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Received — 31 May 2026 The Conversation

My unsung hero of science: William Adams, the Bombay bureaucrat whose vision of a solar future was dashed by colonial conservatism

William Adams was entranced by energy. As a young man, his interest was nursed by working as a clerk in a London patent office in the 1860s. This gave him an early look at some of the first British designs for exploiting solar energy using mirrors, water or both.

Adams would later recount his excitement at reading about the French mathematician Augustin Mouchot’s invention of the first machine ever to run on energy from the Sun. The device, which connected a solar boiler to a specifically designed steam engine, was warmly received by Napoleon III when it was presented to the emperor in 1866.

Inspired, Adams soon designed and patented his own rudimentary solar boiler. The only problem was, he needed more sun.


Frank Malina beside a rocket

This series is dedicated to lesser-known, highly influential scientists who have had a powerful influence on the careers and research paths of many others, including the authors of these articles.


When offered the chance to become deputy registrar of Bombay by the Indian city’s governor, Sir Philip Edmond Wodehouse, Adams jumped at the opportunity. There, he became the first Briton to design, build and test a fully-functioning solar steam engine fit for industrial purpose.

But he also came up against the conservatism of India’s colonial rulers, who did not see this Bombay bureaucrat for the energy visionary that he undoubtedly was.

‘The rays beat like missiles’

Adams arrived in Bombay in 1873 to find it in the middle of a cotton boom, with mills popping up like mushrooms across the city. The population was growing so quickly that firewood was depleted for miles around. The landscape grew “bald as a billiard ball”, as Adams put it.

Every morning before setting off for work near Bombay’s central fort, Adams would set up his outdoor laboratory at his home in the southernmost Colaba district, near the open sea. He instructed an Indian fundhi (skilled carpenter) to build a set of three-tiered wooden shelves to hold 18 looking glasses.

“Each glass was moveable on a swivel in the same manner as an ordinary toilet glass”, Adams explained, meaning he could pivot each glass by “the touch of the finger”.

Later, for open-air experiments, Adams used two banks of mirrors (36 in total) which made “the mercury in the thermometer boil, leaping up to over 670 degrees fahrenheit”. He then placed a copper cylinder containing three gallons of water in the focus of all 36 mirrors, making it boil in exactly 20 minutes.

But Adams’s ambition did not end there. To reach sufficient pressure in the boiler to drive a steam engine, this bureaucrat-cum-engineer built a giant concave mirror, 24 feet in diameter. He then sent for his London solar boiler, which was delivered by ship to Bombay in 1876.

One fine morning, Adams – wearing dark glasses for safety – turned his giant concave mirror on the copper cylinder filled with water. “The rays beat like missiles in a continuous and incessant storm of solar fire,” he wrote.

An hour later, the cylinder registered 55 pounds of pressure per square inch. He hired a steam engine of 3 horsepower and connected it to the boiler: the pressure moved the pistons. Adams had built the first working, British-designed solar steam engine.

For a fortnight, he kept the pump going near his bungalow in Colaba – proudly and sweatily displaying his innovation to government officials, newspaper reporters, mill owners and the local Indian communities. Members of the public were invited to witness his experiments too, via a notification in a Bombay newspaper.

Engraving showing William Adams's design for a portable solar cooking stove.
Adams’s design for a portable solar cooking stove. Illustration from Cooking by Solar Heat by William Adams in Scientific American (1878), CC BY-NC-ND

‘An inexhaustible source of wealth’

In 1877, Adams wrote a letter to the editor of the Times of India arguing that the application of his solar steam engine would “make India the seat of the principal manufacturing industries of the world”.

Later, in his wildly ahead-of-its-time treatise Solar Heat: A Substitute for Fuel in Tropical Countries (1878), Adams argued that countries near the equator “possess, in their clear skies, a gratuitous and inexhaustible source of wealth, equal to that which western nations have to dig, with infinite labour and toil, from the bowels of the Earth”.

Adams sketched out plans to use solar heat for everything from cotton gins (engines to separate cotton fibres from seeds) to Hindu crematoria. He called upon the colonial British government to invest in this promising substitute for coal, which was then being imported to India at great expense.

Adams envisioned solar energy transforming the Raj. Just like the coal-combusting steam engine had replaced the waterwheel in England, he argued that thermal heat could now replace fossil fuels in India. But his colonial bosses were not persuaded.

‘Too subversive’

Adams was part of a 19th-century wave of global research into solar steam engines, as I explore in my postdoctoral project and upcoming book. But in contrast to fellow pioneers including Frenchman Mouchot, Adams built his solar steam engine to stimulate local Indian industry, not to benefit the colonial government.

The locals shared Adams’s belief in this technology. One even wrote to Scientific American magazine to express their desire for the rapid adoption of solar power:

My residence is in a tropical part of India … where fuel is scarce and dear … In this part of the country (about 300 miles north of Bombay), there is a great opening for cheap power in small units.

Bombay’s new governor Sir Richard Temple concluded, however, that solar heat “could not be used for commercial purposes on a large scale”. He argued that local factory owners would not like giving “the workmen a holiday on days when the sky is not clear”.

In truth, Adams’s invention was too subversive for Britain’s colonial officials and capitalists. In less sunny climes, solar energy – tethered to the seasonal rhythms of nature – might negate their commercial ambition for timeless industrial production. But they also saw India as an important market for British coal exports.

A huge solar power plant in western India.
AMPIN Energy’s solar power plant in Bhadla, western India. India is now the world’s third biggest generator of solar power. Sarvajanik Puralekh/Wikimedia Commons, CC BY-SA

While a few mill owners adopted Adams’s auxiliary solar heater for their steam engines, most regarded it as a primitive contraption unfit to satisfy the demands of modern civilisation.

