China Economy: News & Discussion

helin

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BYD, CATL to launch battery with 6C fast charging this year, report says

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Jiri Opletal

June 13, 2024


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CATL's Shenxing battery at 2024 Beijing Auto Show. Credit: CarNewsChina

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BYD will launch the lithium iron phosphate (LFP) Blade battery 2.0 in the second half of the year, which will support the 6C charge rate, according to local media. CATL plans to launch Qilin Battery 2.0, which also has LFP chemistry, with 6C fast charging by the end of the year.

CATL only launched batteries with 5C charging a few months ago. On February 27, 2024, Zeekr 001 hit the market in China with the CATL’s new Shenxing battery, which supports 5C charging. New Zeekr 001 can be charged from 10 to 80% in 11.5 minutes, adding a 472 km range based on CLTC.
Shenxing is also an LFP battery, and later in April, CATL introduced Shenxing Plus with 205 Wh/kg energy density, enabling EVs range 1000 km. Interestingly, Shenxing Plus only charges 4C.

On March 1, Li Auto launched its first BEV, Li Mega. The futuristic MPV featured a Qilin Battery with 5C charging and can reach a 500 km range in 12 minutes.
READ ALSO
Li Mega showed a 552 kW peak charging capacity thanks to CATL's 5C battery
Li Mega showed a 552 kW peak charging capacity thanks to CATL’s 5C battery

BYD, however, seems quite behind as none of its models support charging above 4C. However, the Shenzhen-based company is already well-equipped technologically, with BYD typically ensuring its technology is production-ready before making any announcements, according to a 36k report.
6C charging explained
C refers to the battery charging multiplier and 6C means “six times the capacity.” For example, if you have a 1000 mAh battery, you can charge it with a 6000 mA current.

If we oversimplify, the charge rate tells us how many times the battery can be fully charged in one hour. In the case of the 6C charge rate, it is six times. So, in theory, you can charge the entire battery in 10 minutes with a 6C charge rate.
Analogically, a 5C battery can be fully charged five times in one hour, so having a full battery would take 12 minutes.
Infrastructure
The charging speed needs to be complemented by sufficient charging infrastructure. Huawei launched its 600 kW ultrafast EV charger in February, and Li Auto plans to plant 5000 supercharging stations supporting 5C by 2025.
However, the Chinese common reality is charging piles with a power of 120 kW. To achieve a 4C or 5C charging multiplier, the power needs to be at least 360 kW.
A 4C supercharging connector can reach a maximum power of 480 kW and a maximum current of 615 A. However, such high-powered charging stations are quite rare, and those capable of supporting a 5C multiplier are even scarcer, 36kr concludes.
As a result, even if a user purchases a vehicle that supports 4C or 5C charging, finding suitable charging facilities to fully utilize these capabilities remains a challenge.


 

rockdog

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It wass my daily life, the company is not far away from where they visited.

 
Last edited:

rockdog

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It has Huawei technology in it,

Americans will not be happy
Yes, the Lidar as hardware and AI and L2 Driverless software inside are Huawei. This is another Avatr SUV.

29.jpg


The brand has three share holders, none of them are USA's favourite:

1. Huawei

2. CATL:

US lawmakers call to add China's CATL, Gotion to import ban list, WSJ reports

3. Chang'an Auto group.
The company is under the umbrella of China South Industries Group, a state-owned arms manufacturer.
 

rockdog

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America is full of articles like this,

Not to be taken seriously

Huge growth of Chip Export!

translation by baidu:

On June 7th, the General Administration of Customs of China released import and export data for May, among which chips became the runner up in export growth after ships in various fields. The export amount of chips in May increased by 28.47% year-on-year. Although the speed of the chip is 57.13% lower than that of ships, it is 17% higher than that of cars. Moreover, from January to May, the amount of chip exports increased by 21.2% year on year, surpassing the 20.1% year-on-year growth rate of popular Crispy fried chicken cars in the same period. This shows that our chips are also starting to make efforts, of course, there are both domestic brands and foreign companies contributing.

The main achievements in exports now include several aspects: firstly, the rise of global AI, which requires the purchase of a large number of power management ICs, IoT chips, display driver ICs, and some simple chips produced in China.

The second is for Chinese electric vehicles to go global and set up factories, and the various assembly sources are still ingredients from the Chinese headquarters. Including battery chips, driver chips, mixed signal, power management, and analog chips. According to an analyst report from UBS, the current market share of Chinese automotive semiconductors is about 10%, but it will grow to 40% in five years. Of course, I think he underestimated it. My opinion is that it will reach 80% because there is too much pressure for car manufacturers to reduce costs now. Replacing expensive European, American, and Japanese car chips with domestically produced ones is an automatic and spontaneous action of each manufacturer. So setting up factories for cars naturally drives the export of chips.

In addition to automobiles, household appliances are currently assembled in many parts of Southeast Asia for export to the United States, in order to avoid the political correctness of Americans not wanting Chinese products.

The third is that there are many demands from foreign countries for Chinese storage chips. The export value of storage chips has rebounded significantly, with an overall year-on-year increase of 53.9% in export value, of which the export of storage chip quantity has surged by 98.7%. Due to the high demand for various low-generation and low capacity storage chips, Chinese manufacturers have quickly responded and achieved excellent results. It can be said that various strangulation measures taken by Americans against Chinese chip factories have been gradually resolved by Chinese manufacturers, and it is estimated that they will be completely eliminated soon.

The national production capacity of chips from January to May has not been reported yet, but the Ministry of Industry and Information Technology reported that the domestic integrated circuit production from January to April was 135.4 billion pieces, a year-on-year increase of 37.2%. This growth rate is still very aggressive.
 

