The Clock That Changed the World: How John Harrison’s Portable Clock Revolutionized Sea Navigation in the 18th Century

In the ear­ly eigh­teenth cen­tu­ry, a pock­et watch could keep rea­son­ably accu­rate time, give or take a minute per day. This may not sound too bad, giv­en how we now regard even the most advanced tech­nol­o­gy of that era. But it cer­tain­ly was­n’t good enough for marine nav­i­ga­tion: each day, a ship could tol­er­ate its clocks gain­ing or los­ing only a cou­ple of sec­onds. With­out prop­er reli­able infor­ma­tion about the time, sailors on the open sea had no way of know­ing quite where they were. More specif­i­cal­ly, the sun told them how far north or south they were, their lat­i­tude, but they did­n’t know how far east or west they were, their lon­gi­tude.

The­o­ret­i­cal­ly speak­ing, the “lon­gi­tude prob­lem” was eas­i­ly solv­able. You could cal­cu­late it, writes Gear Patrol’s Ed Est­low, “by sight­ing the sun at high noon where you were, and if you had a good enough clock for the time back home, you could com­pare the two and, with some sim­ple math­e­mat­ics, deter­mine your posi­tion.” But engi­neer­ing such a good-enough clock in real­i­ty took about half a cen­tu­ry. “In 1714, the British gov­ern­ment offered the huge prize of £20,000 (rough­ly £2 mil­lion today) to any­one who could solve the lon­gi­tude prob­lem once and for all.” But the mon­ey was­n’t ful­ly claimed until 1773, by a York­shire clock­mak­er John Har­ri­son.

Har­rison’s name looms large in the annals of chronom­e­try, and not with­out rea­son. His work of invent­ing an accu­rate ship clock involved the cre­ation of five dif­fer­ent mod­els, known by his­to­ri­ans as H1 through H5. H1 was a portable ver­sion of the kind of siz­able wood­en clock with which he’d already made his name. It was only in with H4, in 1765, that he real­ized small is beau­ti­ful, or rather accu­rate, at least if equipped with over­sized inter­nal bal­ance wheels to hold up more reli­ably against the con­stant move­ment of a ship at sea. This design worked with­out a hitch, but even so, the Board of Lon­gi­tude only saw fit to award him half the mon­ey offered.

Nei­ther Har­rison’s solv­ing of the lon­gi­tude prob­lem nor his receipt of a dis­ap­point­ing­ly halved prize seem to have stopped his obses­sion with build­ing ever-bet­ter time­keep­ing devices. This comes as no sur­prise giv­en the qual­i­ties of mind that emerge in “The Clock That Changed the World,” the episode of BBC’s A His­to­ry of the World at the top of the post. While work­ing on H5, Har­ri­son “sought the sup­port of King George III” (he of the famous mad­ness). “The King, a nat­ur­al philoso­pher in his own right, test­ed H5 him­self and promised Har­ri­son his sup­port.” That sup­port final­ly got the elder­ly Har­ri­son his promised amount and then some, but one sens­es that — like any pur­suit wor­thy of one’s life­long ded­i­ca­tion — it was nev­er real­ly about the mon­ey.

Relat­ed con­tent:

New Archive Reveals How Sci­en­tists Final­ly Solved the Vex­ing “Lon­gi­tude Prob­lem” Dur­ing the 1700s

How Clocks Changed Human­i­ty For­ev­er, Mak­ing Us Mas­ters and Slaves of Time

The Plan­e­tar­i­um Table Clock: Mag­nif­i­cent 1775 Time­piece Tracks the Pass­ing of Time & the Trav­el of the Plan­ets

How Did Car­tog­ra­phers Cre­ate World Maps before Air­planes and Satel­lites? An Intro­duc­tion

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall, on Face­book, or on Insta­gram.

