Date: 9/10/2024 12:11:27
From: Witty Rejoinder
ID: 2203117
Subject: 2024 Nobel Prizes

NewsWorld
Nobel Prize in physics awarded to two scientists for discoveries that enable machine learning

By Associated Press
9:17pm Oct 8, 2024

John Hopfield and Geoffrey Hinton have been awarded the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning

Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.
“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” the Nobel committee said in a press release.

Ellen Moons, a member of the Nobel committee at the Royal Swedish Academy of Sciences, said the two laureates “used fundamental concepts from statistical physics to design artificial neural networks that function as associative memories and find patterns in large data sets”.
She said that such networks have been used to advance research in physics and “have also become part of our daily lives, for instance in facial recognition and language translation”.

Three scientists won last year’s physics Nobel for providing the first split-second glimpse into the superfast world of spinning electrons, a field that could one day lead to better electronics or disease diagnoses.
The 2023 award went to French-Swedish physicist Anne L’Huillier, French scientist Pierre Agostini and Hungarian-born Ferenc Krausz for their work with the tiny part of each atom that races around the centre and is fundamental to virtually everything: chemistry, physics, our bodies and our gadgets.

Six days of Nobel announcements opened on Monday with Americans Victor Ambros and Gary Ruvkun winning the medicine prize for their discovery of tiny bits of genetic material that serve as on and off switches inside cells that help control what the cells do and when they do it.
READ MORE: Millions brace as storm of the century heads for US

Nobel announcements continue with the chemistry physics prize on Wednesday and literature on Thursday. The Nobel Peace Prize will be announced Friday and the economics award on October 14.

https://www.9news.com.au/world/nobel-prize-in-physics-awarded-to-john-hopfield-and-geoffrey-hinton-for-discoveries-that-enable-machine-learning/ad8ac318-907c-444d-8285-c5fb7fb8724f

Reply Quote

Date: 9/10/2024 12:13:16
From: Witty Rejoinder
ID: 2203118
Subject: re: 2024 Nobel Prizes

US duo Victor Ambros and Gary Ruvkun win Nobel Prize in Medicine for ‘groundbreaking discovery’
Topic:Science and Technology

Mon 7 Oct

In short:
Scientists Victor Ambros and Gary Ruvkun won the 2024 Nobel Prize in Physiology or Medicine for the discovery of microRNA and its role in gene regulation.

The Nobel assembly said in a statement that the laureates discovered the new class of tiny RNA molecules, which play a crucial role in gene regulation.

Scientists Victor Ambros and Gary Ruvkun won the 2024 Nobel Prize in Physiology or Medicine for the discovery of microRNA and its role in gene regulation, the award-giving body said on Monday.

The Nobel assembly said in a statement that the laureates discovered the new class of tiny RNA molecules, which play a crucial role in gene regulation.

“Their groundbreaking discovery revealed a completely new principle of gene regulation that turned out to be essential for multicellular organisms, including humans,” the assembly said.

The winners for medicine are selected by the Nobel Assembly of Sweden’s Karolinska Institute medical university and receive a prize sum of 11 million Swedish crowns ($1.6 million).

As every year, the medicine prize is the first in the crop of Nobels, arguably the most prestigious prizes in science, literature and humanitarian endeavour, with the remaining five set to be unveiled over the coming days.

Created in the will of Swedish dynamite inventor and businessman Alfred Nobel, the prizes have been awarded for breakthroughs in science, literature and peace since 1901, while economics is a later addition.

Different institutions award the prizes in the various fields, with peace being the only one awarded in Oslo rather than Stockholm, possibly as a result of the political union that existed between the two Nordic countries when Nobel penned his will.

Past winners of the Nobel Medicine Prize include many famous researchers such as Ivan Pavlov in 1904, most known for his experiments on behaviour using dogs, and Alexander Fleming, who shared the 1945 prize for the discovery of penicillin.

Last year’s medicine prize was awarded to the runaway favourites Katalin Kariko, a Hungarian scientist, and US colleague Drew Weissman, for discoveries that paved the way for COVID-19 vaccines that helped curb the pandemic.

Steeped in tradition, the science, literature and economics prizes are presented to the laureates in a ceremony on December 10, the anniversary of Alfred Nobel’s death, followed by a lavish banquet at Stockholm city hall.

