Inside the Underground Lab in China Tasked with Solving a Physics Mystery

A view of the soon-to-be-completed and sealed central detector at the Jiangmen Underground Neutrino Observatory (JUNO), during an organized media tour by the Chinese foreign ministry and the Chinese Academy of Sciences (CAS), in Kaiping, Guangdong province, China October 11, 2024. (Reuters)
A view of the soon-to-be-completed and sealed central detector at the Jiangmen Underground Neutrino Observatory (JUNO), during an organized media tour by the Chinese foreign ministry and the Chinese Academy of Sciences (CAS), in Kaiping, Guangdong province, China October 11, 2024. (Reuters)
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Inside the Underground Lab in China Tasked with Solving a Physics Mystery

A view of the soon-to-be-completed and sealed central detector at the Jiangmen Underground Neutrino Observatory (JUNO), during an organized media tour by the Chinese foreign ministry and the Chinese Academy of Sciences (CAS), in Kaiping, Guangdong province, China October 11, 2024. (Reuters)
A view of the soon-to-be-completed and sealed central detector at the Jiangmen Underground Neutrino Observatory (JUNO), during an organized media tour by the Chinese foreign ministry and the Chinese Academy of Sciences (CAS), in Kaiping, Guangdong province, China October 11, 2024. (Reuters)

A giant sphere 700 m (2,300 ft) underground with thousands of light-detecting tubes will be sealed in a 12-storey cylindrical pool of water in coming months for an experiment that will shine new light on elusive subatomic particles known as neutrinos.

After years of construction, the $300 million Jiangmen Underground Neutrino Observatory (JUNO) in China's southern Guangdong province will soon start gathering data on neutrinos, a product of nuclear reactions, to help solve one of the biggest mysteries in particle physics.

Every second, trillions of extremely small neutrinos pass through matter, including the human body. In mid-flight, a neutrino, of which there are three known varieties, could transform into other types. Determining which types are the lightest and the heaviest would offer clues to subatomic processes during the early days of the universe and to explaining why matter is the way it is.

To that end, Chinese physicists and collaborating scientists from all over the world will analyze the data on neutrinos emitted by two nearby Guangdong nuclear power plants for up to six years.

JUNO would also be able to observe neutrinos from the sun, gaining a real-time view of solar processes. It could also study neutrinos given off by the radioactive decay of uranium and thorium in the Earth to better understand mantle convection driving tectonic plates.

Due to go operational in the latter half of 2025, JUNO will outpace the far larger Deep Underground Neutrino Experiment (DUNE) under construction in the United States. DUNE, backed by the Long-Baseline Neutrino Facility (LBNF) under the US Department of Energy's (DOE) top particle physics laboratory, Fermilab, will come online around 2030.

The race to understand neutrinos and advance the study of particle physics, which has transformed medical imaging technologies and developed new energy sources, intensified when the DOE abruptly cut funding for US institutes collaborating on JUNO. It instead focused on building DUNE, which has since been plagued by delays and budget overruns, with costs skyrocketing to more than $3 billion.

"China had supported Fermilab's LBNF at the time, but later the cooperation could not continue," Wang Yifang, chief scientist and project manager of JUNO, told Reuters during a recent government-backed media tour of the facility.

"Around 2018-2019, the US DOE asked all national laboratories not to cooperate with China, so Fermilab was forced to stop working with us."

The DOE, the largest US funding agency for particle physics, did not respond to Reuters' request for comment.

Sino-US tensions have risen sharply over the past decade. A trade war erupted during the Trump administration and President Joe Biden later cracked down on the sale of advanced technology to China.

In August, a bilateral science and technology cooperation pact signed in 1979 lapsed, potentially pushing more scientists to seek alternative partners, creating duplication in research and missing out on collaboration that otherwise might have led to beneficial discoveries.

In the 2010s, the countries jointly produced a nuclear reactor that could use low-enriched uranium, minimizing the risk of any fuel being weaponized.

China's foreign ministry said Beijing was "in communication" with Washington about the lapsed science agreement. The US State Department did not comment.

SOLE US COLLABORATOR

Institutions collaborating on JUNO hail from locations including France, Germany, Italy, Russia and the US, and even self-governed Taiwan, which China claims as part of its territory.

Neutrino observatories are also being constructed in other places.