An AI-Generated Painting Won First Prize at a State Fair & Sparked a Debate About the Essence of Art

Théâtre D’opéra Spa­tial by Jason Allen Jason Allen via Dis­cord

The tech­nol­o­gy behind arti­fi­cial intel­li­gence-aid­ed art has long been in devel­op­ment, but the era of arti­fi­cial intel­li­gence-aid­ed art feels like a sud­den arrival. Since the recent release of DALL‑E and oth­er image-gen­er­a­tion tools, our social-media feeds have filled up with elab­o­rate art­works and even pho­to­re­al­is­tic-look­ing pic­tures cre­at­ed entire­ly through the algo­rith­mic pro­cess­ing of a sim­ple ver­bal descrip­tion. We now live in a time, that is to say, where we type in a few words and get back an image nobody has ever before imag­ined, let alone seen. And if we do it right, that image could win a blue rib­bon at the state fair.

“This year, the Col­orado State Fair’s annu­al art com­pe­ti­tion gave out prizes in all the usu­al cat­e­gories: paint­ing, quilt­ing, sculp­ture,” reports the New York Times’ Kevin Roose. “But one entrant, Jason M. Allen of Pueblo West, Colo., didn’t make his entry with a brush or a lump of clay. He cre­at­ed it with Mid­jour­ney, an arti­fi­cial intel­li­gence pro­gram that turns lines of text into hyper-real­is­tic graph­ics.” The work, Théâtre D’opéra Spa­tial, “took home the blue rib­bon in the fair’s con­test for emerg­ing dig­i­tal artists,” and it does look, at first glance, like an impres­sion­is­tic and ambi­ence-rich past-future vision that could grace the cov­er of one of the bet­ter class of sci­ence-fic­tion or fan­ta­sy nov­els.

Reac­tions have, of course, var­ied. Roose finds at least one Twit­ter user insist­ing that “we’re watch­ing the death of artistry unfold right before our eyes,” and an actu­al work­ing artist claim­ing that “this thing wants our jobs.” Allen him­self pro­vides a help­ful­ly brash clos­ing quote: “This isn’t going to stop. Art is dead, dude. It’s over. A.I. won. Humans lost.” Over on Metafil­ter, one com­menter makes the expect­ed ref­er­ence: “It has a sort of Duchamp-sub­mit­ting-Foun­tain vibe, only in reverse. Instead of the propo­si­tion being that the jury would wrong­ly fail to rec­og­nize some­thing triv­ial and as art, now we have the propo­si­tion that the jury would wrong­ly fail to rec­og­nize that the art is some­thing triv­ial.”

How­ev­er lit­tle desire you may have to hang Théâtre D’opéra Spa­tial on your own wall, a momen­t’s thought will sure­ly lead you to sus­pect that, on anoth­er lev­el, the con­di­tions that brought about its vic­to­ry are any­thing but triv­ial. Mid­jour­ney, as the orig­i­nal poster on Metafil­ter explains, “can be run on any com­put­er with a decent GPU, a Google col­lab, or run through their own servers.” The abil­i­ty to gen­er­ate more-or-less con­vinc­ing works of art (often lit­tered, it must be said, with the bizarre visu­al glitch­es that have been the tech­nol­o­gy’s sig­na­ture so far) out of just a few key­strokes will only become more pow­er­ful and more wide­spread. And so the “real” artists must find a new form too vital for the machines to mas­ter — just as they’ve had to do all through­out moder­ni­ty.

Relat­ed con­tent:

Dis­cov­er DALL‑E, the Arti­fi­cial Intel­li­gence Artist That Lets You Cre­ate Sur­re­al Art­work

The Long-Lost Pieces of Rembrandt’s Night Watch Get Recon­struct­ed with Arti­fi­cial Intel­li­gence

What Hap­pens When Arti­fi­cial Intel­li­gence Cre­ates Images to Match the Lyrics of Icon­ic Songs: David Bowie’s “Star­man,” Led Zeppelin’s “Stair­way to Heav­en”, ELO’s “Mr. Blue Sky” & More

AI & X‑Rays Recov­er Lost Art­works Under­neath Paint­ings by Picas­so & Modigliani

Arti­fi­cial Intel­li­gence Brings Sal­vador Dalí Back to Life: “Greet­ings, I Am Back”

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall, on Face­book, or on Insta­gram.