Separate festivities attend the winner of the peace prize in Oslo on the same day.

https://www.abc.net.au/news/2024-10-07/us-duo-victor-ambros-and-gary-ruvkun-win-nobel-prize-in-medicine/104442436

Reply Quote

Date: 9/10/2024 12:15:01
From: The Rev Dodgson
ID: 2203119
Subject: re: 2024 Nobel Prizes

Witty Rejoinder said:


NewsWorld
Nobel Prize in physics awarded to two scientists for discoveries that enable machine learning

By Associated Press
9:17pm Oct 8, 2024

John Hopfield and Geoffrey Hinton have been awarded the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning

Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.
“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” the Nobel committee said in a press release.

Ellen Moons, a member of the Nobel committee at the Royal Swedish Academy of Sciences, said the two laureates “used fundamental concepts from statistical physics to design artificial neural networks that function as associative memories and find patterns in large data sets”.
She said that such networks have been used to advance research in physics and “have also become part of our daily lives, for instance in facial recognition and language translation”.

Three scientists won last year’s physics Nobel for providing the first split-second glimpse into the superfast world of spinning electrons, a field that could one day lead to better electronics or disease diagnoses.
The 2023 award went to French-Swedish physicist Anne L’Huillier, French scientist Pierre Agostini and Hungarian-born Ferenc Krausz for their work with the tiny part of each atom that races around the centre and is fundamental to virtually everything: chemistry, physics, our bodies and our gadgets.

Six days of Nobel announcements opened on Monday with Americans Victor Ambros and Gary Ruvkun winning the medicine prize for their discovery of tiny bits of genetic material that serve as on and off switches inside cells that help control what the cells do and when they do it.
READ MORE: Millions brace as storm of the century heads for US

Nobel announcements continue with the chemistry physics prize on Wednesday and literature on Thursday. The Nobel Peace Prize will be announced Friday and the economics award on October 14.

https://www.9news.com.au/world/nobel-prize-in-physics-awarded-to-john-hopfield-and-geoffrey-hinton-for-discoveries-that-enable-machine-learning/ad8ac318-907c-444d-8285-c5fb7fb8724f

A person om Quora likens this to awarding the Nobel Prize for literature to someone who wrote and performed popular songs.

Reply Quote

Date: 9/10/2024 12:17:29
From: roughbarked
ID: 2203120
Subject: re: 2024 Nobel Prizes

The Rev Dodgson said:


Witty Rejoinder said:

NewsWorld
Nobel Prize in physics awarded to two scientists for discoveries that enable machine learning

By Associated Press
9:17pm Oct 8, 2024

John Hopfield and Geoffrey Hinton have been awarded the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning

Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.
“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” the Nobel committee said in a press release.

Ellen Moons, a member of the Nobel committee at the Royal Swedish Academy of Sciences, said the two laureates “used fundamental concepts from statistical physics to design artificial neural networks that function as associative memories and find patterns in large data sets”.
She said that such networks have been used to advance research in physics and “have also become part of our daily lives, for instance in facial recognition and language translation”.

Three scientists won last year’s physics Nobel for providing the first split-second glimpse into the superfast world of spinning electrons, a field that could one day lead to better electronics or disease diagnoses.
The 2023 award went to French-Swedish physicist Anne L’Huillier, French scientist Pierre Agostini and Hungarian-born Ferenc Krausz for their work with the tiny part of each atom that races around the centre and is fundamental to virtually everything: chemistry, physics, our bodies and our gadgets.

Six days of Nobel announcements opened on Monday with Americans Victor Ambros and Gary Ruvkun winning the medicine prize for their discovery of tiny bits of genetic material that serve as on and off switches inside cells that help control what the cells do and when they do it.
READ MORE: Millions brace as storm of the century heads for US

Nobel announcements continue with the chemistry physics prize on Wednesday and literature on Thursday. The Nobel Peace Prize will be announced Friday and the economics award on October 14.

https://www.9news.com.au/world/nobel-prize-in-physics-awarded-to-john-hopfield-and-geoffrey-hinton-for-discoveries-that-enable-machine-learning/ad8ac318-907c-444d-8285-c5fb7fb8724f

A person om Quora likens this to awarding the Nobel Prize for literature to someone who wrote and performed popular songs.