MiG-29SMT

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Ok. just like we taught europe how to count properly and how to make steel and basic biology. Doesnt change the fact that in 2022, China is almost 3x better than USA, the next best nation, at inventing things.
Modern astronomy was also grounded in geometry. The competing celestial models of Ptolemy, Copernicus, Brahe, and Kepler had different implications for angular measurements, so geometric arguments became key to astronomical debates.

The mathematician Regiomontanus showed how basic geometry could be used to determine the distance to celestial bodies. The key idea was that whether you believe the Earth spins around its axis or the heavens around the Earth, the spinning is around the Earth’s center, not its surface, where observers are located. Given this, it turns out that proximate objects appear to move faster across the heavens than distant objects. The diagram below shows how an observer on the edge of a spinning body perceives proximate and distant objects: as the observer spins, the proximate red point appears to move past the distant black point. Tycho Brahe famously used this reasoning to argue that the 1572 supernova and the 1577 comet must be located far beyond the moon because they appeared to move much less than the moon relative to distant stars. This was important for astronomical debates,challenging the Aristotelian view that only the sublunary sphere saw change while the heavens were unchanging.

The beginnings of social mathematics came with the introduction of Arabic algebra into Europe. A significant milestone was the publication in 1202 of Liber Abaci by Leonardo of Pisa, better known as Fibonacci. Drawing on examples from business and everyday life, Liber Abaci introduced Hindu-Arabic numerals and basic algebra, showcasing how these tools could be used to perform standard arithmetic calculations and solve business problems such as the splitting of profits. Fibonacci was not the first to use Arabic numerals in Europe, but he was influential. He also introduced net present values, which turn flows of payments over time into a single value by discounting future incomes based on the interest rate.


In the late fifteenth century, the Habsburg monarchy developed the Hofkammer, or court chamber, model of state finances in which a centralized unit kept track of revenue, expenses, and credit flows. The Hofkammer approach spread across Germany during the sixteenth century, and has been linked to increases in fiscal capacity – that is, how much money a state can raise through taxes or borrowing. The accounting ideals of the Hofkammer can be seen in a 1568 instruction manual which states that the court bookkeeper should ‘set up orderly books with different rubrics and paragraphs and essentially maintain them’.

The lives of individual reformers suggest that innovations in public accounting diffused from the private sector. Thomas Cromwell worked in an Italian banking firm before returning to England to restructure the royal financial administration from a personalized feudal system toward a modern state bureaucracy, the so-called Tudor Revolution in Government. In the Netherlands, the polymath Simon Stevin worked at a merchant firm and published the first table of interest rate calculations before becoming the principal advisor to the stadtholder of the Netherlands, Maurice of Orange. (Stevin was also an accounting theorist who published the first analysis of government accounting in 1607.) In France, Jean-Baptiste Colbert was born into a family of prominent merchants, but entered government and was responsible for reforming the financial administration of France in the late seventeenth century.

Besides innovations in interest rate calculations and private and public accounting, the early modern era also saw developments in financial markets, especially in markets for government debt. Here, Italian city states were important innovators. In times of emergency, funds were raised by the imposition of forced loans on wealthy citizens. Although obligatory, these loans paid an interest and thus became assets for the creditors. A secondary market for these debts developed, making it possible for the creditors to turn their assets into cash even when the principal was not redeemed by the state.

It has been estimated that five percent of Italian debt was traded in a given year during the fifteenth century. The increased sophistication of private financiers and their public counterparts supported financial innovation: Sweden financed its rise to great power status by mortgaging its copper income, and in order to make its debt more attractive, England created the Bank of England as a separate entity with privileges such as note issuance.

Finally, the early modern era witnessed the birth of quantitative social science. After surveying Ireland for Cromwell’s army in the 1650s, the Englishman William Petty championed a new science called ‘political arithmetic’, which sought quantitative precision in matters relating to taxes, expenditure, trade, and monetary issues. Another Englishman, John Graunt, is often regarded as the founder of demography due to his analysis of mortality rates in his work, Natural and Political Observations Made upon the Bills of Mortality. Subsequently, life tables and the new theory of probability were combined to support pricing in the emerging life insurance industry, with the Dutchman Johan de Witt’s The Worth of Life Annuities Compared to Redemption Bonds (1671) considered one of the earliest applications of probability theory to finance. Building on these advances, the eighteenth and nineteenth centuries saw the evolution of modern disciplines such as economics, epidemiology, demography, and actuarial science.