The Improbable Invention of Chinese Typewriters & Computer Keyboards: Three Videos Tell the Techno-Cultural Story

Even if you don’t speak a word of Chi­nese, you sure­ly know that the lan­guage uses not an alpha­bet, but ideo­graph­ic char­ac­ters: about 50,000 of them, all told, 3,000 to 5,000 of which must be mem­o­rized in order to achieve rea­son­able lit­er­a­cy. The poten­tial for con­flict between the Chi­nese writ­ing sys­tem and twen­ty-first-cen­tu­ry tech­nol­o­gy hard­ly needs expla­na­tion. How, in short, do Chi­nese peo­ple type? Youtu­ber John­ny Har­ris offers an expla­na­tion in the video above, begin­ning with the per­haps coun­ter­in­tu­itive answer that Chi­nese peo­ple type with more or less the same key­board every­one else does — when they’re using a com­put­er, at any rate.

Our smart­phone age has giv­en rise to a num­ber of dif­fer­ent input sys­tems, all designed to per­form the same basic task of adapt­ing the ancient and elab­o­rate writ­ten Chi­nese lan­guage to dig­i­tal moder­ni­ty. In Har­ris’ telling, these tech­nolo­gies turn on two major devel­op­ments: the cre­ation of pinyin, a ver­sion of the Latin alpha­bet that pho­net­i­cal­ly rep­re­sents Chi­nese char­ac­ters, and the devel­op­ment of algo­rithms that pre­dict which char­ac­ter the user wants to type next.

His expla­na­tion is breezy and not with­out its errors (the dia­gram about thir­teen min­utes in, for exam­ple, actu­al­ly shows the Kore­an alpha­bet), and you might con­sid­er sup­ple­ment­ing it with videos like expa­tri­ate Matthew Tye’s more detailed “How Do Chi­nese Peo­ple Type?” above.

But if you tru­ly want to under­stand the evo­lu­tion of Chi­nese typ­ing, you must begin with the Chi­nese type­writer — and so must read Tom Mul­laney. A Pro­fes­sor of East Asian Lan­guage and Cul­tures at Stan­ford Uni­ver­si­ty, Mul­laney pub­lished The Chi­nese Type­writer: A His­to­ry five years ago, and has more recent­ly been at work on a fol­low-up on the Chi­nese com­put­er. In the lec­ture above, he recounts the Chi­nese type­writer’s once-impos­si­ble-seem­ing devel­op­ment in an hour and a half, con­nect­ing it to a host of cul­tur­al, lin­guis­tic, ortho­graph­ic, and tech­no­log­i­cal phe­nom­e­na along the way. It’s a sto­ry of inge­nu­ity, but also of sur­vival. Chi­nese made it through the twen­ti­eth cen­tu­ry with­out being man­gled or abol­ished to meet the lim­i­ta­tions of West­ern engi­neer­ing, but not every writ­ing sys­tem was quite so lucky.

Relat­ed con­tent:

Free Chi­nese Lessons

Behold the 1940s Type­writer That Could Type in Eng­lish, Chi­nese & Japan­ese: Watch More Than a Thou­sand Dif­fer­ent Char­ac­ters in Action

An Ani­mat­ed His­to­ry of Writ­ing: From Ancient Egypt to Mod­ern Writ­ing Sys­tems

When IBM Cre­at­ed a Type­writer to Record Dance Move­ments (1973)

Dis­cov­er the Inge­nious Type­writer That Prints Musi­cal Nota­tion: The Keaton Music Type­writer Patent­ed in 1936

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall, on Face­book, or on Insta­gram.

