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 Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
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India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)

India is hoping to garner as much as $200 billion in investments for data centers over the next few years as it scales up its ambitions to become a hub for artificial intelligence, the country’s minister for electronics and information technology said Tuesday.

The investments underscore the reliance of tech titans on India as a key technology and talent base in the global race for AI dominance. For New Delhi, they bring in high-value infrastructure and foreign capital at a scale that can accelerate its digital transformation ambitions.

The push comes as governments worldwide race to harness AI's economic potential while grappling with job disruption, regulation and the growing concentration of computing power in a few rich countries and companies.

“Today, India is being seen as a trusted AI partner to the Global South nations seeking open, affordable and development-focused solutions,” Ashwini Vaishnaw told The Associated Press in an email interview, as New Delhi hosts a major AI Impact Summit this week drawing participation from at least 20 global leaders and a who’s who of the tech industry.

In October, Google announced a $15 billion investment plan in India over the next five years to establish its first artificial intelligence hub in the South Asian country. Microsoft followed two months later with its biggest-ever Asia investment announcement of $17.5 billion to advance India’s cloud and artificial intelligence infrastructure over the next four years.

Amazon too has committed $35 billion investment in India by 2030 to expand its business, specifically targeting AI-driven digitization. The cumulative investments are part of $200 billion in investments that are in the pipeline and New Delhi hopes would flow in.

Vaishnaw said India’s pitch is that artificial intelligence must deliver measurable impacts at scale rather than remain an elite technology.

“A trusted AI ecosystem will attract investment and accelerate adoption,” he said, adding that a central pillar of India’s strategy to capitalize on the use of AI is building infrastructure.

The government recently announced a long-term tax holiday for data centers as it hopes to provide policy certainty and attract global capital.

Vaishnaw said the government has already operationalized a shared computing facility with more than 38,000 graphics processing units, or GPUs, allowing startups, researchers and public institutions to access high-end computing without heavy upfront costs.

“AI must not become exclusive. It must remain widely accessible,” he said.

Alongside the infrastructure drive, India is backing the development of sovereign foundational AI models trained on Indian languages and local contexts. Some of these models meet global benchmarks and in certain tasks rival widely used large language models, Vaishnaw said.

India is also seeking a larger role in shaping how AI is built and deployed globally as the country doesn’t see itself strictly as a “rule maker or rule taker,” according to Vaishnaw, but an active participant in setting practical, workable norms while expanding its AI services footprint worldwide.

“India will become a major provider of AI services in the near future,” he said, describing a strategy that is “self-reliant yet globally integrated” across applications, models, chips, infrastructure and energy.

Investor confidence is another focus area for New Delhi as global tech funding becomes more cautious.

Vaishnaw said the technology’s push is backed by execution, pointing to the Indian government's AI Mission program which emphasizes sector specific solutions through public-private partnerships.

The government is also betting on reskilling its workforce as global concerns grow that AI could disrupt white collar and technology jobs. New Delhi is scaling AI education across universities, skilling programs and online platforms to build a large AI-ready talent pool, the minister said.

Widespread 5G connectivity across the country and a young, tech-savvy population are expected to help with the adoption of AI at a faster pace, he added.

Balancing innovation with safeguards remains a challenge though, as AI expands into sensitive sectors such as governance, health care and finance.

Vaishnaw outlined a fourfold strategy that includes implementable global frameworks, trusted AI infrastructure, regulation of harmful misinformation and stronger human and technical capacity to hedge the impact.

“The future of AI should be inclusive, distributed and development-focused,” he said.


Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
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Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)

Elon Musk's SpaceX and its wholly-owned subsidiary xAI are competing in a secret new Pentagon contest to produce voice-controlled, autonomous drone swarming technology, Bloomberg News reported on Monday, citing people familiar with the matter.

SpaceX, xAI and the Pentagon's defense innovation unit did not immediately respond to requests for comment. Reuters could not independently verify the report.

Texas-based SpaceX recently acquired xAI in a deal that combined Musk's major space and defense contractor with the billionaire entrepreneur's artificial intelligence startup. It occurred ahead of SpaceX's planned initial public offering this year.

Musk's companies are reportedly among a select few chosen to participate in the $100 million prize challenge initiated in January, according to the Bloomberg report.

The six-month competition aims to produce advanced swarming technology that can translate voice commands into digital instructions and run multiple drones, the report said.

Musk was among a group of AI and robotics researchers who wrote an open letter in 2015 that advocated a global ban on “offensive autonomous weapons,” arguing against making “new tools for killing people.”

The US also has been seeking safe and cost-effective ways to neutralize drones, particularly around airports and large sporting events - a concern that has become more urgent ahead of the FIFA World Cup and America250 anniversary celebrations this summer.

The US military, along with its allies, is now racing to deploy the so-called “loyal wingman” drones, an AI-powered aircraft designed to integrate with manned aircraft and anti-drone systems to neutralize enemy drones.

In June 2025, US President Donald Trump issued the Executive Order (EO) “Unleashing American Drone Dominance” which accelerated the development and commercialization of drone and AI technologies.


SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
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SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA

Saudi Venture Capital Company (SVC) announced the launch of its proprietary intelligence platform, Aian, developed in-house using Saudi national expertise to enhance its institutional role in developing the Kingdom’s private capital ecosystem and supporting its mandate as a market maker guided by data-driven growth principles.

According to a press release issued by the SVC today, Aian is a custom-built AI-powered market intelligence capability that transforms SVC’s accumulated institutional expertise and detailed private market data into structured, actionable insights on market dynamics, sector evolution, and capital formation. The platform converts institutional memory into compounding intelligence, enabling decisions that integrate both current market signals and long-term historical trends, SPA reported.

Deputy CEO and Chief Investment Officer Nora Alsarhan stated that as Saudi Arabia’s private capital market expands, clarity, transparency, and data integrity become as critical as capital itself. She noted that Aian represents a new layer of national market infrastructure, strengthening institutional confidence, enabling evidence-based decision-making, and supporting sustainable growth.

By transforming data into actionable intelligence, she said, the platform reinforces the Kingdom’s position as a leading regional private capital hub under Vision 2030.

She added that market making extends beyond capital deployment to shaping the conditions under which capital flows efficiently, emphasizing that the next phase of market development will be driven by intelligence and analytical insight alongside investment.

Through Aian, SVC is building the knowledge backbone of Saudi Arabia’s private capital ecosystem, enabling clearer visibility, greater precision in decision-making, and capital formation guided by insight rather than assumption.

Chief Strategy Officer Athary Almubarak said that in private capital markets, access to reliable insight increasingly represents the primary constraint, particularly in emerging and fast-scaling markets where disclosures vary and institutional knowledge is fragmented.

She explained that for development-focused investment institutions, inconsistent data presents a structural challenge that directly impacts capital allocation efficiency and the ability to crowd in private investment at scale.

She noted that SVC was established to address such market frictions and that, as a government-backed investor with an explicit market-making mandate, its role extends beyond financing to building the enabling environment in which private capital can grow sustainably.

By integrating SVC’s proprietary portfolio data with selected external market sources, Aian enables continuous consolidation and validation of market activity, producing a dynamic representation of capital deployment over time rather than relying solely on static reporting.

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights, enabling SVC to identify priority market gaps, recalibrate capital allocation, design targeted ecosystem interventions, and anchor policy dialogue in evidence.

The release added that Aian also features predictive analytics capabilities that anticipate upcoming funding activity, including projected investment rounds and estimated ticket sizes. In addition, it incorporates institutional benchmarking tools that enable structured comparisons across peers, sectors, and interventions, supporting more precise, data-driven ecosystem development.