While many of the pioneers of the Industrial Revolution only had a modest formal education, they found ways to acquire basic mathematical skills. Sometimes, the brief education at the village school gave a mathematical training. The spinning mule inventor Samuel Crompton lost his father and had to work as a yarn spinner from an early age, but he went to a school where the teacher ‘had considerable reputation as a teacher, particularly of writing, arithmetic, book-keeping, geometry, mensuration and mathematics’. Evening classes catered to people who had missed out on a formal education. This was how George Stephenson, ‘the father of railways’, learned writing and arithmetic by the age of 18. A burgeoning textbook market also made self-education possible – this was the route of the famous clockmaker John Harrison.
The lives of the pioneers provide further evidence of a mathematical outlook. Joseph Bramah (1748–1814) was a locksmith who contributed to early precision manufacturing. He left school at the age of 12 to work on his father’s farm and was later apprenticed as a carpenter. But this mathematical outlook is clear from the Rudimentary Treatise on the Construction of Locks. The book explains how Bramah’s locks became essentially unbreakable through what mathematicians nowadays call combinatorial explosion: the fact that even a small number of objects can be ordered in an extraordinary number of ways. Bramah notes that even if a lock only has 12 moving parts with 12 distinct positions, ‘the ultimate number of changes that may be made in their place or situation is 479,001,600; and by adding one more to that number of slides, they would then be capable of receiving a number of changes equal to 6,227,020,800; and so on progressively, by the addition of others in like manner to infinity’.
Another example is Bramah’s most famous disciple Henry Maudslay, the founding father of machine tools production. Maudslay also started working at the age of 12, but had a mathematical outlook: he was famous for his relentless focus on precise measurement, invented a new type of slide rule, and in his personal life applied a system where he ranked individuals on a degree scale ranging from 0 to 100. Evidently, a quantitative worldview did not require college-level calculus.
Calculating today
Our narrative shows how the rise of the modern world is linked to the spread of the calculating paradigm.
After the paradigm’s introduction to Europe from the Arab-speaking countries in the thirteenth century, it was initially limited to a few universities and Italian merchant towns. However, the paradigm found fertile ground and gradually diffused across space, supported by the printing press and by new forms of educational institutions. It also diffused across social classes, moving from its origin among merchants and university professors to encompass administrators, craftspeople, small business owners, and seafarers. By the late eighteenth century, the paradigm had even reached Samuel Crompton’s modest village school in Bolton, in the north of England.
In the wake of the paradigm’s diffusion, we see innovations in painting, cartography, astronomy, navigation, physics, statecraft, finance, and accounting throughout the early modern era. But there was one key holdout: the process of production, which long eluded mathematicians as they failed to bridge the gap between theory and practice. Here, the breakthrough came in eighteenth-century England as a new class of engineers and instrument makers combined basic mathematical skills with the craftsmanship needed to make mathematical ideas workable.
Our story concludes in 1800, when the paradigm finally reached the process of production. Over the next 200 years, that paradigm has continued to spread, reaching more people and touching more domains. Since the advent of universal schooling, we have come to expect that all children should know how to calculate with Hindu-Arabic numerals. Tellingly, we use the term ‘basic arithmetic’ for a skill that until relatively recently was confined to specialized experts, and was not widely taught outside of a few northern Italian towns.
The last 200 years have seen the influence of mathematics deepen across almost all domains of human activity, amply supported by torrents of data and dramatic increases in computing power. Now we use math to model nuclear wars, pick players for baseball teams, track changes in literature, and forecast presidential elections. Sometimes, it seems the paradigm has reached its limits; that every field that can benefit from math has been introduced to it. But we may now be nearing the computational paradigm’s greatest success of all: modeling intelligence through math using large language models. In that sense, the computational paradigm may be reaching its logical conclusion: turning us all into math.
Zero: An Innovation from the Ancient Mayans
Introduction

In the vast expanse of human history, numerous civilizations have emerged, each contributing in its own unique way to the tapestry of humanity's progress. One such civilization, the ancient Mayans, stood out not just for their intricate architecture or their profound understanding of astronomy, but also for their exceptional contributions to the field of mathematics. Among these contributions, one is particularly striking - their concept of zero. This was a mathematical innovation far ahead of its time, and its impact continues to reverberate in our modern numerical systems.
 

MiG-29SMT

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Yes, the Lidar as hardware and AI and L2 Driverless software inside are Huawei. This is another Avatr SUV.

View attachment 257942

The brand has three share holders, none of them are USA's favourite:

1. Huawei

2. CATL:

US lawmakers call to add China's CATL, Gotion to import ban list, WSJ reports

3. Chang'an Auto group.
The company is under the umbrella of China South Industries Group, a state-owned arms manufacturer.
Embraer tested an autonomous aircraft in Brazil, a Legacy 500 jet that can taxi on its own and travel along the airport runway without human interference. The project has the participation of the Federal University of Espírito Santo, which has been carrying out research on autonomous cars for more than ten years.
1718338166333.png


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1718338252077.png


 

MiG-29SMT

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Yes, the Lidar as hardware and AI and L2 Driverless software inside are Huawei. This is another Avatr SUV.

View attachment 257942

The brand has three share holders, none of them are USA's favourite:

1. Huawei

2. CATL:

US lawmakers call to add China's CATL, Gotion to import ban list, WSJ reports

3. Chang'an Auto group.
The company is under the umbrella of China South Industries Group, a state-owned arms manufacturer.
Hitech Electric launched Brazil's first electric and autonomous car, which can be "controlled" remotely via cell phone. Named e.coTech 4 Autonomous, the vehicle was developed in partnership with Positivo and the startup Lume Robotics, born in the High Performance Computing Laboratory of the Federal University of Espírito do Santo (UFES). TecMundo went to check out this news!
Feb 1, 2020
1718339152182.png


1718339189673.png


1718339216400.png

1718339247953.png

1718339280524.png


 

rockdog

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Joined
Dec 29, 2010
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Hitech Electric launched Brazil's first electric and autonomous car, which can be "controlled" remotely via cell phone. Named e.coTech 4 Autonomous, the vehicle was developed in partnership with Positivo and the startup Lume Robotics, born in the High Performance Computing Laboratory of the Federal University of Espírito do Santo (UFES). TecMundo went to check out this news!
Feb 1, 2020
View attachment 257948

View attachment 257949

View attachment 257950
View attachment 257951
View attachment 257952

Chinese BEVs accounted for 92 percent of Brazil's total BEV imports in this period. This trend has continued durably thus far. As of April 2024, Brazil has surpassed Belgium as the top export market for China's EVs.Jun 4, 2024

Brazil surpasses Belgium as top export market for Chinese EVs, hybrids, data shows

 

GaudaNaresh

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Modern astronomy was also grounded in geometry. The competing celestial models of Ptolemy, Copernicus, Brahe, and Kepler had different implications for angular measurements, so geometric arguments became key to astronomical debates.

The mathematician Regiomontanus showed how basic geometry could be used to determine the distance to celestial bodies. The key idea was that whether you believe the Earth spins around its axis or the heavens around the Earth, the spinning is around the Earth’s center, not its surface, where observers are located. Given this, it turns out that proximate objects appear to move faster across the heavens than distant objects. The diagram below shows how an observer on the edge of a spinning body perceives proximate and distant objects: as the observer spins, the proximate red point appears to move past the distant black point. Tycho Brahe famously used this reasoning to argue that the 1572 supernova and the 1577 comet must be located far beyond the moon because they appeared to move much less than the moon relative to distant stars. This was important for astronomical debates,challenging the Aristotelian view that only the sublunary sphere saw change while the heavens were unchanging.