What Happens When Artificial Intelligence Creates Images to Match the Lyrics of Iconic Songs: David Bowie’s “Starman,” Led Zeppelin’s “Stairway to Heaven”, ELO’s “Mr. Blue Sky” & More

Lyri­cists must write con­crete­ly enough to be evoca­tive, yet vague­ly enough to allow each lis­ten­er his per­son­al inter­pre­ta­tion. The nine­teen-six­ties and sev­en­ties saw an espe­cial­ly rich bal­ance struck between res­o­nant ambi­gu­i­ty and mas­sive pop­u­lar­i­ty — aid­ed, as many involved par­ties have admit­ted, by the use of cer­tain psy­choac­tive sub­stances. Half a cen­tu­ry lat­er, the visions induced by those same sub­stances offer the clos­est com­par­i­son to the strik­ing fruits of visu­al arti­fi­cial-intel­li­gence projects like Google’s Deep Dream a few years ago or DALL‑E today. Only nat­ur­al, per­haps, that these advanced appli­ca­tions would soon­er or lat­er be fed psy­che­del­ic song lyrics.

The video at the top of the post presents the Elec­tric Light Orches­tra’s 1977 hit “Mr. Blue Sky” illus­trat­ed by images gen­er­at­ed by arti­fi­cial intel­li­gence straight from its words. This came as a much-antic­i­pat­ed endeav­or for Youtube chan­nel SolarProphet, which has also put up sim­i­lar­ly AI-accom­pa­nied pre­sen­ta­tions of such already goofy-image-filled com­e­dy songs as Lemon Demon’s “The Ulti­mate Show­down” and Neil Ciciere­ga’s “It’s Gonna Get Weird.”

Youtu­ber Daara has also cre­at­ed ten entries in this new genre, includ­ing Queen’s “Don’t Stop Me Now,” The Eagles’ “Hotel Cal­i­for­nia,” and (the recent­ly-fea­tured-on-Open-Cul­ture) Kate Bush’s “Run­ning Up That Hill.”

Jut above appears a video for David Bowie’s “Star­man” with AI-visu­al­ized lyrics, cre­at­ed by Youtu­ber Aidon­t­know. Cre­at­ed isn’t too strong a word, since DALL‑E and oth­er appli­ca­tions cur­rent­ly avail­able to the pub­lic pro­vide a selec­tion of images for each prompt, leav­ing it to human users to pro­vide specifics about the aes­thet­ic — and, in the case of these videos, to select the result that best suits each line. One delight of this par­tic­u­lar pro­duc­tion, apart from the boo­gieing chil­dren, is see­ing how the AI imag­ines var­i­ous star­men wait­ing in the sky, all of whom look sus­pi­cious­ly like ear­ly-sev­en­ties Bowie. Of all his songs of that peri­od, sure­ly “Life on Mars?” would be choice num­ber one for an AI music video — but then, its imagery may well be too bizarre for cur­rent tech­nol­o­gy to han­dle.

Relat­ed con­tent:

Dis­cov­er DALL‑E, the Arti­fi­cial Intel­li­gence Artist That Lets You Cre­ate Sur­re­al Art­work

Arti­fi­cial Intel­li­gence Pro­gram Tries to Write a Bea­t­les Song: Lis­ten to “Daddy’s Car”

What Hap­pens When Arti­fi­cial Intel­li­gence Lis­tens to John Coltrane’s Inter­stel­lar Space & Starts to Cre­ate Its Own Free Jazz

Arti­fi­cial Intel­li­gence Writes a Piece in the Style of Bach: Can You Tell the Dif­fer­ence Between JS Bach and AI Bach?

Arti­fi­cial Intel­li­gence Cre­ates Real­is­tic Pho­tos of Peo­ple, None of Whom Actu­al­ly Exist

Nick Cave Answers the Hot­ly Debat­ed Ques­tion: Will Arti­fi­cial Intel­li­gence Ever Be Able to Write a Great Song?

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall, on Face­book, or on Insta­gram.

“When We All Have Pocket Telephones”: A 1920s Comic Accurately Predicts Our Cellphone-Dominated Lives

Much has been said late­ly about jokes that “haven’t aged well.” Some­times it has do to with shift­ing pub­lic sen­si­bil­i­ties, and some­times with a gag’s exag­ger­a­tion hav­ing been sur­passed by the facts of life. As a Twit­ter user named Max Salt­man post­ed not long ago, “I love find­ing New York­er car­toons so dat­ed that the joke is lost entire­ly and the car­toons become just descrip­tions of peo­ple doing nor­mal things.” The exam­ples includ­ed a par­ty­go­er admit­ting that “I haven’t read it yet, but I’ve down­loaded it from the inter­net,” and a teacher admon­ish­ing her stu­dents to “keep your eyes on your own screen.”

