Technology
MIT’s New Algorithm Could Transform Urban Planning, Supply Chains and the Future of ‘Small Data’
MIT researchers have developed a breakthrough algorithm that identifies the smallest dataset needed to guarantee optimal decisions in complex real-world systems.
When cities build new subway lines, they face an impossible dilemma long before construction begins: how do you identify the cheapest, safest path through hundreds of city blocks without spending years on costly field surveys? Urban planners typically assume that the only way to make an optimal choice is to collect as much data as possible — often far more than budgets, timelines, or logistics allow.
A new study from researchers at the Massachusetts Institute of Technology (MIT) challenges that assumption with a radically different idea: for many complex decisions, you don’t need more data — you just need the right data.
The team has developed a mathematical and algorithmic framework that can identify the smallest possible dataset required to guarantee an optimal decision, even in problems involving thousands of uncertainties. Their findings suggest that a city planning a subway line under Manhattan, or a utility operator optimizing an electricity grid, may be able to cut their data collection needs dramatically.
And the breakthrough doesn’t just reduce the burden of field surveys — it rewrites long-held beliefs about AI and the data economy.
“Data are one of the most important aspects of the AI economy. Models are trained on more and more data, consuming enormous computational resources. But most real-world problems have structure that can be exploited. We’ve shown that with careful selection, you can guarantee optimal solutions with a small dataset,”Asu Ozdaglar, head of MIT’s EECS department, in a statement issued as part of this research.
Rethinking the ‘Big Data’ Era
For over a decade, modern AI has pushed the narrative that “more data is always better.” But many real-world optimization problems — from supply chains and transit networks to energy markets — have predictable structural patterns. The MIT researchers argue that this structure can be used to determine exactly which data points matter.
This is crucial in systems like:subway route selection, supply chain diversification, electricity network optimization, construction planning, logistics and resource allocation.
In all these cases, practitioners often drown in unnecessary data collection, hoping volume will compensate for uncertainty.
The new algorithm takes the opposite approach: start with no data, and add only what is provably essential.
The Key Breakthrough
The team’s method begins by mathematically defining what it means for a dataset to be “sufficient.” They break the decision space into “optimality regions” — scenarios in which a particular route, price, or configuration becomes the best choice.
A dataset is sufficient if it can accurately determine which region the real world belongs to. “When we say a dataset is sufficient, we mean that it contains exactly the information needed to solve the problem. You don’t need to estimate all parameters accurately; you just need data that can discriminate between competing optimal solutions,” said Amine Bennouna, co-lead author.
Once the structure is defined, the algorithm repeatedly asks a critical question: “Is there any scenario in which the optimal decision could change, and my current data would fail to detect it?”
If the answer is yes, the algorithm identifies precisely which new measurement would fill that gap. If no, the dataset is complete — and provably sufficient.
This approach can shrink data collection from thousands of measurements to a handful.
“The algorithm guarantees that, for whatever scenario could occur within your uncertainty, you’ll identify the best decision,” Omar Bennouna, co-lead author, added.
From Manhattan Tunnels to Global Supply Chains
Consider the example of a subway planned beneath New York City. Every city block might hide different soil conditions, underground utilities, or hazard profiles. The traditional assumption: investigate everything.
The MIT model: investigate only the blocks that can change the optimal route, and ignore the rest.
The same applies to: selecting shipping routes in a congested supply chain, configuring electrical grid nodes during volatile energy prices, deciding where to place sensors in large infrastructure projects. This could save millions in surveys, simulations, and engineering assessments.
The researchers were able to show not only that minimal datasets exist — but that their algorithm can find them systematically, preserving optimality with mathematical certainty.
“We challenge this misconception that small data means approximate solutions. These are exact sufficiency results with mathematical proofs,” Saurabh Amin, co-senior author, said.
Why This Matters: Cost, Carbon, and Computational Savings
If AI models can be trained with fewer, smarter data points: computation becomes cheaper, energy consumption drops, model training becomes faster and policymakers can rely on faster decision cycles.
For large infrastructure projects, this could mean shaving months — even years — off planning timelines.
The team plans to expand the framework to more complex scenarios, including situations where data are noisy or partially observable — a common challenge in the real world.