More than 500 of them.

Reply Quote

Date: 9/10/2024 12:19:31
From: dv
ID: 2203122
Subject: re: 2024 Nobel Prizes

The Rev Dodgson said:


Witty Rejoinder said:

NewsWorld
Nobel Prize in physics awarded to two scientists for discoveries that enable machine learning

By Associated Press
9:17pm Oct 8, 2024

John Hopfield and Geoffrey Hinton have been awarded the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning

Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.
“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” the Nobel committee said in a press release.

Ellen Moons, a member of the Nobel committee at the Royal Swedish Academy of Sciences, said the two laureates “used fundamental concepts from statistical physics to design artificial neural networks that function as associative memories and find patterns in large data sets”.
She said that such networks have been used to advance research in physics and “have also become part of our daily lives, for instance in facial recognition and language translation”.

Three scientists won last year’s physics Nobel for providing the first split-second glimpse into the superfast world of spinning electrons, a field that could one day lead to better electronics or disease diagnoses.
The 2023 award went to French-Swedish physicist Anne L’Huillier, French scientist Pierre Agostini and Hungarian-born Ferenc Krausz for their work with the tiny part of each atom that races around the centre and is fundamental to virtually everything: chemistry, physics, our bodies and our gadgets.

Six days of Nobel announcements opened on Monday with Americans Victor Ambros and Gary Ruvkun winning the medicine prize for their discovery of tiny bits of genetic material that serve as on and off switches inside cells that help control what the cells do and when they do it.
READ MORE: Millions brace as storm of the century heads for US

Nobel announcements continue with the chemistry physics prize on Wednesday and literature on Thursday. The Nobel Peace Prize will be announced Friday and the economics award on October 14.

https://www.9news.com.au/world/nobel-prize-in-physics-awarded-to-john-hopfield-and-geoffrey-hinton-for-discoveries-that-enable-machine-learning/ad8ac318-907c-444d-8285-c5fb7fb8724f

A person om Quora likens this to awarding the Nobel Prize for literature to someone who wrote and performed popular songs.

Yeah I don’t like it.

Then again I suppose everything is Physics ultimately.

I hope Trump wins the Peace prize.

Reply Quote

Date: 9/10/2024 13:24:29
From: Witty Rejoinder
ID: 2203128
Subject: re: 2024 Nobel Prizes

The Rev Dodgson said:


Witty Rejoinder said:

NewsWorld
Nobel Prize in physics awarded to two scientists for discoveries that enable machine learning

By Associated Press
9:17pm Oct 8, 2024

John Hopfield and Geoffrey Hinton have been awarded the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning

Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.
“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” the Nobel committee said in a press release.

Ellen Moons, a member of the Nobel committee at the Royal Swedish Academy of Sciences, said the two laureates “used fundamental concepts from statistical physics to design artificial neural networks that function as associative memories and find patterns in large data sets”.
She said that such networks have been used to advance research in physics and “have also become part of our daily lives, for instance in facial recognition and language translation”.

Three scientists won last year’s physics Nobel for providing the first split-second glimpse into the superfast world of spinning electrons, a field that could one day lead to better electronics or disease diagnoses.
The 2023 award went to French-Swedish physicist Anne L’Huillier, French scientist Pierre Agostini and Hungarian-born Ferenc Krausz for their work with the tiny part of each atom that races around the centre and is fundamental to virtually everything: chemistry, physics, our bodies and our gadgets.

Six days of Nobel announcements opened on Monday with Americans Victor Ambros and Gary Ruvkun winning the medicine prize for their discovery of tiny bits of genetic material that serve as on and off switches inside cells that help control what the cells do and when they do it.
READ MORE: Millions brace as storm of the century heads for US

Nobel announcements continue with the chemistry physics prize on Wednesday and literature on Thursday. The Nobel Peace Prize will be announced Friday and the economics award on October 14.

https://www.9news.com.au/world/nobel-prize-in-physics-awarded-to-john-hopfield-and-geoffrey-hinton-for-discoveries-that-enable-machine-learning/ad8ac318-907c-444d-8285-c5fb7fb8724f

A person om Quora likens this to awarding the Nobel Prize for literature to someone who wrote and performed popular songs.