All of those New York­er car­toons appear to date from the nine­teen-nineties. Even more pre­scient yet much old­er is the Dai­ly Mir­ror car­toon at the top of the post, drawn by artist W. K. Haselden at some point between 1919 and 1923. It envi­sions a time “when we all have pock­et tele­phones,” liable to ring at the most incon­ve­nient times: “when run­ning for a train,” “when your hands are full,” “at a con­cert,” even “when you are being mar­ried.” Such a com­ic strip could nev­er, as they say, be pub­lished today — not because of its poten­tial to offend mod­ern sen­si­tiv­i­ties, but because of its sheer mun­dan­i­ty.

For here in the twen­ty-twen­ties, we all, indeed, have pock­et tele­phones. Not only that, we’ve grown so accus­tomed to them that Haselden’s car­toon feels rem­i­nis­cent of the turn of the mil­len­ni­um, when the nov­el­ty and pres­tige of cell­phones (to say noth­ing of their grat­ing­ly sim­ple ring­tones) made them feel more intru­sive in day-to-day-life. Now, increas­ing­ly, cell­phones are day-to-day life. Far from the lit­er­al “pock­et tele­phones” envi­sioned a cen­tu­ry ago, they’ve worked their way into near­ly every aspect of human exis­tence, includ­ing those Haselden could nev­er have con­sid­ered.

Yet this was­n’t the first time any­one had imag­ined such a thing. “Rumors of a ‘pock­et phone’ had been ring­ing around the world since 1906,” writes Laugh­ing Squid’s Lori Dorn. “A man named Charles E. Alden claimed to have cre­at­ed a device that could eas­i­ly fit inside a vest pock­et and used a ‘wire­less bat­tery.’ ” In the event, it would take near­ly eight decades for the first cell­phone to arrive on the mar­ket, and three more on top of that for them to become indis­pens­able in the West. Now the “pock­et tele­phone” has become the defin­ing device of our era all over the world, though the social norms around its use do remain a work in progress.

via Laugh­ing Squid

Relat­ed con­tent:

The First Cell­phone: Dis­cov­er Motorola’s DynaT­AC 8000X, a 2‑Pound Brick Priced at $3,995 (1984)

Lyn­da Bar­ry on How the Smart­phone Is Endan­ger­ing Three Ingre­di­ents of Cre­ativ­i­ty: Lone­li­ness, Uncer­tain­ty & Bore­dom

Film­mak­er Wim Wen­ders Explains How Mobile Phones Have Killed Pho­tog­ra­phy

A 1947 French Film Accu­rate­ly Pre­dict­ed Our 21st-Cen­tu­ry Addic­tion to Smart­phones

The World’s First Mobile Phone Shown in 1922 Vin­tage Film

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall, on Face­book, or on Insta­gram.

Damien Hirst’s NFT Experiment Comes to an End: How Many Buyers Chose Digital Tokens Over Physical Artworks?

Damien Hirst is into NFTs. Some will regard this as a reflec­tion on the artist, and oth­ers a reflec­tion on the tech­nol­o­gy. Whether you take those reflec­tions to be pos­i­tive or neg­a­tive reveals some­thing about your own con­cept of how the art world, the busi­ness world, and the dig­i­tal world inter­sect. So will your reac­tion to The Cur­ren­cy, Hirst’s just-com­plet­ed art project and tech­no­log­i­cal exper­i­ment. Launched in July of last year, it pro­duced 10,000 unique non-fun­gi­ble tokens “that were each asso­ci­at­ed with cor­re­spond­ing art­works the British artist made in 2016,” as Art­net’s Car­o­line Gold­stein writes. “The dig­i­tal tokens were sold via a lot­tery sys­tem for $2,000.”