Increasingly frustrated that neither the industrial capitalists nor the colonial government supported his vision, Adams abandoned further experiments. His dream of India switching away from coal to solar power, from combustion to concentration, would not happen for at least another century.

Now, however, India is a world leader in the global energy transition. It heads the International Solar Alliance, and is the third largest solar power generator in the world.

Which begs the question: how much further advanced would this technology be had Adams’s 19th-century solar experiments been embraced by India’s colonial rulers at the time?

The Conversation

Sebastian Egholm Lund receives funding from the Carlsberg Foundation. His upcoming book, Changing the Climate at the Fin de Siècle, is published by Cambridge University Press (September 2026).

What AI taxis and robots can learn from bees

Bees are very good at navigation. James wk/Shutterstock

Even advanced technology can struggle when the real world becomes unpredictable. In April 2026, a Waymo robotaxi in San Antonio, Texas, drove into a flooded lane during severe weather, prompting the company to recall about 3,800 vehicles for a software fix.

No one was injured, but the incident exposed a deeper challenge: intelligence is not just about processing data. It is about knowing where to look, what to notice, when to act and how to use previous experience when conditions change.

AI researchers are now looking at bees and other insects to help them design machines and robots that can make better decisions.

My research explores how bees learn, from identifying simple visual patterns to mastering high-level concepts, and how they adapt their behaviour when conditions change.

By combining behavioural experiments, neural recording (for example, measuring signals from the brain) and neuromorphic computing (an approach to computing inspired by the animal brain), my goal is to uncover the biological code that allows tiny brains to navigate a complex world and make efficient decisions. I have also worked in industry to translate these biological discoveries into robotic applications – bringing the intelligence of the hive to machine intelligence.

Research on honeybee decision making has shown that bees make rapid and accurate choices about whether to accept or reject flowers. They do not need perfect information. Instead, they combine sensory evidence, past experience and the likely value of a reward (for example, how much nectar they might gather).


Read more: Queen bumblebees can breathe underwater — for days. We discovered how


Many autonomous systems need to be able to do this. A robot exploring a greenhouse, warehouse or disaster zone cannot wait for perfect data. Bees offer a model based on flexible decisions and useful shortcuts rather than huge computation.

With brains smaller than a sesame seed, bees navigate long distances, move through cluttered landscapes, identify rewarding flowers, avoid danger, communicate with nestmates and make rapid decisions. They achieve this with a tiny fraction of the energy used by modern computers, and can learn after only a few experiences that a new colour, scent or pattern predicts food.

This makes the bee an unlikely blueprint for low-power, robust AI and autonomous systems that can cope with the real world.

Bees can multitask

Many AI systems are designed to do one task well, such as recognising an image, following a route or detecting an object. Robotics has a harder ambition: compact machines that handle many tasks in unpredictable environments while using little power.

Bees offer a working example. During one foraging trip, a bee must find food, stay orientated, avoid danger and update its choices from experience, all with a brain containing around one million neurons. They do this by combining vision, smell, touch, vibration and airflow. Rather than processing every detail, they fuse information streams and extract what matters for survival.

Bees are valuable for robotics because they show how a small system can coordinate many tasks without huge computing power. That principle could guide low-power autonomous systems for agriculture, search and rescue, environmental monitoring and planetary exploration.

Bees also show that intelligence depends not only on what an animal senses, but also on how it moves to gather and shape information. This idea, known as active sensing, could transform robotics. When a bee approaches a flower, it does not take a still image like a camera. It moves its head and body; changes angle and creates patterns of visual motion across its eyes. These movements help useful information stand out, allowing the bee to ignore irrelevant details. This is why bees do not need to remember a flower as a detailed image. They only need to learn the key cues that help them recognise it again. Movement becomes part of sensing.

That is different from many machine-vision systems, which passively analyse images. A small robot using the bee’s strategy would not need to process every pixel. It could move to make the scene easier to understand, shifting position to judge distance, turning to improve contrast or using motion to detect obstacles.

The lesson is simple: intelligence is less about processing everything and more about using the right strategy to find the right information at the right time.

For a foraging bee, a bad decision can be costly. Visiting the wrong flower after a long journey wastes time and energy. Taking too long can mean losing an opportunity or being exposed to danger. To solve this, bees use relatively simple neural circuits to make rapid, accurate and risk-aware decisions. They do not need a huge brain or vast computing power. Instead, this minimal circuit helps them quickly decide whether to reject a flower or land on it safely.

Robotic navigation inspired by honey bee flight.

Navigation without a map

Navigation is another area where bees inspire engineers. Bees can travel several kilometres from the hive to food sources and return home using visual landmarks, distance estimates and memory. New research inspired by honeybee flights has shown how tiny drones could navigate using very small neural networks. In the study, a bee-inspired system called Bee-Nav allowed small robots to travel away from home and return using only a compact neural memory. Therefore, future drones may not need GPS, detailed maps or large onboard computers.

Instead, they may use compact memories of important views and simple movement rules. Such systems could be useful where GPS is unreliable, such as in forests, tunnels, greenhouses or collapsed buildings.

Many future machines, from small drones to farm robots and environmental sensors, will need to act without heavy batteries or constant cloud computing. Like bees, they will need simple navigation strategies that work with limited energy, memory and information.

The real lesson is broader: intelligence does not always require scale. As AI becomes more common in daily life, the bee offers an elegant answer to rising energy demands. For decades, the ambition of AI was to build systems that match the human mind, but the bee shows that smart does not have to mean big.

By mimicking the bee’s ability to learn fast, navigate without maps and integrate multiple sources of information, we may build technology that is more efficient, flexible and resilient.

The Conversation

HaDi MaBouDi does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

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