The beginnings of social mathematics came with the introduction of Arabic algebra into Europe. A significant milestone was the publication in 1202 of Liber Abaci by Leonardo of Pisa, better known as Fibonacci. Drawing on examples from business and everyday life, Liber Abaci introduced Hindu-Arabic numerals and basic algebra, showcasing how these tools could be used to perform standard arithmetic calculations and solve business problems such as the splitting of profits. Fibonacci was not the first to use Arabic numerals in Europe, but he was influential. He also introduced net present values, which turn flows of payments over time into a single value by discounting future incomes based on the interest rate.


In the late fifteenth century, the Habsburg monarchy developed the Hofkammer, or court chamber, model of state finances in which a centralized unit kept track of revenue, expenses, and credit flows. The Hofkammer approach spread across Germany during the sixteenth century, and has been linked to increases in fiscal capacity – that is, how much money a state can raise through taxes or borrowing. The accounting ideals of the Hofkammer can be seen in a 1568 instruction manual which states that the court bookkeeper should ‘set up orderly books with different rubrics and paragraphs and essentially maintain them’.

The lives of individual reformers suggest that innovations in public accounting diffused from the private sector. Thomas Cromwell worked in an Italian banking firm before returning to England to restructure the royal financial administration from a personalized feudal system toward a modern state bureaucracy, the so-called Tudor Revolution in Government. In the Netherlands, the polymath Simon Stevin worked at a merchant firm and published the first table of interest rate calculations before becoming the principal advisor to the stadtholder of the Netherlands, Maurice of Orange. (Stevin was also an accounting theorist who published the first analysis of government accounting in 1607.) In France, Jean-Baptiste Colbert was born into a family of prominent merchants, but entered government and was responsible for reforming the financial administration of France in the late seventeenth century.

Besides innovations in interest rate calculations and private and public accounting, the early modern era also saw developments in financial markets, especially in markets for government debt. Here, Italian city states were important innovators. In times of emergency, funds were raised by the imposition of forced loans on wealthy citizens. Although obligatory, these loans paid an interest and thus became assets for the creditors. A secondary market for these debts developed, making it possible for the creditors to turn their assets into cash even when the principal was not redeemed by the state.

It has been estimated that five percent of Italian debt was traded in a given year during the fifteenth century. The increased sophistication of private financiers and their public counterparts supported financial innovation: Sweden financed its rise to great power status by mortgaging its copper income, and in order to make its debt more attractive, England created the Bank of England as a separate entity with privileges such as note issuance.

Finally, the early modern era witnessed the birth of quantitative social science. After surveying Ireland for Cromwell’s army in the 1650s, the Englishman William Petty championed a new science called ‘political arithmetic’, which sought quantitative precision in matters relating to taxes, expenditure, trade, and monetary issues. Another Englishman, John Graunt, is often regarded as the founder of demography due to his analysis of mortality rates in his work, Natural and Political Observations Made upon the Bills of Mortality. Subsequently, life tables and the new theory of probability were combined to support pricing in the emerging life insurance industry, with the Dutchman Johan de Witt’s The Worth of Life Annuities Compared to Redemption Bonds (1671) considered one of the earliest applications of probability theory to finance. Building on these advances, the eighteenth and nineteenth centuries saw the evolution of modern disciplines such as economics, epidemiology, demography, and actuarial science.

While many of the pioneers of the Industrial Revolution only had a modest formal education, they found ways to acquire basic mathematical skills. Sometimes, the brief education at the village school gave a mathematical training. The spinning mule inventor Samuel Crompton lost his father and had to work as a yarn spinner from an early age, but he went to a school where the teacher ‘had considerable reputation as a teacher, particularly of writing, arithmetic, book-keeping, geometry, mensuration and mathematics’. Evening classes catered to people who had missed out on a formal education. This was how George Stephenson, ‘the father of railways’, learned writing and arithmetic by the age of 18. A burgeoning textbook market also made self-education possible – this was the route of the famous clockmaker John Harrison.
The lives of the pioneers provide further evidence of a mathematical outlook. Joseph Bramah (1748–1814) was a locksmith who contributed to early precision manufacturing. He left school at the age of 12 to work on his father’s farm and was later apprenticed as a carpenter. But this mathematical outlook is clear from the Rudimentary Treatise on the Construction of Locks. The book explains how Bramah’s locks became essentially unbreakable through what mathematicians nowadays call combinatorial explosion: the fact that even a small number of objects can be ordered in an extraordinary number of ways. Bramah notes that even if a lock only has 12 moving parts with 12 distinct positions, ‘the ultimate number of changes that may be made in their place or situation is 479,001,600; and by adding one more to that number of slides, they would then be capable of receiving a number of changes equal to 6,227,020,800; and so on progressively, by the addition of others in like manner to infinity’.
Another example is Bramah’s most famous disciple Henry Maudslay, the founding father of machine tools production. Maudslay also started working at the age of 12, but had a mathematical outlook: he was famous for his relentless focus on precise measurement, invented a new type of slide rule, and in his personal life applied a system where he ranked individuals on a degree scale ranging from 0 to 100. Evidently, a quantitative worldview did not require college-level calculus.
Calculating today
Our narrative shows how the rise of the modern world is linked to the spread of the calculating paradigm.
After the paradigm’s introduction to Europe from the Arab-speaking countries in the thirteenth century, it was initially limited to a few universities and Italian merchant towns. However, the paradigm found fertile ground and gradually diffused across space, supported by the printing press and by new forms of educational institutions. It also diffused across social classes, moving from its origin among merchants and university professors to encompass administrators, craftspeople, small business owners, and seafarers. By the late eighteenth century, the paradigm had even reached Samuel Crompton’s modest village school in Bolton, in the north of England.
In the wake of the paradigm’s diffusion, we see innovations in painting, cartography, astronomy, navigation, physics, statecraft, finance, and accounting throughout the early modern era. But there was one key holdout: the process of production, which long eluded mathematicians as they failed to bridge the gap between theory and practice. Here, the breakthrough came in eighteenth-century England as a new class of engineers and instrument makers combined basic mathematical skills with the craftsmanship needed to make mathematical ideas workable.
Our story concludes in 1800, when the paradigm finally reached the process of production. Over the next 200 years, that paradigm has continued to spread, reaching more people and touching more domains. Since the advent of universal schooling, we have come to expect that all children should know how to calculate with Hindu-Arabic numerals. Tellingly, we use the term ‘basic arithmetic’ for a skill that until relatively recently was confined to specialized experts, and was not widely taught outside of a few northern Italian towns.
The last 200 years have seen the influence of mathematics deepen across almost all domains of human activity, amply supported by torrents of data and dramatic increases in computing power. Now we use math to model nuclear wars, pick players for baseball teams, track changes in literature, and forecast presidential elections. Sometimes, it seems the paradigm has reached its limits; that every field that can benefit from math has been introduced to it. But we may now be nearing the computational paradigm’s greatest success of all: modeling intelligence through math using large language models. In that sense, the computational paradigm may be reaching its logical conclusion: turning us all into math.
Zero: An Innovation from the Ancient Mayans
Introduction

