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A team of scientists from King Abdullah University of Science and Technology (KAUST) has revealed their plan to bring a new type of solar cell to the market, one that could revolutionize the field of renewable energy. The solar cell, called a perovskite/silicon tandem, combines two different materials to capture more sunlight and convert it into electricity.

Perovskite is a material that can absorb light very efficiently, while silicon is a material that can maintain its performance for a long time. By stacking them together, the researchers have achieved record-breaking efficiency levels, surpassing the previous limits of single-material solar cells. In 2023, the KAUST team, led by Professor Stefaan De Wolf, reported two world records for power conversion efficiency and five other records achieved by other groups worldwide. This shows the rapid advancement of perovskite/silicon tandem technology and its potential to dominate the solar market.

Year 2014 Basically once the master qubit is found it could even lead to a sorta master algorithm. Also it could show who actually pulls the strings of reality.


Whatever the u-bit is, it rotates quickly (Image: Natalie Nicklin)

Our best theory of nature has imaginary numbers at its heart. Making quantum physics more real conjures up a monstrous entity pulling the universe’s strings

Leader:The u-bit may be omniscient, but it’s no God particle

The key to understanding our universe lies in two theories—one of the generally-very-big and one of the generally-very-small. Albert Einstein’s Theory of General Relativity explains things like gravity and time, while Quantum Field Theory explores the subatomic world. However, one celestial object frustrates astrophysicists and quantum theorists in equal measure: black holes.

Because black holes release Hawking radiation (named for famous physicist Stephen Hawking), they eventually evaporate, which seemingly destroys the information that fell into the black hole. However, quantum field theory states that information cannot be destroyed. Result? Paradox.

One approach to AI uses a process called machine learning. In machine learning, a computer model is built to predict what may happen in the real world. The model is taught to analyze and recognize patterns in a data set. This training enables the model to then make predictions about new data. Some AI programs can also teach themselves to ask new questions and make novel connections between pieces of information.

“Computer models and humans can really work well together to improve human health,” explains Dr. Grace C.Y. Peng, an NIH expert on AI in medicine. “Computers are very good at doing calculations at a large scale, but they don’t have the intuitive capability that we have. They’re powerful, but how helpful they’re going to be lies in our hands.”

Researchers are exploring ways to harness the power of AI to improve health care. These include assisting with diagnosing and treating medical conditions and delivering care.