I don’t really understand that analogy?

Reply Quote

Date: 9/10/2024 13:31:44
From: The Rev Dodgson
ID: 2203134
Subject: re: 2024 Nobel Prizes

Witty Rejoinder said:


The Rev Dodgson said:

Witty Rejoinder said:

NewsWorld
Nobel Prize in physics awarded to two scientists for discoveries that enable machine learning

By Associated Press
9:17pm Oct 8, 2024

John Hopfield and Geoffrey Hinton have been awarded the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning

Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.
“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” the Nobel committee said in a press release.

Ellen Moons, a member of the Nobel committee at the Royal Swedish Academy of Sciences, said the two laureates “used fundamental concepts from statistical physics to design artificial neural networks that function as associative memories and find patterns in large data sets”.
She said that such networks have been used to advance research in physics and “have also become part of our daily lives, for instance in facial recognition and language translation”.

Three scientists won last year’s physics Nobel for providing the first split-second glimpse into the superfast world of spinning electrons, a field that could one day lead to better electronics or disease diagnoses.
The 2023 award went to French-Swedish physicist Anne L’Huillier, French scientist Pierre Agostini and Hungarian-born Ferenc Krausz for their work with the tiny part of each atom that races around the centre and is fundamental to virtually everything: chemistry, physics, our bodies and our gadgets.

Six days of Nobel announcements opened on Monday with Americans Victor Ambros and Gary Ruvkun winning the medicine prize for their discovery of tiny bits of genetic material that serve as on and off switches inside cells that help control what the cells do and when they do it.
READ MORE: Millions brace as storm of the century heads for US

Nobel announcements continue with the chemistry physics prize on Wednesday and literature on Thursday. The Nobel Peace Prize will be announced Friday and the economics award on October 14.

https://www.9news.com.au/world/nobel-prize-in-physics-awarded-to-john-hopfield-and-geoffrey-hinton-for-discoveries-that-enable-machine-learning/ad8ac318-907c-444d-8285-c5fb7fb8724f

A person om Quora likens this to awarding the Nobel Prize for literature to someone who wrote and performed popular songs.

I don’t really understand that analogy?

I presume the point was that research in AI is not “physics”, in a similar way to writing popular songs not being “literature”.

Reply Quote

Date: 9/10/2024 13:33:30
From: Witty Rejoinder
ID: 2203135
Subject: re: 2024 Nobel Prizes

The Rev Dodgson said:


Witty Rejoinder said:

The Rev Dodgson said:

A person om Quora likens this to awarding the Nobel Prize for literature to someone who wrote and performed popular songs.

I don’t really understand that analogy?

I presume the point was that research in AI is not “physics”, in a similar way to writing popular songs not being “literature”.

Bob Dylan says no.

Reply Quote

Date: 9/10/2024 13:37:22
From: The Rev Dodgson
ID: 2203137
Subject: re: 2024 Nobel Prizes

Witty Rejoinder said:


The Rev Dodgson said:

Witty Rejoinder said:

I don’t really understand that analogy?

I presume the point was that research in AI is not “physics”, in a similar way to writing popular songs not being “literature”.

Bob Dylan says no.

Well sure, I don’t suppose the two guys who won the physics prize would think much of the analogy either, but it seems fair enough to me.

Reply Quote

Date: 9/10/2024 16:29:53
From: Witty Rejoinder
ID: 2203165
Subject: re: 2024 Nobel Prizes

Gerald Murnane speaks about life, writing ahead of Nobel Prize for Literature announcement
ABC Mildura-Swan Hill / By Emile Pavlich

For one of Australia’s most prolific and talented writers of a generation, the town of Goroke is a modest haunt. But that’s just the way Gerald Murnane likes it.

In his cafe in the sleepy western Victorian town of Goroke, Joe D’Andrea is flipping burgers for the lunchtime crowd.

In between feeding the masses, he helps direct the tourists who come to town in search of Goroke’s most famous resident, 85-year-old writer Gerald Murnane.

“Sometimes, if he’s in the men’s shed, I send them over the road to go and find him,” Mr D’Andrea said.

“I don’t direct anyone to his house. If he’s over the road, well, that’s as far as I direct them.”