In the vast expanse of human history, numerous civilizations have emerged, each contributing in its own unique way to the tapestry of humanity's progress. One such civilization, the ancient Mayans, stood out not just for their intricate architecture or their profound understanding of astronomy, but also for their exceptional contributions to the field of mathematics. Among these contributions, one is particularly striking - their concept of zero. This was a mathematical innovation far ahead of its time, and its impact continues to reverberate in our modern numerical systems.

You learnt zero from us Indians. Which we invented before the Mayans. You also learnt decimal system from us Indians. You also learnt the repeater base 10 math from us Indians.
We also taught you scientific theory. Which finds first mention in hindu texts. Modern astronomy comes from Aryabhatta, not Galeleo or Brahe.

We also invented calculus, which you euros stole from us.

So what goes around, comes around.

None of this will change the fact that as of the latest data, China is the most innovative nation on the planet and India does more inventing than Germany.

Cope.

 

MiG-29SMT

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Chinese BEVs accounted for 92 percent of Brazil's total BEV imports in this period. This trend has continued durably thus far. As of April 2024, Brazil has surpassed Belgium as the top export market for China's EVs.Jun 4, 2024

Brazil surpasses Belgium as top export market for Chinese EVs, hybrids, data shows

Automóveis e comerciais leves mais vendidos — abril/2024

ModeloUnidades vendidas
1°) Volkswagen Polo12.434
2°) Fiat Strada11.497
3°) Chevrolet Onix9.087
4°) Fiat Argo8.599
5°) Hyundai HB208.194
6°) Chevrolet Onix Plus7.049
7°) Volkswagen T-Cross6.224
8°) Toyota Hilux5.707
9°) Chevrolet Tracker5.670
10°) Fiat Mobi5.420
11°) Volkswagen Saveiro5.373
12°) Hyundai Creta5.335
13°) Volkswagen Nivus5.259
14°) Renault Kwid5.062
15°) Nissan Kicks4.582
16°) Jeep Renegade4.382
17°) Honda HR-V4.285
18°) Jeep Compass3.914
19°) Fiat Toro3.896
20°) Fiat Fastback3.885
21°) Toyota Corolla Cross3.754
22°) Fiat Pulse3.539
23°) Fiat Cronos3.403
24°) BYD Dolphin Mini3.143
25°) Toyota Corolla3.110
26°) Caoa Chery Tiggo 73.026
27°) Caoa Chery Tiggo 5X2.731
28°) Chevrolet Montana2.534
29°) Chevrolet S102.473
30°) Volkswagen Virtus2.456
31°) Ford Ranger2.382
32°) Chevrolet Spin2.321
33°) Toyota Yaris2.227
34°) Renault Duster2.070
35°) Hyundai HB20S2.065
36°) Ram Rampage1.756
37°) BYD Song Plus1.699
38°) Toyota Yaris Sedan1.670
39°) BYD Dolphin1.619
40°) Renault Kardian1.581
41°) Citroën C31.537
42°) Peugeot 2081.472
43°) Fiat Fiorino1.454
44°) Mitsubishi L2001.257
45°) GWM Haval H61.202
46°) Citroën C3 Aircross1.120
47°) Renault Oroch1.120
48°) Nissan Frontier1.119
49°) Jeep Commander1.096
50°) Honda CIty1.004
The jump in exports to Brazil also comes ahead of a planned increase in tariffs on EVs and hybrid vehicle imports from July.

Brazil had reduced import taxes on electric vehicles to zero since 2015. But President Luiz Inacio Lula da Silva is restoring them this year to encourage development of the domestic auto industry.

Importation of 100% electric vehicles (EV) became subject to a 10% tax in January, which will increase to 18% in July and eventually reach 35% in July 2026.


Moral of the story Em um breve debate sobre a eletrificação dos carros no Brasil, o ex-ministro Roberto Rodrigues explicou alguns pontos negativos do automóvel elétrico e ainda ressaltou a qualidade do etanol como um dos combustíveis mais sustentáveis para o planeta.



“We don’t need an electric car, ethanol is better”, says Rodrigues I STRAIGHT TO THE POINT

BRUSSELS, June 12 (Reuters) - The European Commission said it will impose extra duties of up to 38.1% on imported Chinese electric cars from July, risking retaliation from Beijing which said on Wednesday it would take measures to safeguard its interests.