Hirst also laid down an unprece­dent­ed con­di­tion: he announced “that his col­lec­tors would have to make a choice between the phys­i­cal art­work and its dig­i­tal ver­sion, and set a one-year dead­line — ask­ing them, in effect, to vote for which had more last­ing val­ue.” For each buy­er who choos­es the orig­i­nal work, Hirst would assign its NFT to an inac­ces­si­ble address, the clos­est thing to destroy­ing it. And for each buy­er who choos­es the NFT, Hirst would throw the paper ver­sion onto a bon­fire. The final num­bers, as Hirst tweet­ed out at the end of last month, came to “5,149 phys­i­cals and 4,851 NFTs (mean­ing I will have to burn 4,851 cor­re­spond­ing phys­i­cal Ten­ders).” Hirst also retained 1,000 copies for him­self.

“In the begin­ning I had thought I would def­i­nite­ly choose all phys­i­cal,” Hirst explains. “Then I thought half-half and then I felt I had to keep all my 1,000 as NFTs and then all paper again and round and round I’ve gone, head in a spin.” In the end he went whol­ly dig­i­tal, hav­ing decid­ed that “I need to show my 100 per­cent sup­port and con­fi­dence in the NFT world (even though it means I will have to destroy the cor­re­spond­ing 1000 phys­i­cal art­works).” Per­haps this was a vic­to­ry of Hirst’s neophil­ia, but then, those instincts have served him well before: few liv­ing artists have man­aged to draw such pub­lic fas­ci­na­tion, enam­ored or hos­tile, for so many years straight — let alone such for­mi­da­ble sale prices, and not just for his stuffed shark.

“I’ve nev­er real­ly under­stood mon­ey,” Hirst says to Stephen Fry in the video above. (You can watch an extend­ed ver­sion of their con­ver­sa­tion here.) “All these things — art, mon­ey, com­merce — they’re all ethe­re­al,” ulti­mate­ly based on noth­ing more than “belief and trust.” Return­ing to the tech­niques of his ear­ly “spot paint­ings” — those he made him­self before farm­ing the task out to stead­ier-hand­ed assis­tants — and mint­ing the results into unique dig­i­tal objects for sale was per­haps an attempt to get his head around the even less intu­itive con­cept of the NFT. All told, The Cur­ren­cy brought in about $89 mil­lion in rev­enue. More telling will be the price of its tokens on the sec­ondary mar­ket, where they’re chang­ing hands at the moment for around $7,000: a price impos­si­ble prop­er­ly to eval­u­ate for now, and thus not with­out the thrilling ambi­gu­i­ty of cer­tain mod­ern art­works.

via Art­net

Relat­ed con­tent:

What are Non-Fun­gi­ble Tokens (NFTs)? And How Can a Work of Dig­i­tal Art Sell for $69 Mil­lion

Bri­an Eno Shares His Crit­i­cal Take on Art & NFTs: “I Main­ly See Hus­tlers Look­ing for Suck­ers”

The Art Mar­ket Demys­ti­fied in Four Short Doc­u­men­taries

Mark Rothko Is Toast… and More Edi­ble Art from SFMOMA

Damien Hirst Takes Us Through His New Exhi­bi­tion at Tate Mod­ern

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall, on Face­book, or on Insta­gram.

The First Photographs Taken by the Webb Telescope: See Faraway Galaxies & Nebulae in Unprecedented Detail


Late last year we fea­tured the amaz­ing engi­neer­ing of the James Webb Space Tele­scope, which is now the largest opti­cal tele­scope in space. Capa­ble of reg­is­ter­ing phe­nom­e­na old­er, more dis­tant, and fur­ther off the vis­i­ble spec­trum than any pre­vi­ous device, it will no doubt show us a great many things we’ve nev­er seen before. In fact, it’s already begun: ear­li­er this week, NASA’s God­dard Space Flight Cen­ter released the first pho­tographs tak­en through the Webb tele­scope, which “rep­re­sent the first wave of full-col­or sci­en­tif­ic images and spec­tra the obser­va­to­ry has gath­ered, and the offi­cial begin­ning of Webb’s gen­er­al sci­ence oper­a­tions.”