"The one in the US will be six years behind us. And the one in the France and in Japan, they will be two or three years later than us. So we believe that we can get the result of mass hierarchy (of neutrinos) ahead of everybody," Wang said.

So far, real-life neutrino applications remain a distant prospect. Some scientists have mulled the possibility of relaying long-distance messages via neutrinos, which pass through solid matter such as the Earth at near light speed.

Researchers are keeping their distance from politics to focus on science, although they remain at the mercy of governments providing the funding.

One US group remains in JUNO, backed by the National Science Foundation, which recently renewed its funding for its collaboration for another three years, the group's leading physicist told Reuters.

In contrast, more than a dozen US institutes participated in the predecessor to JUNO, the Daya Bay experiment, also in Guangdong.

"Despite any political differences, I believe that through our collaboration on this scientific endeavor, we are setting a positive example that may contribute, even in a small way, to bringing our countries closer together," said J. Pedro Ochoa-Ricoux of the University of California, Irvine.

DATA INTEGRITY

The passage of neutrinos from the two power stations will be logged by JUNO's 600 metric ton spherical detector, which will immediately transmit the data to Beijing electronically. The data will be simultaneously relayed to Russia, France and Italy, where it can be accessed by all of the collaborating institutions, said Cao Jun, JUNO's deputy manager.

Data integrity has been a concern among foreign companies in China since a law was enacted in 2021 on the use, storage and transfer of data in the name of safeguarding national security.

"We have a protocol to make sure that no data is missing," Cao said.

For data on the more crucial aspects of the experiment, at least two independent teams will conduct analyses, with their results cross-checked.

"When these two groups get a consistent result, we can publish it," Cao said.

US-based Ochoa-Ricoux, who previously collaborated on China's Daya Bay experiment, will lead the data analysis for JUNO. He will also be involved in the DUNE data analysis.

"We welcome the Americans," said Wang, also director of the Institute of High Energy Physics, the Chinese counterpart of Fermilab.



India Clears Way for Self-driving, Safety Car Tech to Reduce Road Deaths

A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)
A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)
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India Clears Way for Self-driving, Safety Car Tech to Reduce Road Deaths

A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)
A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)

India has scrapped a license requirement for radar sensors, freeing automakers to adopt technology that helps cars avoid crashes and drive themselves by sensing surrounding objects, in a bid to make some of the world's deadliest roads safer.

The world's third largest car market, India reported more than 177,000 deaths in nearly half a million ⁠road accidents in 2024, the ⁠latest figures show, according to Reuters.

In a notice on Thursday, the government waived the license requirement for radar sensors operating in the frequency band from 77GHz to 81 GHz. That lets companies ⁠enable the technology without the government having to separately assign the airwaves.

Automakers Maruti Suzuki, Tata Motors and Mahindra & Mahindra, stand to benefit from the change, as well the suppliers behind them, such as Germany's Bosch and Continental.

The radar sensors let a car gauge safe distances, and drive features such as emergency braking, adaptive cruise ⁠control ⁠and blindspot warnings, to form a basis for autonomous driving.

The change brings India in line with the United States, the European Union and a global telecoms standard, all of which dedicate the same frequency band to vehicle radar.

That lets carmakers and suppliers tap into the same off-the-shelf hardware worldwide, rather than having to build an India-specific version.


AI Robot Cleaners Leave the Lab for China's Living Rooms

The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP
The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP
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AI Robot Cleaners Leave the Lab for China's Living Rooms

The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP
The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP

Beijing cleaner Lin Meiqiong found her work a little easier the day she was paired with an unlikely new colleague -- a tall, wheeled robot with AI-powered tidying skills.

The 56-year-old and her white-and-silver partner, fitted with cameras and two mechanical claws, are part of a new human-robot cleaning service offered by Chinese household help platform 58.com.

It's a baby step towards a future espoused by tech evangelists in which robots increasingly take over manual labor from humans -- though at the moment, such services are largely a data-gathering exercise for companies and a novelty for curious customers.

"It's definitely different," Lin told AFP in between cleaning the kitchen and wiping down windows.

"I used to have to do everything myself," she said. "It's reduced the workload a bit."

The cleaning service, a collaboration between 58.com and Chinese robotics company X Square, costs 149 yuan ($22) for three hours and is available in Beijing and tech hub Shenzhen.