 
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SexyChineseLady

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Expanding COMAC! Beginning with Saudi Arabia, there is now outreach for the possibility of partnership in the manufacturing and supply chains of COMAC!
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ARJ-21 now flies internationally to Central Asia!

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helin

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Science and technology | Red moon risen
China has become a scientific superpower
From plant biology to superconductor physics the country is at the cutting edge

The 500-meter Aperture Spherical Telescope (FAST) in Pingtang County, southwest China's Guizhou Province.
Photograph: Liu Xu/Polaris/eyevine
Jun 12th 2024|London and Beijing
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In the atrium of a research building at the Chinese Academy of Sciences (CAS) in Beijing is a wall of patents. Around five metres wide and two storeys high, the wall displays 192 certificates, positioned in neat rows and tastefully lit from behind. At ground level, behind a velvet rope, an array of glass jars contain the innovations that the patents protect: seeds.
CAS—the world’s largest research organisation—and institutions around China produce a huge amount of research into the biology of food crops. In the past few years Chinese scientists have discovered a gene that, when removed, boosts the length and weight of wheat grains, another that improves the ability of crops like sorghum and millet to grow in salty soils and one that can increase the yield of maize by around 10%. In autumn last year, farmers in Guizhou completed the second harvest of genetically modified giant rice that was developed by scientists at CAS.
The Chinese Communist Party (CCP) has made agricultural research—which it sees as key to ensuring the country’s food security—a priority for scientists. Over the past decade the quality and the quantity of crop research that China produces has grown immensely, and now the country is widely regarded as a leader in the field. According to an editor of a prestigious European plant-sciences journal, there are some months when half of the submissions can come from China.
A journey of a thousand miles
The rise of plant-science research is not unique in China. In 2019 The Economist surveyed the research landscape in the country and asked whether China could one day become a scientific superpower. Today, that question has been unequivocally answered: “yes”. Chinese scientists recently gained the edge in two closely watched measures of high-quality science, and the country’s growth in top-notch research shows no sign of slowing. The old science world order, dominated by America, Europe and Japan, is coming to an end.
Chart: The Economist
One way to measure the quality of a country’s scientific research is to tally the number of high-impact papers produced each year—that is, publications that are cited most often by other scientists in their own, later work. In 2003 America produced 20 times more of these high-impact papers than China, according to data from Clarivate, a science analytics company (see chart 1). By 2013 America produced about four times the number of top papers and, in the most recent release of data, which examines papers from 2022, China had surpassed both America and the entire European Union (EU).
Metrics based on citations can be gamed, of course. Scientists can, and do, find ways to boost the number of times their paper is mentioned in other studies, and a recent working paper, by Qui Shumin, Claudia Steinwender and Pierre Azoulay, three economists, argues that Chinese researchers cite their compatriots far more than Western researchers do theirs. But China now leads the world on other benchmarks that are less prone to being gamed. It tops the Nature Index, created by the publisher of the same name, which counts the contributions to articles that appear in a set of prestigious journals. To be selected for publication, papers must be approved by a panel of peer reviewers who assess the study’s quality, novelty and potential for impact. When the index was first launched, in 2014, China came second, but its contribution to eligible papers was less than a third of America’s. By 2023 China had reached the top spot.
According to the Leiden Ranking of the volume of scientific research output, there are now six Chinese universities or institutions in the world top ten, and seven according to the Nature Index. They may not be household names in the West yet, but get used to hearing about Shanghai Jiao Tong, Zhejiang and Peking (Beida) Universities in the same breath as Cambridge, Harvard and ETH Zurich. “Tsinghua is now the number one science and technology university in the world,” says Simon Marginson, a professor of higher education at Oxford University. “That’s amazing. They’ve done that in a generation.”
Chart: The Economist
Today China leads the world in the physical sciences, chemistry and Earth and environmental sciences, according to both the Nature Index and citation measures (see chart 2). But America and Europe still have substantial leads in both general biology and medical sciences. “Engineering is the ultimate Chinese discipline in the modern period,” says Professor Marginson, “I think that’s partly about military technology and partly because that’s what you need to develop a nation.”
Applied research is a Chinese strength. The country dominates publications on perovskite solar panels, for example, which offer the possibility of being far more efficient than conventional silicon cells at converting sunlight into electricity. Chinese chemists have developed a new way to extract hydrogen from seawater using a specialised membrane to separate out pure water, which can then be split by electrolysis. In May 2023 it was announced that the scientists, in collaboration with a state-owned Chinese energy company, had developed a pilot floating hydrogen farm off the country’s south-eastern coast.
China also now produces more patents than any other country, although many are for incremental tweaks to designs, as opposed to truly original inventions. New developments tend to spread and be adopted more slowly in China than in the West. But its strong industrial base, combined with cheap energy, means that it can quickly spin up large-scale production of physical innovations like materials. “That’s where China really has an advantage on Western countries,” says Jonathan Bean, CEO of Materials Nexus, a British firm that uses AI to discover new materials.
The country is also signalling its scientific prowess in more conspicuous ways. Earlier this month, China’s Chang’e-6 robotic spacecraft touched down in a gigantic crater on the far side of the Moon, scooped up some samples of rock, planted a Chinese flag and set off back towards Earth. If it successfully returns to Earth at the end of the month, it will be the first mission to bring back samples from this hard-to-reach side of the Moon.
First, sharpen your tools
The reshaping of Chinese science has been achieved by focusing on three areas: money, equipment and people. In real terms, China’s spending on research and development (R&D) has grown 16-fold since 2000. According to the most recent data from the OECD, from 2021, China still lagged behind America on overall R&D spending, dishing out $668bn, compared with $806bn for America at purchasing-power parity. But in terms of spending by universities and government institutions only, China has nudged ahead. In these places America still spends around 50% more on basic research, accounting for costs, but China is splashing the cash on applied research and experimental development (see chart 3).