The areas of out­er space depict­ed in unprece­dent­ed detail by these pho­tos include the Cari­na Neb­u­la (top), the South­ern Ring Neb­u­la (2nd image on this page), and the galaxy clus­ters known as Stephan’s Quin­tet (the home of the angels in It’s a Won­der­ful Life) and SMACS 0723 (bot­tom).

That last, notes Petapix­el’s Jaron Schnei­der, “is the high­est res­o­lu­tion pho­to of deep space that has ever been tak­en,” and the light it cap­tures “has trav­eled for more than 13 bil­lion years.” What this com­pos­ite image shows us, as NASA explains, is SMACS 0723 “as it appeared 4.6 bil­lion years ago” — and its “slice of the vast uni­verse cov­ers a patch of sky approx­i­mate­ly the size of a grain of sand held at arm’s length by some­one on the ground.”

All this can be a bit dif­fi­cult to get one’s head around, at least if one is pro­fes­sion­al­ly involved with nei­ther astron­o­my nor cos­mol­o­gy. But few imag­i­na­tions could go un-cap­tured by the rich­ness of the images them­selves. Sharp, rich in col­or, var­ied in tex­ture — and in the case of the Cari­na Neb­u­la or “Cos­mic Cliffs,” NASA adds, “seem­ing­ly three-dimen­sion­al” — they could have come straight from a state-of-the-art sci­ence-fic­tion movie. In fact they out­do even the most advanced sci-fi visions, as NASA’s Earth­rise out­did even the uncan­ni­ly real­is­tic-in-ret­ro­spect views of the Earth from space imag­ined by Stan­ley Kubrick and his col­lab­o­ra­tors in 2001: A Space Odyssey.

But these pho­tos are the fruits of a real-life jour­ney toward the final fron­tier, one you can fol­low in real time on NASA’s “Where Is Webb?” track­er. “Webb was designed to spend the next decade in space,” writes Colos­sal’s Grace Ebert. “How­ev­er, a suc­cess­ful launch pre­served sub­stan­tial fuel, and NASA now antic­i­pates a trove of insights about the uni­verse for the next twen­ty years.” That’s quite a long run by the cur­rent stan­dards of space explo­ration — but then, by the scale of space and time the Webb tele­scope has new­ly opened up, even 100 mil­len­nia is the blink of an eye.

Relat­ed con­tent:

The Amaz­ing Engi­neer­ing of James Webb Tele­scope

How to Take a Pic­ture of a Black Hole: Watch the 2017 Ted Talk by Katie Bouman, the MIT Grad Stu­dent Who Helped Take the Ground­break­ing Pho­to

How Sci­en­tists Col­orize Those Beau­ti­ful Space Pho­tos Tak­en By the Hub­ble Space Tele­scope

The Very First Pic­ture of the Far Side of the Moon, Tak­en 60 Years Ago

The First Images and Video Footage from Out­er Space, 1946–1959

The Beau­ty of Space Pho­tog­ra­phy

Based in Seoul, Col­in Mar­shall writes and broad­casts on cities, lan­guage, and cul­ture. His projects include the Sub­stack newslet­ter Books on Cities, the book The State­less City: a Walk through 21st-Cen­tu­ry Los Ange­les and the video series The City in Cin­e­ma. Fol­low him on Twit­ter at @colinmarshall, on Face­book, or on Insta­gram.

Computer Scientist Andrew Ng Presents a New Series of Machine Learning Courses–an Updated Version of the Popular Course Taken by 5 Million Students

Back in 2017, Cours­era co-founder and for­mer Stan­ford com­put­er sci­ence pro­fes­sor Andrew Ng launched a five-part series of cours­es on “Deep Learn­ing” on the edtech plat­form, a series meant to “help you mas­ter Deep Learn­ing, apply it effec­tive­ly, and build a career in AI.” These cours­es extend­ed his ini­tial Machine Learn­ing course, which has attract­ed almost 5 mil­lion stu­dents since 2012, in an effort, he said, to build “a new AI-pow­ered soci­ety.”