A young girl wearing a pink onesie gives a thumbs up. Her dad in the background smiles to the camera. In background is shop

If Murnane is named as the winner of the Nobel Prize in Literature on Thursday evening, as some punters are tipping, then the tiny town of Goroke, population 295, can expect plenty more “Murnanophiles” to come and visit.

Many and varied eccentricities
For a decade, Murnane’s name has been bandied about as a future Nobel Prize in Literature laureate.

An online betting agency has him as the outright second favourite to win this year’s coveted literary prize, ahead of the likes of JK Rowling and Stephen King.

The odds have shortened significantly today.

“It’s unthinkable that anyone should be told they are number one,” Murnane said.

“There’s no such person as the best writer in the world.”
.
Murnane’s novels never appear on bestseller lists. The New York Times Magazine described his works as “essayistic meditations” that dispense “almost entirely with plot and character”.

To his acolytes, his novels such as The Plains, Inland, Barley Patch and A History Of Books are worthy of admiration and devotion, and have seen him win the Patrick White Award, the Prime Minister’s Literary Award, and the Melbourne Prize for Literature, among other awards.

But Murnane is as revered for his eccentricities, and the mythology of sorts that has sprung up around him.

Nobel candidate decides to stop publishing
Gerald Murnane’s career is on the upswing; so why has he decided to keep his writing private?

He prefers not to travel outside Victoria. He has never been on a plane, never voluntarily been into the ocean, has rarely taken holidays and has never listened to the radio or watched television for more than 20 minutes.

But he likes maps and sits a globe near his desk where he writes.

“I nearly faint with astonishment to see how big the world is because Goroke to Melbourne is a fair distance,” he said.

“The world is too big for me in one lifetime to even get to know, so I stuck to Victoria.”

Murnane moved to the border town to live with his son, Giles, following the death of his wife, Catherine, in 2009.

“A writer should live anywhere,” he said.

“Writers don’t have to live in Carlton or Castlemaine.”

Murnane also plays the fiddle for one hour each day and regularly revises the Hungarian language using tens of thousands of cue cards, which he began doing as part of a mission to read Gyula Illyes’ novel People of the Puszta in its original language.

He has three large archives worth of filing cabinets in his lean-to bedroom at his son’s house.

The letters and essays inside are something akin to an objet d’art within literary circles and scholarship.

The archives, named the Chronological, Literary and the Antipodean, will only become public once he, along with his brother and sister, dies.

“It’s just an urge I’ve had all my life to record things,” Murnane said.

“If people are curious, they are welcome to know what I have recorded.

“All my thoughts go into my archives for some ideal reader of the future.”

One of his more imaginative archives concerns an imaginary horse racing network involving two fictitious countries, New Eden and New Arcady.

A man flicks through his pages of letters, essays and manuscripts in a filing cabinet.

The second Australian laureate?
If he wins, Murnane will be the second Australian to be named a Nobel Prize laureate in literature, after Patrick White in 1974.

The process to award laureates is notoriously secretive and low-key. Several nominations are internally discussed from around April and May, which are then debated by the Swedish Academy until October 10, when the winner is announced.

Previous winners have included Bob Dylan, Annie Ernaux, Albert Camus, Pablo Neruda, Doris Lessing, Ernest Hemingway and JM Coetzee.

Murnane’s name has been discussed as a worthy recipient of the prize for a while, as befitting someone the New York Times described as “the greatest living English-language writer most people have never heard of”.

His books have a cult following in Scandinavia, have been translated into numerous languages, and a few of his novels were recently republished in England.

However, his writing was not always recognised within the Australian literary establishment. In the 1990s, following a “nasty” review of his book Landscape with Landscape, he journeyed through some “hard years”.

“In the end, I got used to being thought of as marginal, someone who is not in the mainstream,” Murnane said.

The Nobel Prize in Literature will be announced, at the earliest, 10pm AEST on October 10, and awarded on December 10.

https://amp.abc.net.au/article/104424876

Reply Quote

Date: 9/10/2024 16:35:09
From: roughbarked
ID: 2203166
Subject: re: 2024 Nobel Prizes

Witty Rejoinder said:

Gerald Murnane speaks about life, writing ahead of Nobel Prize for Literature announcement
ABC Mildura-Swan Hill / By Emile Pavlich

For one of Australia’s most prolific and talented writers of a generation, the town of Goroke is a modest haunt. But that’s just the way Gerald Murnane likes it.