Chart: The Economist
Money is meticulously directed into strategic areas. In 2006 the CCP published its vision for how science should develop over the next 15 years. Blueprints for science have since been included in the CCP’s five-year development plans. The current plan, published in 2021, aims to boost research in quantum technologies, AI, semiconductors, neuroscience, genetics and biotechnology, regenerative medicine, and exploration of “frontier areas” like deep space, deep oceans and Earth’s poles.
Creating world-class universities and government institutions has also been a part of China’s scientific development plan. Initiatives like “Project 211”, the “985 programme” and the “China Nine League” gave money to selected labs to develop their research capabilities. Universities paid staff bonuses—estimated at an average of $44,000 each, and up to a whopping $165,000—if they published in high-impact international journals.
Building the workforce has been a priority. Between 2000 and 2019, more than 6m Chinese students left the country to study abroad, according to China’s education ministry. In recent years they have flooded back, bringing their newly acquired skills and knowledge with them. Data from the OECD suggest that, since the late 2000s, more scientists have been returning to the country than leaving. China now employs more researchers than both America and the entire EU.
Many of China’s returning scientists, often referred to as “sea turtles” (a play on the Chinese homonym haigui, meaning “to return from abroad”) have been drawn home by incentives. One such programme launched in 2010, the “Youth Thousand Talents”, offered researchers under 40 one-off bonuses of up to 500,000 yuan (equivalent to roughly $150,000 at purchasing-power parity) and grants of up to 3m yuan to get labs up and running back home. And it worked. A study published in Science last year found that the scheme brought back high-calibre young researchers—they were, on average, in the most productive 15% of their peers (although the real superstar class tended to turn down offers). Within a few years, thanks to access to more resources and academic manpower, these returnees were lead scientists on 2.5 times more papers than equivalent researchers who had remained in America.
As well as pull, there has been a degree of push. Chinese scientists working abroad have been subject to increased suspicion in recent years. In 2018 America launched the China Initiative, a largely unsuccessful attempt to root out Chinese spies from industry and academia. There have also been reports of students being deported because of their association with China’s “military-civilian fusion strategy”. A recent survey of current and former Chinese students studying in America found that the share who had experienced racial abuse or discrimination was rising.
The availability of scientists in China means that, for example in quantum computing, some of the country’s academic labs are more like commercial labs in the West, in terms of scale. “They have research teams of 20, 30, even 40 people working on the same experiments, and they make really good progress,” says Christian Andersen, a quantum researcher at Delft University. In 2023 researchers working in China broke the record for the number of quantum bits, or qubits, entangled inside a quantum computer.
China has also splurged on scientific kit. In 2019, when The Economist last surveyed the state of the country’s scientific research, it already had an enviable inventory of flashy hardware including supercomputers, the world’s largest filled-aperture radio telescope and an underground dark-matter detector. The list has only grown since then. The country is now home to the world’s most sensitive ultra-high-energy cosmic-ray detector (which has recently been used to test aspects of Albert Einstein’s special theory of relativity), the world’s strongest steady-state magnetic field (which can probe the properties of materials) and soon will have one of the world’s most sensitive neutrino detectors (which will be used to work out which type of these fundamental subatomic particles has the highest mass). Europe and America have plenty of cool kit of their own, but China is rapidly adding hardware.
Individual labs in China’s top institutions are also well equipped. Niko McCarty, a journalist and former researcher at the Massachusetts Institute of Technology who was recently given a tour of synthetic biology labs in China, was struck by how, in academic institutions, “the machines are just more impressive and more expansive” than in America. At the Advanced Biofoundry at the Shenzhen Institute of Advanced Technology, which the country hopes will be the centre of China’s answer to Silicon Valley, Mr McCarty described an “amazing building with four floors of robots”. As Chinese universities fill with state-of-the-art equipment and elite researchers, and salaries become increasingly competitive, Western institutions look less appealing to young and ambitious Chinese scientists. “Students in China don’t think about America as some “scientific Mecca” in the same way their advisers might have done,” said Mr McCarty.
Students visit Handan Artificial Intelligence Education Base during the science and technology week in Handan City, north China's Hebei Province.
All the flowers of all the tomorrowsPhotograph: Alamy
Take AI, for example. In 2019 just 34% of Chinese students working in the field stayed in the country for graduate school or work. By 2022 that number was 58%, according to data from the AI talent tracker by MacroPolo, an American think-tank (in America the figure for 2022 was around 98%). China now contributes to around 40% of the world’s research papers on AI, compared with around 10% for America and 15% for the EU and Britain combined. One of the most highly cited research papers of all time, demonstrating how deep neural networks could be trained on image recognition, was written by AI researchers working in China, albeit for Microsoft, an American company. “China’s AI research is world-class,” said Zachary Arnold, an AI analyst at the Georgetown Centre for Emerging Security and Technology. “In areas like computer vision and robotics, they have a significant lead.”
Growth in the quality and quantity of Chinese science looks unlikely to stop anytime soon. Spending on science and technology research is still increasing—the government has announced a 10% increase in funding in 2024. And the country is training an enormous number of young scientists. In 2020 Chinese universities awarded 1.4m engineering degrees, seven times more than America did. China has now educated, at undergraduate level, 2.5 times more of the top-tier AI researchers than America has. And by 2025, Chinese universities are expected to produce nearly twice as many PhD graduates in science and technology as America.
To see further, ascend another floor
Although China is producing more top-tier work, it still produces a vast amount of lower-quality science too. On average, papers from China tend to have lower impact, as measured by citations, than those from America, Britain or the EU. And while the chosen few universities have advanced, mid-level universities have been left behind. China’s second-tier institutions still produce work that is of relatively poor quality compared with their equivalents in Europe or America. “While China has fantastic quality at the top level, it’s on a weak base,” explains Caroline Wagner, professor of science policy at Ohio State University.