Helped into the apartment by an X Square engineer, the AI-operated Quanta X1 Pro robot uses its cameras to identify areas it could spruce up.

As Lin scrubbed the floor on her knees, it picked up rubbish and folded clothes strewn across a sofa.

Grasping a pair of dark grey trousers, it raised its upper body to stretch the fabric taut, before laying it flat and arranging it into neat halves.

The process took several minutes and resembled a child learning to fold clothes for the first time.

Future iterations of the robot will respond to voice commands and even be able to chat, said the engineer, Hu Bowen.

- 'Better than a lab' -

Around 200 households have booked the service since it was rolled out in March.

Tan Pei, who works in advertising and booked the robot to clean her Beijing flat, said she had chosen the service because she was interested to "see what it could do".

"Even though it's not that perfect, there are still parts of it that surprised me," such as folding a pair of trousers "quite well", she said.

China's robots have wowed audiences with fluid dancing and set-piece martial arts displays onstage, but their application and performance in real-life settings remains limited.

For companies like X Square, the logic of launching an imperfect service lies in data collection for so-called embodied artificial intelligence.

Unlike large language models trained on vast quantities of internet content, robots lack comparable real-world datasets.

"We don't have a robot internet yet," Christoforos Mavrogiannis from the University of Michigan told AFP.

"It is much more informative to put the robot out there and study what happens than staying forever in the lab."

X Square engineer Hu said he sends his robots to work in a "completely unfamiliar environment".

"That is very challenging, but this unfamiliar data is also very helpful for the robot's growth."

As investment into embodied AI booms, similar trials in China include robots directing traffic in cities like Hangzhou or working on factory floors.

On the domestic help front, firm GigaAI also plans to deploy 100 humanoid robots into households in central Wuhan this autumn for free home-service trials.

Investors have poured more than 57.7 billion yuan ($8.5 billion) into China's embodied AI industry so far this year, already soaring past the total for last year as a whole, according to business database ITjuzi.

- 'Very elementary stage' -

But a myriad of hurdles stand in the way of widespread deployment.

As the Quanta X1 Pro's clothes folding demonstrated, robots still can't match human dexterity.

"Even though many companies are working on building better hands and building autonomy for hands, we don't have that yet," the University of Michigan's Mavrogiannis said.

There are multiple regulatory issues even once the physical capability is there.

Privacy will become a big issue, as robots would have access to huge amounts of personal data.

"We don't know where that data is going, where it's located... who is looking at that information," said Valeria Alessandra Macalupu Chira from Queensland University of Technology.

The safety of clients and their homes is another unresolved issue.

"I think we are still at a very elementary stage," said Yang Jianfei from Singapore's Nanyang Technological University.

Robots currently require supervision by humans who can activate emergency stop functions, he noted, and there are not yet recognized industry-wide safety standards.

Experts agree broad adoption seems a long way off.

Asked whether she thought robots would revolutionize her industry, cleaner Lin did not seem too concerned.

"Compared with people, it's obviously still not quite there," she said. "After all, it's a robot."


Saudi Arabia Participates in GPAI Paris Meeting for First Time as Member

Saudi Arabia Participates in GPAI Paris Meeting for First Time as Member
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Saudi Arabia Participates in GPAI Paris Meeting for First Time as Member

Saudi Arabia Participates in GPAI Paris Meeting for First Time as Member

Saudi Arabia, represented by the Saudi Data and Artificial Intelligence Authority (SDAIA), participated for the first time as a member of the Global Partnership on Artificial Intelligence (GPAI) during the partnership’s fifth plenary meeting, held at the Organization for Economic Co-operation and Development (OECD) headquarters in Paris from June 9–11, the Saudi Press Agency said on Thursday.

The event brought together member countries, experts, and AI policymakers from around the world to discuss the future of artificial intelligence and international cooperation in the field.

The Kingdom was represented at the meeting by Rehab Alarfaj, General Manager of Strategic Partnerships and Indices at SDAIA, who participated in sessions and discussions focused on AI governance, the implementation of the OECD AI Principles, and the future direction of the GPAI’s work.

Alarfaj stressed the importance of developing practical tools to translate AI principles into actionable, real-world applications. These tools should account for differences in national priorities and levels of institutional maturity among countries, while ensuring the principles remain globally consistent and locally applicable.