In his cafe in the sleepy western Victorian town of Goroke, Joe D’Andrea is flipping burgers for the lunchtime crowd.

In between feeding the masses, he helps direct the tourists who come to town in search of Goroke’s most famous resident, 85-year-old writer Gerald Murnane.

“Sometimes, if he’s in the men’s shed, I send them over the road to go and find him,” Mr D’Andrea said.

“I don’t direct anyone to his house. If he’s over the road, well, that’s as far as I direct them.”

A young girl wearing a pink onesie gives a thumbs up. Her dad in the background smiles to the camera. In background is shop

If Murnane is named as the winner of the Nobel Prize in Literature on Thursday evening, as some punters are tipping, then the tiny town of Goroke, population 295, can expect plenty more “Murnanophiles” to come and visit.

Many and varied eccentricities
For a decade, Murnane’s name has been bandied about as a future Nobel Prize in Literature laureate.

An online betting agency has him as the outright second favourite to win this year’s coveted literary prize, ahead of the likes of JK Rowling and Stephen King.

The odds have shortened significantly today.

“It’s unthinkable that anyone should be told they are number one,” Murnane said.

“There’s no such person as the best writer in the world.”
.
Murnane’s novels never appear on bestseller lists. The New York Times Magazine described his works as “essayistic meditations” that dispense “almost entirely with plot and character”.

To his acolytes, his novels such as The Plains, Inland, Barley Patch and A History Of Books are worthy of admiration and devotion, and have seen him win the Patrick White Award, the Prime Minister’s Literary Award, and the Melbourne Prize for Literature, among other awards.

But Murnane is as revered for his eccentricities, and the mythology of sorts that has sprung up around him.

Nobel candidate decides to stop publishing
Gerald Murnane’s career is on the upswing; so why has he decided to keep his writing private?

He prefers not to travel outside Victoria. He has never been on a plane, never voluntarily been into the ocean, has rarely taken holidays and has never listened to the radio or watched television for more than 20 minutes.

But he likes maps and sits a globe near his desk where he writes.

“I nearly faint with astonishment to see how big the world is because Goroke to Melbourne is a fair distance,” he said.

“The world is too big for me in one lifetime to even get to know, so I stuck to Victoria.”

Murnane moved to the border town to live with his son, Giles, following the death of his wife, Catherine, in 2009.

“A writer should live anywhere,” he said.

“Writers don’t have to live in Carlton or Castlemaine.”

Murnane also plays the fiddle for one hour each day and regularly revises the Hungarian language using tens of thousands of cue cards, which he began doing as part of a mission to read Gyula Illyes’ novel People of the Puszta in its original language.

He has three large archives worth of filing cabinets in his lean-to bedroom at his son’s house.

The letters and essays inside are something akin to an objet d’art within literary circles and scholarship.

The archives, named the Chronological, Literary and the Antipodean, will only become public once he, along with his brother and sister, dies.

“It’s just an urge I’ve had all my life to record things,” Murnane said.

“If people are curious, they are welcome to know what I have recorded.

“All my thoughts go into my archives for some ideal reader of the future.”

One of his more imaginative archives concerns an imaginary horse racing network involving two fictitious countries, New Eden and New Arcady.

A man flicks through his pages of letters, essays and manuscripts in a filing cabinet.

The second Australian laureate?
If he wins, Murnane will be the second Australian to be named a Nobel Prize laureate in literature, after Patrick White in 1974.

The process to award laureates is notoriously secretive and low-key. Several nominations are internally discussed from around April and May, which are then debated by the Swedish Academy until October 10, when the winner is announced.

Previous winners have included Bob Dylan, Annie Ernaux, Albert Camus, Pablo Neruda, Doris Lessing, Ernest Hemingway and JM Coetzee.

Murnane’s name has been discussed as a worthy recipient of the prize for a while, as befitting someone the New York Times described as “the greatest living English-language writer most people have never heard of”.

His books have a cult following in Scandinavia, have been translated into numerous languages, and a few of his novels were recently republished in England.