Their work will be presented at the Conference on Neural Information Processing Systems (NeurIPS) — a major stage for breakthroughs that redefine how AI systems learn and make decisions.
If successful, this research could push the global AI ecosystem to rethink its data obsession. Instead of hoarding massive datasets, the future may lie in asking sharper questions — and collecting only the data that truly matters.
The Sciences
Researchers crack greener way to mine lithium, cobalt and nickel from dead batteries
A breakthrough recycling method developed at Monash University in Australia can recover over 95% of critical metals from spent lithium-ion batteries—without extreme heat or toxic chemicals—offering a major boost to clean energy and circular economy goals.
Researchers at Monash University, based in Melbourne, Australia, have developed a breakthrough, environmentally friendly method to recover high-purity nickel, cobalt, manganese and lithium from spent lithium-ion batteries, offering a safer alternative to conventional recycling processes.
The new approach uses a mild and sustainable solvent, avoiding the high temperatures and hazardous chemicals typically associated with battery recycling. The innovation comes at a critical time, as an estimated 500,000 tonnes of spent lithium-ion batteries have already accumulated globally. Despite their growing volume, recycling rates remain low, with only around 10 per cent of spent batteries fully recycled in countries such as Australia.
Most discarded batteries end up in landfills, where toxic substances can seep into soil and groundwater, gradually entering the food chain and posing long-term health and environmental risks. This is particularly concerning given that spent lithium-ion batteries are rich secondary resources, containing strategic metals including lithium, cobalt, nickel, manganese, copper, aluminium and graphite.
Existing recovery methods often extract only a limited range of elements and rely on energy-intensive or chemically aggressive processes. The Monash team’s solution addresses these limitations by combining a novel deep eutectic solvent (DES) with an integrated chemical and electrochemical leaching process.
Dr Parama Banerjee, principal supervisor and project lead from the Department of Chemical and Biological Engineering, said the new method achieves more than 95 per cent recovery of nickel, cobalt, manganese and lithium, even from industrial-grade “black mass” that contains mixed battery chemistries and common impurities.

“This is the first report of selective recovery of high-purity Ni, Co, Mn, and Li from spent battery waste using a mild solvent,” Dr Banerjee said.
“Our process not only provides a safer, greener alternative for recycling lithium-ion batteries but also opens pathways to recover valuable metals from other electronic wastes and mine tailings.”
Parisa Biniaz, PhD student and co-author of the study, said the breakthrough represents a significant step towards a circular economy for critical metals while reducing the environmental footprint of battery disposal.
“Our integrated process allows high selectivity and recovery even from complex, mixed battery black mass. The research demonstrates a promising approach for industrial-scale recycling, recovering critical metals efficiently while minimising environmental harm,” Biniaz said.
The researchers say the method could play a key role in supporting sustainable energy transitions by securing critical mineral supplies while cutting down on environmental damage from waste batteries.
Technology
From Tehran Rooftops To Orbit: How Elon Musk Is Reshaping Who Controls The Internet
How Starlink turned the sky into a battleground for digital power — and why one private network now challenges the sovereignty of states
On a rooftop in northern Tehran, long after midnight, a young engineering student adjusts a flat white dish toward the sky. The city around him is digitally dark—mobile data throttled, social media blocked, foreign websites unreachable. Yet inside his apartment, a laptop screen glows with Telegram messages, BBC livestreams, and uncensored access to the outside world.
Scenes like this have appeared repeatedly in footage from Iran’s unrest broadcast by international news channels.
But there’s a catch. The connection does not travel through Iranian cables or telecom towers. It comes from space.
Above him, hundreds of kilometres overhead, a small cluster of satellites belonging to Elon Musk’s Starlink network relays his data through the vacuum of orbit, bypassing the state entirely.
For governments built on control of information, this is no longer a technical inconvenience. It is a political nightmare. The image is quietly extraordinary. Not because of the technology — that story is already familiar — but because of what it represents: a private satellite network, owned by a US billionaire, now functioning as a parallel communications system inside a sovereign state that has deliberately tried to shut its citizens offline.
The Rise of an Unstoppable Network
Starlink, operated by Musk’s aerospace company SpaceX, has quietly become the most ambitious communications infrastructure ever built by a private individual.