When it comes to basic, curiosity-driven research (rather than applied) China is still playing catch-up—the country publishes far fewer papers than America in the two most prestigious science journals, Nature and Science. This may partly explain why China seems to punch below its weight in the discovery of completely new technologies. Basic research is particularly scant within Chinese companies, creating a gap between the scientists making discoveries and the industries that could end up using them. “For more original innovation, that might be a minus,” says Xu Xixiang, chief scientist at LONGi Green Energy Technology, a Chinese solar company.
Incentives to publish papers have created a market for fake scientific publications. A study published earlier this year in the journal Research Ethics, featured anonymous interviews from Chinese academics, one of whom said he had “no choice but to commit [research] misconduct”, to keep up with pressures to publish and retain his job. “Citation cartels” have emerged, where groups of researchers band together to write low-quality papers that cite each other’s work in an effort to drive up their metrics. In 2020 China’s science agencies announced that such cash-for-publication schemes should end and, in 2021, the country announced a nationwide review of research misconduct. That has led to improvements—the rate at which Chinese researchers cite themselves, for example, is falling, according to research published in 2023. And China’s middle-ranking universities are slowly catching up with their Western equivalents, too.
The areas where America and Europe still hold the lead are, therefore, unlikely to be safe for long. Biological and health sciences rely more heavily on deep subject-specific knowledge and have historically been harder for China to “bring back and accelerate”, says Tim Dafforn, a professor of biotechnology at University of Birmingham and former adviser to Britain’s department for business. But China’s profile is growing in these fields. Although America currently produces roughly four times more highly influential papers in clinical medicine, in many areas China is producing the most papers that cite this core research, a sign of developing interest that presages future expansion. “On the biology side, China is growing remarkably quickly,” says Jonathan Adams, chief scientist at the Institute for Scientific Information at Clarivate. “Its ability to switch focus into a new area is quite remarkable.”
The rise of Chinese science is a double-edged sword for Western governments. China’s science system is inextricably linked with its state and armed forces—many Chinese universities have labs explicitly working on defence and several have been accused of engaging in espionage or cyber-attacks. China has also been accused of intellectual-property theft and increasingly stringent regulations have made it more difficult for international collaborators to take data out of the country; notoriously, in 2019, the country cut off access to American-funded work on coronaviruses at the Wuhan Institute of Virology. There are also cases of Chinese researchers failing to adhere to the ethical standards expected by Western scientists.
Despite the concerns, Chinese collaborations are common for Western researchers. Roughly a third of papers on telecommunications by American authors involve Chinese collaborators. In imaging science, remote sensing, applied chemistry and geological engineering, the figures are between 25% and 30%. In Europe the numbers are lower, around 10%, but still significant. These partnerships are beneficial for both countries. China tends to collaborate more in areas where it is already strong like materials and physics. A preprint study, released last year, found that for AI research, having a co-author from America or China was equally beneficial to authors from the other country, conferring on average 75% more citations.
Several notable successes have come from working together, too. During the covid-19 pandemic a joint venture between Oxford University’s Engineering Department and the Oxford Suzhou Centre for Advanced Research developed a rapid covid test that was used across British airports. In 2015 researchers at University of Cardiff and South China Agricultural University identified a gene that made bacteria resistant to the antibiotic colistin. Following this, China, the biggest consumer of the drug, banned its use in animal feed, and levels of colistin resistance in both animals and humans declined.
In America and Europe, political pressure is limiting collaborations with China. In March, America’s Science and Technology Agreement with China, which states that scientists from both countries can collaborate on topics of mutual benefit, was quietly renewed for a further six months. Although Beijing appears keen to renew the 45-year-old agreement, many Republicans fear that collaboration with China is helping the country achieve its national-security goals. In Europe, with the exception of environmental and climate projects, Chinese universities have been effectively barred from accessing funding through the Horizon programme, a huge European research initiative.
There are also concerns among scientists that China is turning inwards. The country has explicit aims to become self-reliant in many areas of science and technology and also shift away from international publications as a way of measuring research output. Many researchers cannot talk to the press—finding sources in China for this story was challenging. One Chinese plant scientist, who asked to remain anonymous, said that she had to seek permission a year in advance to attend overseas conferences. “It’s contradictory—on the one hand, they set restrictions so that scientists don’t have freedoms like being able to go abroad to communicate with their colleagues. But on the other hand, they don’t want China to fall behind.”
Live until old, learn until old
The overwhelming opinion of scientists in China and the West is that collaboration must continue or, better, increase. And there is room to do more. Though China’s science output has grown dramatically, the share that is conducted with international collaborators has remained stable at around 20%—Western scientists tend to have far more international collaborations. Western researchers could pay more attention to the newest science from China, too. Data from a study published last year in Nature Human Behaviour showed that, for work of equivalent quality, Chinese scientists cite Western papers far more than vice versa. Western scientists rarely visit, work or study in China, depriving them of opportunities to learn from Chinese colleagues in the way Chinese scientists have done so well in the West.
Closing the door to Chinese students and researchers wishing to come to Western labs would also be disastrous for Western science. Chinese researchers form the backbone of many departments in top American and European universities. In 2022 more of the top-tier AI researchers working in America hailed from China than from America. The West’s model of science currently depends on a huge number of students, often from overseas, to carry out most day-to-day research.
There is little to suggest that the Chinese scientific behemoth will not continue growing stronger. China’s ailing economy may eventually force the CCP to slow spending on research, and if the country were to become completely cut off from the Western science community its research would suffer. But neither of these looks imminent. In 2019 we also asked if research could flourish in an authoritarian system. Perhaps over time its limits will become clear. But for now, and at least for the hard sciences, the answer is that it can thrive. “I think it’d be very unwise to call limits on the Chinese miracle,” says Prof Marginson. “Because it has had no limits up until now.” ■
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