answer to a problem (avance, logro, hallazgo, descubrimiento)

(one in every two jobs) - Machine learning

4) WHAT DO YOU REMEMBER? 1. (0:26)How many jobs have a risk of being automated in the future? What's to blame for this disruption? (0:44)