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.



Indian PM, President of Saudi Arabia’s SDAIA Discuss AI Cooperation 

Indian Prime Minister Narendra Modi and President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi meet on the sidelines of the India AI Impact Summit 2026. (SPA)
Indian Prime Minister Narendra Modi and President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi meet on the sidelines of the India AI Impact Summit 2026. (SPA)
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Indian PM, President of Saudi Arabia’s SDAIA Discuss AI Cooperation 

Indian Prime Minister Narendra Modi and President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi meet on the sidelines of the India AI Impact Summit 2026. (SPA)
Indian Prime Minister Narendra Modi and President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi meet on the sidelines of the India AI Impact Summit 2026. (SPA)

Indian Prime Minister Narendra Modi held talks with President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi on the sidelines of the India AI Impact Summit 2026, reported the Saudi Press Agency on Friday.

Discussions focused on knowledge transfer and the exchange of expertise to accelerate digital development in both nations. They also tackled expanding bilateral cooperation in data and AI.

Al-Ghamdi commended India’s leadership in hosting the summit, noting that such international partnerships are essential for harnessing advanced technology to benefit humanity and achieve shared strategic goals.


India Chases 'DeepSeek Moment' with Homegrown AI

A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT
A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT
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India Chases 'DeepSeek Moment' with Homegrown AI

A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT
A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT

Fledgling Indian artificial intelligence companies showcased homegrown technologies this week at a major summit in New Delhi, underpinning big dreams of becoming a global AI power.

But analysts said the country was unlikely to have a "DeepSeek moment" -- the sort of boom China had last year with a high-performance, low-cost chatbot -- any time soon, AFP reported.

Still, building custom AI tools could bring benefits to the world's most populous nation.
At the AI Impact Summit, Prime Minister Narendra Modi lauded new Indian AI models, along with other examples of the country's rising profile in the field.

"All the solutions that have been presented here demonstrate the power of 'Made in India' and India's innovative qualities," Modi said Thursday.

One of the startups making a buzz at the five-day summit was Sarvam AI, which this week released two large language models it says were trained from scratch in India.

Its models are optimized to work across 22 Indian languages, says the company, which received government-subsidized access to advanced computer processors.

The five-day summit, which wraps up Friday, is the fourth annual international meeting to discuss the risks and rewards of the fast-growing AI sector.

It is the largest yet and the first in a developing country, with Indian businesses striking deals with US tech giants to build large-scale data center infrastructure to help train and run AI systems.

On Friday, Abu Dhabi-based tech group G42 said the United Arab Emirates would deploy an AI supercomputer system in India, in a project "designed to lower barriers to AI innovation".

So-called sovereign AI has become a priority for many countries hoping to reduce dependence on US and Chinese platforms while ensuring that systems respect local regulations, including on data privacy.

AI models that succeed in India "can be deployed all over the world", Modi said on Thursday.

But experts said the sheer computational might of the United States would be hard to match.

"Despite the headline pledges, we don't expect India to emerge as a frontier AI innovation hub in the near term," said Reema Bhattacharya, head of Asia research at risk intelligence company Verisk Maplecroft.

"Its more realistic trajectory is to become the world's largest AI adoption market, embedding AI at scale through digital public infrastructure and cost-efficient applications," she said.

Another Indian company that drew attention with product debuts this week was the Bengaluru-based Gnani.ai, which introduced its Vachana speech models at the summit.

Trained on more than a million hours of audio, Vachana models generate natural-sounding voices in Indian languages that can process customer interactions and allow people to interact with digital services out loud.

Job disruption and redundancies, including in India's huge call center industry, have been one key focus of discussions at the Delhi summit.

Prihesh Ratnayake, head of AI initiatives at think-tank Factum, told AFP that the new Indian AI models were "not really meant to be global".

"They're India-specific models, and hopefully we'll see their impact over the coming year," he said.

"Why does India need to build for the global scale? India itself is the biggest market."
And Nanubala Gnana Sai at the Cambridge AI Safety Hub said that homegrown models could bring other benefits.

Existing models, even those developed in China, "have intrinsic bias towards Western values, culture and ethos -- as a product of being trained heavily on that consensus", Sai told AFP.

India already has some major strengths, including "technology diffusion, eager talent pool and cheap labor", and dedicated efforts can help startups pivot to artificial intelligence, he said.

"The end-product may not 'rival' ChatGPT or DeepSeek on benchmarks, but will provide leverage for the Global South to have its own stand in an increasingly polarized world."


Report: Nvidia Nears Deal for Scaled-down Investment in OpenAI

Nvidia chief executive Jensen Huang has insisted that the AI chip powerhouse is committed to a big investment in ChatGPT-maker OpenAI. Lionel BONAVENTURE / AFP
Nvidia chief executive Jensen Huang has insisted that the AI chip powerhouse is committed to a big investment in ChatGPT-maker OpenAI. Lionel BONAVENTURE / AFP
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Report: Nvidia Nears Deal for Scaled-down Investment in OpenAI

Nvidia chief executive Jensen Huang has insisted that the AI chip powerhouse is committed to a big investment in ChatGPT-maker OpenAI. Lionel BONAVENTURE / AFP
Nvidia chief executive Jensen Huang has insisted that the AI chip powerhouse is committed to a big investment in ChatGPT-maker OpenAI. Lionel BONAVENTURE / AFP

Nvidia is on the cusp of investing $30 billion in OpenAI, scaling back a plan to pump $100 billion into the ChatGPT maker, the Financial Times reported Thursday.

The AI-chip powerhouse will be part of OpenAI's new funding round with an agreement that could be concluded as early as this weekend, according to the Times, which cited unnamed sources close to the matter.

Nvidia declined to comment on the report.

Nvidia chief executive Jensen Huang has insisted that the US tech giant will make a "huge" investment in OpenAI and dismissed as "nonsense" reports that he is unhappy with the generative AI star.

Huang made the remarks late in January after the Wall Street Journal reported that Nvidia's plan to invest up to $100 billion in OpenAI had been put on ice.

Nvidia announced the plan in September, with the investment helping OpenAI build more infrastructure for next-generation artificial intelligence.

The funding round is reported to value OpenAI at some $850 billion.

Huang told journalists that the notion of Nvidia having doubts about a huge investment in OpenAI was "complete nonsense."

Huang insisted that Nvidia was going ahead with its investment in OpenAI, describing it as "one of the most consequential companies of our time".

"Sam is closing the round, and we will absolutely be involved in the round," Huang said, referring to OpenAI chief executive Sam Altman.

"We will invest a great deal of money."

Nvidia has become the coveted supplier of processors needed for training and operating the large language models (LLM) behind chatbots like OpenAI's ChatGPT or Google Gemini.

LLM developers like OpenAI are directing much of the mammoth investment they have received into Nvidia's products, rushing to build GPU-stuffed data centers to serve an anticipated flood of demand for AI services.

The AI rush, and its frenzy of investment in giant data centers and the massive purchase of energy-intensive chips, continues despite signs of concern in the markets.