👀DAILY HINDU EDITORIAL WORD BYTES -1-> 12 JUNE👀
💥Daily Word Bytes - 1 from editorial - AI garage? — on kickstarting artificial intelligence💥
artificial intelligence (noun) – an area of computer science that deals with giving machines the ability to seem like they have human intelligence
Hindu Editorial usage : The NITI Aayog has published an ambitious discussion paper on kickstarting the artificial intelligence (AI) ecosystem in India.
buy-in (noun) – agreement, contract, acceptance (of something (idea) that someone suggests).
Hindu Editorial usage : To realise India’s potential in the field, a strong buy-in from policymakers is needed
ambitious (adjective) – determined, purposeful/forward-looking, aggressive.
Hindu Editorial usage : The NITI Aayog has published an ambitious discussion paper on kickstarting the artificial intelligence (AI) ecosystem in India.
kick-start (verb) – revive, revitalize, resuscitate.
Hindu Editorial usage : The NITI Aayog has published an ambitious discussion paper on kickstarting the artificial intelligence (AI) ecosystem in India.
cognitive (adjective) – related to the mental processes (cognition) of thinking, understanding,
learning, remembering.
Hindu Editorial usage : AI is the use of computers to mimic human cognitive processes for decision-making.
pull off (phrasal verb) – achieve, succeed in, accomplish.
Hindu Editorial usage : To pull this off, India would have to develop AI tools for a range of applications: reading cancer pathology reports, rerouting traffic in smart cities, telling farmers where to store their produce, and picking students at high risk of dropping out from school, among them.
pathology (noun) – a branch of medical science primarily concerning the cause, origin and nature of disease.
Hindu Editorial usage : To pull this off, India would have to develop AI tools for a range of applications: reading cancer pathology reports, rerouting traffic in smart cities, telling farmers where to store their produce, and picking students at high risk of dropping out from school, among them.
reroute (verb) – redirect, avert, transfer.
Hindu Editorial usage : To pull this off, India would have to develop AI tools for a range of applications: reading cancer pathology reports, rerouting traffic in smart cities, telling farmers where to store their produce, and picking students at high risk of dropping out from school, among them.
produce (noun) – agricultural products.
Hindu Editorial usage : To pull this off, India would have to develop AI tools for a range of applications: reading cancer pathology reports, rerouting traffic in smart cities, telling farmers where to store their produce, and picking students at high risk of dropping out from school, among them.
a tall order (phrase) – demanding, exacting, difficult (thing to do).
Hindu Editorial usage : It is a tall order, but several countries have similar ambitions. The U.S., Japan and China have published their AI strategy documents and, importantly, put their money where their aspirations are. China,
hand out (phrasal verb) – distribute, dispense, give out.
Hindu Editorial usage : for example, plans to hand out a million dollars in subsidies to AI firms, as well as to run a five-year university programme for 500 teachers and 5,000 students
get going (phrase) – start, begin, get under way.
Hindu Editorial usage : The NITI Aayog does not talk about how India’s ambitions will be funded, but proposes an institutional structure to get things going
lofty (adjective) – tall, high, giant.
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
beg the question (phrase) – raise a point; invite question.
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
bring something to pass (phrase) – make happen, cause, result in.
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
sombre (adjective) – serious, stern, grim.
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
a word/note of caution (phrase) – a warning that someone should be careful.
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
top-notch (adjective) – excellent, top-grade, top-level.
Hindu Editorial usage : The paper estimates that it has around 50 top-notch AI researchers, concentrated in elite institutions like the IITs.
elite (noun) – best, established.
Hindu Editorial usage : The paper estimates that it has around 50 top-notch AI researchers, concentrated in elite institutions like the IITs.
H-index (noun) – a measure to quantify the scientific output of a single researcher (how often his/her publication/journal papers are cited). It combines a measure of quantity (publications) and impact (citations).
Hindu Editorial usage : India’s H-index, a measure of how often its papers are cited, is behind 18 other countries.
trip up (phrasal verb) – miscalculate, err, blunder/go wrong.
Hindu Editorial usage : The technology has tripped up as often as it has delivered. Among successes, a recent study found that a Google neural network correctly identified cancerous skin lesions more often than expert dermatologists did.
lesion (noun) – wound, injury, tumour (in a part of an organ/tissue).
Hindu Editorial usage : The technology has tripped up as often as it has delivered. Among successes, a recent study found that a Google neural network correctly identified cancerous skin lesions more often than expert dermatologists did.
dermatologist (noun) – a doctor who specializes in the diagnosis and treatment of skin problems.
