Leaders of the Group of Seven (G7) agreed on Saturday to establish an initiative to counter economic "coercion",

The Group of Seven advanced economies are expected to announce more sanctions against Russia to further hinder its war effort in Ukraine during their summit in Hiroshima, Japan

Toyota has found improper crash tests for a model and suspended shipments, in the latest in a series of embarrassing woes plaguing Japan’s top automaker

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Jeff Bezos' rocket company has won a NASA contract to land astronauts on the moon, two years after losing out to SpaceX

A South Korean firm has announced the world’s first production line for perovskite-silicon tandem solar cells, which promise an increase in efficiency of between 50-75 per cent compared to standard solar panels. The commercialisation of solar cells that use perovskite follows years of breakthroughs with the mineral, which has been hailed as a ‘miracle material’ for its potential to transform various industries, including renewable energy. Seoul-based Qcells said it will invest $100 million to roll out the next-generation solar cell technoloy, which until now has been limited to lab tests and academic research. The investment will fund a pilot production line at a factory in Jincheon, which is projected to be operational by late next year. “This investment in Jincheon will mark an important step in securing technological leadership,” said Qcells CEO Justin Lee. “With a global R&D network spanning from Korea, Germany and the US, Qcells will ramp up its efforts to produce high-efficiency advanced tandem cells.” Tandem solar cells are able to improve the efficiency of standard solar panels by splitting the light spectrum and optimising the harvesting of energy from each section into electricity. The current world record for solar cell efficiency is 32.5 per cent – meaning nearly a third of solar radiation is converted into eletrical energy – which was achieved with a perovskite-silicon tandem cell in December. By comparison, traditional silicon-based solar cells are currently only capable of reaching around 22 per cent efficiency. Qcells has so far succeeded in developing a tandem perovskite solar cell with a 29.3 per cent efficiency, which was achieved earlier this year in collaboration with German research centre Helmholtz-Zentrum Berlin. The results were verified by the US Department of Energy’s National Renewable Energy Laboratory (NREL) Read More Microsoft makes world first nuclear fusion energy deal Quantum computer discovers bizarre particle that remembers its past Nasa says Jeff Bezos will build moon lander to take astronauts to the Moon ChatGPT app launches for iPhone users amid scam frenzy Google to delete Gmail and Photos accounts in huge purge

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Scientists have revealed they had found a way to combine the technology of brain scans and artificial intelligence to transcribe “the gist” of people’s thoughts. Alex Huth, an assistant professor of neuroscience and computing science at the University of Texas at Austin, and a co-author on the new study published in Nature Neuroscience, said that ‘this is a real leap forward.’ The study was led by Huth and Jerry Tang, a doctoral student in computer science. The main development from this study is that it’s non-invasive. This means that subjects do not require surgical implants. Instead, brain activity is measured using a functional magnetic resonance imaging (fMRI) scanner. Sign up to our free Indy100 weekly newsletter In the study, individuals listened to hours of podcasts in the scanner. Then, given the participant’s consent to have their thoughts decoded, they listened to a new story and the machine-generated corresponding texts from brain activity. It’s not a word-for-word transcript. For example, when an individual heard the phrase ‘I don’t have my driver’s licence yet’, the model decoded the individual’s thoughts to read as ‘she has not even started to learn to drive yet.’ Even when participants thought up their own stories, the machine was able to decode their thoughts still. Tang acknowledged that the advancements made in the study had the potential for negative aftermath. Tang said, ‘we take very seriously the concerns that it could be used for bad purposes and have worked to avoid that.’ They ran tests that highlighted that unless the machine had been trained on an individual’s particular brain activity, it could not decode its thoughts. An individual had to allow for the machine to train their brain activity over a long period of time inside a fMRI scanner for it to work. Researchers also found that it was easy to ‘sabotage’ the machine. Three participants were told to tell a different story in their mind, or count by seven, while listening to one of the podcasts. The study highlights even more development with artificial intelligence, after the popularity of OpenAI’s Chat GPT has sparked debate around the potential of AI. Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.