Ng’s goals are ambi­tious, to “teach mil­lions of peo­ple to use these AI tools so they can go and invent the things that no large com­pa­ny, or com­pa­ny I could build, could do.” His new Machine Learn­ing Spe­cial­iza­tion at Cours­era takes him sev­er­al steps fur­ther in that direc­tion with an “updat­ed ver­sion of [his] pio­neer­ing Machine Learn­ing course,” notes Cours­er­a’s descrip­tion, pro­vid­ing “a broad intro­duc­tion to mod­ern machine learn­ing.” The spe­cial­iza­tion’s three cours­es include 1) Super­vised Machine Learn­ing: Regres­sion and Clas­si­fi­ca­tion, 2) Advanced Learn­ing Algo­rithms, and 3) Unsu­per­vised Learn­ing, Rec­om­menders, Rein­force­ment Learn­ing. Col­lec­tive­ly, the cours­es in the spe­cial­iza­tion will teach you to:

  • Build machine learn­ing mod­els in Python using pop­u­lar machine learn­ing libraries NumPy and scik­it-learn.
  • Build and train super­vised machine learn­ing mod­els for pre­dic­tion and bina­ry clas­si­fi­ca­tion tasks, includ­ing lin­ear regres­sion and logis­tic regres­sion.
  • Build and train a neur­al net­work with Ten­sor­Flow to per­form mul­ti-class clas­si­fi­ca­tion.
  • Apply best prac­tices for machine learn­ing devel­op­ment so that your mod­els gen­er­al­ize to data and tasks in the real world.
  • Build and use deci­sion trees and tree ensem­ble meth­ods, includ­ing ran­dom forests and boost­ed trees.
  • Use unsu­per­vised learn­ing tech­niques for unsu­per­vised learn­ing: includ­ing clus­ter­ing and anom­aly detec­tion.
  • Build rec­om­mender sys­tems with a col­lab­o­ra­tive fil­ter­ing approach and a con­tent-based deep learn­ing method.
  • Build a deep rein­force­ment learn­ing mod­el.

The skills stu­dents learn in Ng’s spe­cial­iza­tion will bring them clos­er to careers in big data, machine learn­ing, and AI engi­neer­ing. Enroll in Ng’s Spe­cial­iza­tion here free for 7 days and explore the mate­ri­als in all three cours­es. If you’re con­vinced the spe­cial­iza­tion is for you, you’ll pay $49 per month until you com­plete the three-course spe­cial­iza­tion, and you’ll earn a cer­tifi­cate upon com­ple­tion of a hands-on project using all of your new machine learn­ing skills. You can sign up for the Machine Learn­ing Spe­cial­iza­tion here.

Note: Open Cul­ture has a part­ner­ship with Cours­era. If read­ers enroll in cer­tain Cours­era cours­es and pro­grams, it helps sup­port Open Cul­ture.

Relat­ed Con­tent:

New Deep Learn­ing Cours­es Released on Cours­era, with Hope of Teach­ing Mil­lions the Basics of Arti­fi­cial Intel­li­gence

Cours­era Makes Cours­es & Cer­tifi­cates Free Dur­ing Coro­n­avirus Quar­an­tine: Take Cours­es in Psy­chol­o­gy, Music, Well­ness, Pro­fes­sion­al Devel­op­ment & More Online

Google & Cours­era Launch Career Cer­tifi­cates That Pre­pare Stu­dents for Jobs in 6 Months: Data Ana­lyt­ics, Project Man­age­ment and UX Design

Google Unveils a Dig­i­tal Mar­ket­ing & E‑Commerce Cer­tifi­cate: 7 Cours­es Will Help Pre­pare Stu­dents for an Entry-Lev­el Job in 6 Months       

Josh Jones is a writer and musi­cian based in Durham, NC. Fol­low him at @jdmagness

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