Hindu Editorial usage : The technology has tripped up as often as it has delivered. Among successes, a recent study found that a Google neural network correctly identified cancerous skin lesions more often than expert dermatologists did.
annotate (verb) – explain, interpret; comment on.
Hindu Editorial usage : Where data exist, this is poorly annotated, making it unusable by AI systems. Despite these formidable challenges, the scope of NITI Aayog’s paper must be lauded.
formidable (adjective) – difficult, tough, demanding.
Hindu Editorial usage : Where data exist, this is poorly annotated, making it unusable by AI systems. Despite these formidable challenges, the scope of NITI Aayog’s paper must be lauded.
laud (verb) – praise, applaud, acclaim/admire.
Hindu Editorial usage : Where data exist, this is poorly annotated, making it unusable by AI systems. Despite these formidable challenges, the scope of NITI Aayog’s paper must be lauded.
Hindu Editorial usage : The NITI Aayog has published an ambitious discussion paper on kickstarting the artificial intelligence (AI) ecosystem in India.
buy-in (noun) – agreement, contract, acceptance (of something (idea) that someone suggests).
Hindu Editorial usage : To realise India’s potential in the field, a strong buy-in from policymakers is needed
Hindu Editorial usage : The NITI Aayog has published an ambitious discussion paper on kickstarting the artificial intelligence (AI) ecosystem in India.
Hindu Editorial usage : The NITI Aayog has published an ambitious discussion paper on kickstarting the artificial intelligence (AI) ecosystem in India.
learning, remembering.
Hindu Editorial usage : AI is the use of computers to mimic human cognitive processes for decision-making.
Hindu Editorial usage : To pull this off, India would have to develop AI tools for a range of applications: reading cancer pathology reports, rerouting traffic in smart cities, telling farmers where to store their produce, and picking students at high risk of dropping out from school, among them.
Hindu Editorial usage : To pull this off, India would have to develop AI tools for a range of applications: reading cancer pathology reports, rerouting traffic in smart cities, telling farmers where to store their produce, and picking students at high risk of dropping out from school, among them.
Hindu Editorial usage : To pull this off, India would have to develop AI tools for a range of applications: reading cancer pathology reports, rerouting traffic in smart cities, telling farmers where to store their produce, and picking students at high risk of dropping out from school, among them.
Hindu Editorial usage : To pull this off, India would have to develop AI tools for a range of applications: reading cancer pathology reports, rerouting traffic in smart cities, telling farmers where to store their produce, and picking students at high risk of dropping out from school, among them.
Hindu Editorial usage : It is a tall order, but several countries have similar ambitions. The U.S., Japan and China have published their AI strategy documents and, importantly, put their money where their aspirations are. China,
Hindu Editorial usage : for example, plans to hand out a million dollars in subsidies to AI firms, as well as to run a five-year university programme for 500 teachers and 5,000 students
Hindu Editorial usage : The NITI Aayog does not talk about how India’s ambitions will be funded, but proposes an institutional structure to get things going
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
Hindu Editorial usage : These are lofty goals, but they beg the question: can India bring it to pass? In answer, the NITI Aayog offers a sombre note of caution. India hardly has any AI expertise today.
Hindu Editorial usage : The paper estimates that it has around 50 top-notch AI researchers, concentrated in elite institutions like the IITs.
Hindu Editorial usage : The paper estimates that it has around 50 top-notch AI researchers, concentrated in elite institutions like the IITs.
Hindu Editorial usage : India’s H-index, a measure of how often its papers are cited, is behind 18 other countries.
Hindu Editorial usage : The technology has tripped up as often as it has delivered. Among successes, a recent study found that a Google neural network correctly identified cancerous skin lesions more often than expert dermatologists did.
Hindu Editorial usage : The technology has tripped up as often as it has delivered. Among successes, a recent study found that a Google neural network correctly identified cancerous skin lesions more often than expert dermatologists did.
Hindu Editorial usage : The technology has tripped up as often as it has delivered. Among successes, a recent study found that a Google neural network correctly identified cancerous skin lesions more often than expert dermatologists did.
Hindu Editorial usage : Where data exist, this is poorly annotated, making it unusable by AI systems. Despite these formidable challenges, the scope of NITI Aayog’s paper must be lauded.
Hindu Editorial usage : Where data exist, this is poorly annotated, making it unusable by AI systems. Despite these formidable challenges, the scope of NITI Aayog’s paper must be lauded.
laud (verb) – praise, applaud, acclaim/admire.
Hindu Editorial usage : Where data exist, this is poorly annotated, making it unusable by AI systems. Despite these formidable challenges, the scope of NITI Aayog’s paper must be lauded.
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