As of late 2025, more than 9,000 Starlink satellites orbit Earth in low Earth orbit (LEO) (SpaceX / industry trackers, 2025). According to a report in Business Insider, the network serves over 9 million active users globally, and Starlink now operates in more than 155 countries and territories (Starlink coverage data, 2025).
It is the largest satellite constellation in human history, dwarfing every government system combined.
This is not merely a technology story. It is a power story.
Unlike traditional internet infrastructure — fibre cables, mobile towers, undersea routes — Starlink’s backbone exists in space. It does not cross borders. It does not require landing rights in the conventional sense. And, increasingly, it does not ask permission.
Iran: When the Sky Replaced the State
During successive waves of anti-government protests in Iran, authorities imposed sweeping internet shutdowns: mobile networks crippled, platforms blocked, bandwidth throttled to near zero. These tactics, used repeatedly since 2019, were designed to isolate protesters from each other and from the outside world.
They did not fully anticipate space-based internet.
By late 2024 and 2025, Starlink terminals had begun appearing clandestinely across Iranian cities, smuggled through borders or carried in by diaspora networks. Possession is illegal. Penalties are severe. Yet the demand has grown.
Because the network operates without local infrastructure, users can communicate with foreign media, upload protest footage in real time, coordinate securely beyond state surveillance, and maintain access even during nationwide blackouts.
The numbers are necessarily imprecise, but multiple independent estimates provide a sense of scale. Analysts at BNE IntelliNews estimated over 30,000 active Starlink users inside Iran by 2025.
Iranian activist networks suggest the number of physical terminals may be between 50,000 and 100,000, many shared across neighbourhoods. Earlier acknowledgements from Elon Musk confirmed that SpaceX had activated service coverage over Iran despite the lack of formal licensing.
This is what alarms governments most: the state no longer controls the kill switch.

Ukraine: When One Man Could Switch It Off
The power — and danger — of this new infrastructure became even clearer in Ukraine.
After Russia’s 2022 invasion, Starlink terminals were shipped in by the thousands to keep Ukrainian communications alive. Hospitals, emergency services, journalists, and frontline military units all relied on it. For a time, Starlink was celebrated as a technological shield for democracy.
Then came the uncomfortable reality.
Investigative reporting later revealed that Elon Musk personally intervened in decisions about where Starlink would and would not operate. In at least one documented case, coverage was restricted near Crimea, reportedly to prevent Ukrainian drone operations against Russian naval assets.
The implications were stark: A private individual, accountable to no electorate, had the power to influence the operational battlefield of a sovereign war. Governments noticed.

Digital Sovereignty in the Age of Orbit
For decades, states have understood sovereignty to include control of national telecom infrastructure, regulation of internet providers, the legal authority to impose shutdowns, the power to filter, censor, and surveil.
Starlink disrupts all of it.
Because, the satellites are in space, outside national jurisdiction. Access can be activated remotely by SpaceX, and the terminals can be smuggled like USB devices. Traffic can bypass domestic data laws entirely.
In effect, Starlink represents a parallel internet — one that states cannot fully regulate, inspect, or disable without extraordinary countermeasures such as satellite jamming or physical raids.
Authoritarian regimes view this as foreign interference. Democratic governments increasingly see it as a strategic vulnerability. Either way, the monopoly problem is the same: A single corporate network, controlled by one individual, increasingly functions as critical global infrastructure.
How the Technology Actually Works
The power of Starlink lies in its architecture. Traditional internet depends on fibre-optic cables across cities and oceans, local internet exchanges, mobile towers and ground stations, and centralised chokepoints.
Starlink bypasses most of this. Instead, it uses thousands of LEO satellites orbiting at ~550 km altitude, user terminals (“dishes”) that automatically track satellites overhead, inter-satellite laser links, allowing data to travel from satellite to satellite in space, and a limited number of ground gateways connecting the system to the wider internet.
This design creates resilience: No single tower to shut down, no local ISP to regulate, and no fibre line to cut.
For protesters, journalists, and dissidents, this is transformative. For governments, it is destabilising.
A Private Citizen vs the Rules of the Internet
The global internet was built around multistakeholder governance: National regulators, international bodies like the ITU, treaties governing spectrum use, and complex norms around cross-border infrastructure.