However, his writing was not always recognised within the Australian literary establishment. In the 1990s, following a “nasty” review of his book Landscape with Landscape, he journeyed through some “hard years”.

“In the end, I got used to being thought of as marginal, someone who is not in the mainstream,” Murnane said.

The Nobel Prize in Literature will be announced, at the earliest, 10pm AEST on October 10, and awarded on December 10.

https://amp.abc.net.au/article/104424876

Have never seen his books yet.

Reply Quote

Date: 9/10/2024 22:17:44
From: SCIENCE
ID: 2203240
Subject: re: 2024 Nobel Prizes

LOL






ah that must be it then

Reply Quote

Date: 9/10/2024 22:19:27
From: Bubblecar
ID: 2203241
Subject: re: 2024 Nobel Prizes

SCIENCE said:

LOL






ah that must be it then

Maybe he’ll give her most of the cash.

Reply Quote

Date: 9/10/2024 22:24:09
From: dv
ID: 2203242
Subject: re: 2024 Nobel Prizes

I mean this isn’t the first time this happened to a Rosalind.

Reply Quote

Date: 9/10/2024 22:28:49
From: SCIENCE
ID: 2203246
Subject: re: 2024 Nobel Prizes

well hey at least they could have waited for the woman to die first to at least have some excuse

Reply Quote

Date: 9/10/2024 22:33:46
From: dv
ID: 2203250
Subject: re: 2024 Nobel Prizes

Yeah but women live longer

Reply Quote

Date: 9/10/2024 22:40:54
From: SCIENCE
ID: 2203254
Subject: re: 2024 Nobel Prizes

Imagine that boys’ club putting their heads together, “oh shit the lads are getting a bit old, any longer and we might miss the sweet spot if one of them keels over before the lady, quick roll out the award now that’s just too bad”.

Reply Quote

Date: 9/10/2024 22:52:21
From: SCIENCE
ID: 2203257
Subject: re: 2024 Nobel Prizes

SCIENCE said:

Imagine that boys’ club putting their heads together, “oh shit the lads are getting a bit old, any longer and we might miss the sweet spot if one of them keels over before the lady, quick roll out the award now that’s just too bad”.

anyway this will probably win an ingot sorry ignobel for their trouble

https://www.nature.com/immersive/d41586-024-02897-2/index.html

Reply Quote

Date: 9/10/2024 22:53:30
From: SCIENCE
ID: 2203258
Subject: re: 2024 Nobel Prizes

Reply Quote

Date: 10/10/2024 08:04:30
From: ruby
ID: 2203303
Subject: re: 2024 Nobel Prizes

SCIENCE said:

SCIENCE said:

Imagine that boys’ club putting their heads together, “oh shit the lads are getting a bit old, any longer and we might miss the sweet spot if one of them keels over before the lady, quick roll out the award now that’s just too bad”.

anyway this will probably win an ingot sorry ignobel for their trouble

https://www.nature.com/immersive/d41586-024-02897-2/index.html


Thanks for posting the link to this SCIENCE.

As the Liberal party would say, this state of affairs is all cool and normal.

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Date: 11/10/2024 08:50:52
From: SCIENCE
ID: 2203682
Subject: re: 2024 Nobel Prizes

Good News¡ Woman nominated for prize doesn’t have to share it with Great Men in her life¡
https://www.abc.net.au/news/2024-10-10/nobel-prize-for-literature-announcement/104458068

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Date: 11/10/2024 20:28:09
From: SCIENCE
ID: 2203986
Subject: re: 2024 Nobel Prizes

SCIENCE said:

Good News¡ Woman nominated for prize doesn’t have to share it with Great Men in her life¡
https://www.abc.net.au/news/2024-10-10/nobel-prize-for-literature-announcement/104458068

Does this mean it’s time to

Japanese anti-nuclear weapons organisation awarded 2024 Nobel Peace Prize

start committing atrocities in the next decade or so¿

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Date: 12/10/2024 19:41:34
From: Witty Rejoinder
ID: 2204235
Subject: re: 2024 Nobel Prizes

When AI looked at biology, the result was astounding
The Nobel Prize in chemistry honored a real-world example of how AI is helping humans.

