Singapore Scientists Seek Power from Darkness through Shadow Energy

Dr. Swee Ching Tan holds a cardboard panel to cast a shadow over the shadow effect generator device next to an electrometer at a lab in the National University of Singapore June 26, 2020. (Reuters)
Dr. Swee Ching Tan holds a cardboard panel to cast a shadow over the shadow effect generator device next to an electrometer at a lab in the National University of Singapore June 26, 2020. (Reuters)
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Singapore Scientists Seek Power from Darkness through Shadow Energy

Dr. Swee Ching Tan holds a cardboard panel to cast a shadow over the shadow effect generator device next to an electrometer at a lab in the National University of Singapore June 26, 2020. (Reuters)
Dr. Swee Ching Tan holds a cardboard panel to cast a shadow over the shadow effect generator device next to an electrometer at a lab in the National University of Singapore June 26, 2020. (Reuters)

Scientists in Singapore are hoping to perfect a new method of power generation driven largely by shadows, with the hope that it could one day help highly urbanized cities power themselves.

The shadow-effect energy generator (SEG) being developed by the National University of Singapore has the potential to harness power like solar cells, but without needing open spaces with uninterrupted light.

To work effectively, the SEG requires both light and dark and, like solar panels, relies on light to shine on silicon to energize electrons.

However, using panels that feature a thin layer of either gold, silver, platinum or tungsten, the difference in light intensity drives electrons from lit areas towards the shade, creating electricity in the shaded areas.

“Our shadow effect generator comes in handy. It can be placed in those areas to harvest obstructed light,” said research team leader Dr. Swee Ching Tan.

The research is still in its early stages yet Tan’s team is already thinking about the potential of establishing a company to make SEG available for home use.

The panels the team have been testing are about 6 sq cm in size and capable of producing just 0.25 volts, meaning about 20 are needed to power a light bulb, or charge a cellphone.

The ideal environment for use would be cities, Tan said, with constantly shifting levels of light and shade throughout the day from clusters of tall buildings and the sun’s changing position in the sky.

“It’s not practical to place solar cells in such cities. So the device might come in handy in places like very densely populated cities, where skyscrapers are everywhere, where shadows are always persistent,” Tan said.



Google Adds SandboxAQ's Quantitative AI Models to Cloud Offerings

The logo of Google is seen outside Google Bay View facilities during the Made by Google event in Mountain View, California, US August 13, 2024. REUTERS/Manuel Orbegozo/File photo
The logo of Google is seen outside Google Bay View facilities during the Made by Google event in Mountain View, California, US August 13, 2024. REUTERS/Manuel Orbegozo/File photo
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Google Adds SandboxAQ's Quantitative AI Models to Cloud Offerings

The logo of Google is seen outside Google Bay View facilities during the Made by Google event in Mountain View, California, US August 13, 2024. REUTERS/Manuel Orbegozo/File photo
The logo of Google is seen outside Google Bay View facilities during the Made by Google event in Mountain View, California, US August 13, 2024. REUTERS/Manuel Orbegozo/File photo

Quantum startup SandboxAQ said its large quantitative models (LQMs) will be available on Google Cloud, the company told Reuters on Tuesday, as cloud providers look to AI tech to fuel growth.

LQMs are designed to handle large-scale numerical datasets, perform complex calculations and statistical analysis, and can be used to develop sophisticated financial models or to automate trading strategies.

The partnership will make it easier for enterprises to use Google Cloud to develop its LQMs and deploy them, allowing Sandbox, a firm spun off from Google-parent Alphabet in 2022, to expand the distribution of its platform to a larger pool of potential customers.

"More than 80% of the economy is run by math and quantitative relationships. And that's where quantitative AI really shines, and it's very complementary to language models," CEO SandboxAQ, Jack Hidary said.

This is the first time Sandbox will have its models available on a third-party platform.

The Palo Alto-based startup secured $300 million in a funding round last month, boosting its valuation to $5.6 billion and was backed by investor firms including Fred Alger Management, T. Rowe Price, and Breyer Capital.

SandboxAQ said its models are used in sectors such as life sciences, financial services and navigation.

Google has been intensifying its efforts in quantum computing and announced in December that it had made significant progress by developing a new generation of quantum chips, overcoming a major challenge in the field.

Microsoft also touted the potential of quantum computing earlier this month and unveiled its "Quantum Ready program", while Nvidia's CEO Jensen Huang said the technology's practical use was likely two decades away.