Starlink bypasses much of this through sheer technical dominance, and it has become a company that: owns the rockets, owns the satellites, owns the terminals, controls activation, controls pricing, controls coverage zones… effectively controls a layer of global communication.
This is why policymakers now speak openly of “digital sovereignty at risk”. It is no longer only China’s Great Firewall or Iran’s censorship model under scrutiny. It is the idea that global connectivity itself might be increasingly privatised, personalised, and politically unpredictable.

The Unanswered Question
Starlink undeniably delivers real benefits, it offers connectivity in disaster zones, internet access in rural Africa, emergency communications in war, educational access where infrastructure never existed.
But it also raises an uncomfortable, unresolved question: Should any individual — however visionary, however innovative — hold this much power over who gets access to the global flow of information?
Today, a protester in Tehran can speak to the world because Elon Musk chooses to allow it.
Tomorrow, that access could disappear just as easily — with a policy change, a commercial decision, or a geopolitical calculation.The sky has become infrastructure. Infrastructure has become power. And power, increasingly, belongs not to states — but to a handful of corporations.
There is another layer to this power calculus — and it is economic. While Starlink has been quietly enabled over countries such as Iran without formal approval, China remains a conspicuous exception. The reason is less technical than commercial. Elon Musk’s wider business empire, particularly Tesla, is deeply entangled with China’s economy. Shanghai hosts Tesla’s largest manufacturing facility in the world, responsible for more than half of the company’s global vehicle output, and Chinese consumers form one of Tesla’s most critical markets.
Chinese authorities, in turn, have made clear their hostility to uncontrolled foreign satellite internet, viewing it as a threat to state censorship and information control. Beijing has banned Starlink terminals, restricted their military use, and invested heavily in its own rival satellite constellation. For Musk, activating Starlink over China would almost certainly provoke regulatory retaliation that could jeopardise Tesla’s operations, supply chains, and market access. The result is an uncomfortable contradiction: the same technology framed as a tool of freedom in Iran or Ukraine is conspicuously absent over China — a reminder that even a supposedly borderless internet still bends to the gravitational pull of corporate interests and geopolitical power.
Society
Reliance to build India’s largest AI-ready data centre, positions Gujarat as global AI hub
As part of making Gujarat India’s artificial intelligence pioneer, in Jamnagar we are building India’s largest AI-ready data centre: Mukesh Ambani
Reliance Industries Limited, India’s largest business group, has announced plans to build the country’s largest artificial intelligence–ready data centre in Jamnagar, a coastal industrial city in the western Indian state of Gujarat, as part of a broader push to expand access to AI technologies at population scale.
The announcement was made by Mukesh Ambani, chairman and managing director of Reliance Industries, during the Vibrant Gujarat Regional Conference for the Kutch and Saurashtra region, a government-led investment and development forum focused on regional economic growth.
Ambani said the Jamnagar facility is being developed with a single objective: “Affordable AI for every Indian.” He positioned the project as a foundational investment in India’s digital infrastructure, aimed at enabling large-scale adoption of artificial intelligence across sectors including industry, services, education and public administration.
“As part of making Gujarat India’s artificial intelligence pioneer, in Jamnagar we are building India’s largest AI-ready data centre,” Ambani said, adding that the facility is intended to support widespread access to AI tools for individuals, enterprises and institutions.
Reliance also announced that its digital arm, Jio, will launch a “people-first intelligence platform,” designed to deliver AI services in multiple languages and across consumer devices. According to Ambani, the platform is being built in India for both domestic and international users, with a focus on everyday productivity and digital inclusion.
The AI initiative forms part of Reliance’s broader commitment to invest approximately Rs 7 trillion (about USD 85 billion) in Gujarat over the next five years. The company said the investments are expected to generate large-scale employment while positioning the region as a hub for emerging technologies.
The Jamnagar AI data centre is being developed alongside what Reliance describes as the world’s largest integrated clean energy manufacturing ecosystem, encompassing solar power, battery storage, green hydrogen and advanced materials. Ambani said the city, historically known as a major hub for oil refining and petrochemicals, is being re-engineered as a centre for next-generation energy and digital technologies.
The announcements were made in the presence of Indian Prime Minister Narendra Modi and Gujarat Chief Minister Bhupendra Patel, underscoring the alignment between public policy and private investment in India’s long-term technology and infrastructure strategy.
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