By the Editorial Board
October 11, 2024 at 5:41 p.m. EDT

One of this year’s Nobel Prize winners in physics, Geoffrey Hinton, who pioneered work on the neural networks that undergird artificial intelligence, has warned that machines might someday get smarter than humans. Perhaps. But this year’s Nobel Prize in chemistry honored a real-world example of how AI is helping humans today with astounding discoveries in protein structure that have far-reaching applications. This is a development worth savoring.

Proteins are biology’s lead actors. As the Nobel committee pointed out, proteins “control and drive all the chemi­cal reactions that together are the basis of life. Proteins also function as hormones, signal substances, antibodies and the building blocks of different tissues.” In the human body, they are necessary for the structure, function and regulation of tissues and organs. All proteins begin with a chain of up to 20 kinds of amino acids, strung together in a sequence encoded in DNA. Each chain folds into a unique structure, and those shapes determine how proteins interact with other molecules.

Looking like a tangled ball of twine, proteins have a complex and precise design of moving parts that are linked to chemical events and bind to other molecules. Antibodies are proteins produced by the immune system that bind to foreign molecules, including those on the surface of an invading virus, such as the spikes on the coronavirus that causes covid-19.

At the end of the 1950s, University of Cambridge researchers John Kendrew and Max Perutz successfully used a method called X-ray crystallography to produce the first 3D models of proteins. In recognition, they were awarded the 1962 Nobel Prize in chemistry. In the ensuing half-century, the quest to document protein structures remained laborious and slow. A single protein structure might take a doctoral student four or five years to figure out. Before AI, the field’s central repository contained some 185,000 experimentally solved protein structures.

This year’s Nobel Prize in chemistry went to three scientists who revolutionized the field. David Baker of the University of Washington built entirely new kinds of proteins. Demis Hassabis and John Jumper of DeepMind, a Britain-based firm that is part of Alphabet, Google’s parent company, developed an AI and machine learning model that can predict the structure of proteins, decoding the amino acids that make up each. The model, AlphaFold, can do in minutes what once took years.

AlphaFold takes advantage of neural networks that can locate patterns in enormous amounts of data. The system was trained on the vast information in the databases of all known protein structures and amino acid sequences. AlphaFold has predicted more than 200 million protein structures, or nearly all catalogued proteins known to science, including those in humans, plants, bacteria, animals and other organisms. The AlphaFold Protein Structure Database makes this data freely available.

To design new drugs and vaccines, scientists need to know how a protein looks or behaves. The AlphaFold result is a prediction — a visual representation of a protein’s expected structure — but such predictions can accelerate biomedical research.

The AlphaFold blog recounts the story of scientists searching for a better vaccine against malaria, a disease that afflicts 250 million people a year and causes more than 600,000 deaths. Because malaria is caused by a shape-shifting parasite, vaccine researchers had long struggled to characterize the structure of one surface protein they needed to target to interrupt the infection. Then AlphaFold’s prediction of the right structure snapped it into focus. Matthew Higgins at the University of Oxford said the breakthrough helped his team decide which bits of the protein to put in the vaccine, which trains the body’s immune system to detect it and act. This helped advance his research from “a fundamental science stage to the preclinical and clinical development stage.”

Anyone who has used ChatGPT knows that AI is not always correct — and the malaria scientists found that some of the 3D visualizations of proteins were inexact. But AI will only get better over time. Already, the AlphaFold effort is expanding to create accurate visualizations of how proteins interact with other biomedical structures, such as nucleic acids.

In the years ahead, AI dangers must be confronted and safeguards considered. Without a doubt, there are risks when powerful technology falls into the hands of malign actors.

But, for now, AlphaFold shows that AI can supercharge existing knowledge to benefit mankind. The Nobel committee noted that, thanks to these advances, “researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic.” And there will be more to come.

https://www.washingtonpost.com/opinions/2024/10/11/nobel-prize-chemistry-proteins-ai-biomedicine/?

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Date: 12/10/2024 19:44:46
From: Bubblecar
ID: 2204237
Subject: re: 2024 Nobel Prizes

>Demis Hassabis and John Jumper of DeepMind, a Britain-based firm that is part of Alphabet, Google’s parent company, developed an AI and machine learning model that can predict the structure of proteins, decoding the amino acids that make up each. The model, AlphaFold, can do in minutes what once took years.

But can it count the Rs in strawberry?

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