Scientists from the RIKEN Center for Quantum Computing and Huazhong University of Science and Technology have carried out a theoretical study showing how a “topological quantum battery” could be efficiently designed. This innovative concept uses the topological characteristics of photonic waveguides and the quantum behavior of two-level atoms to storeContinue Reading
University at Albany chemists have created a new high-energy compound that could revolutionize rocket fuel and make space flights more efficient. Upon ignition, the compound releases more energy relative to its weight and volume compared to current fuels. In a rocket, this would mean less fuel required to power theContinue Reading
While it may appear unassuming at first glance, just another spiral galaxy among thousands in the Universe, this subject of this Hubble Picture of the Week has plenty to study. NGC 7456 is its name, located over 51 million light-years away in the constellation Grus (the Crane). In this imageContinue Reading
Traditionally, black holes are usually thought to “reside” at the centers of galaxies. However, a research team led by Dr. AN Tao from the Shanghai Astronomical Observatory of the Chinese Academy of Sciences has discovered a wandering black hole in a dwarf galaxy located about 230 million light-years away (redshiftContinue Reading
Dr. Dong-Soo Han’s research team at the Korea Institute of Science and Technology (KIST) Semiconductor Technology Research Center, in collaboration with the research teams of Prof. Jung-Il Hong at DGIST and Prof. Kyung-Hwan Kim at Yonsei University, has developed a device principle that can utilize “spin loss,” which was previouslyContinue Reading
Artificial Intelligence (AI) can perform complex calculations and analyze data faster than any human, but to do so requires enormous amounts of energy. The human brain is also an incredibly powerful computer, yet it consumes very little energy. As technology companies increasingly expand, a new approach to AI’s “thinking,” developedContinue Reading
The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers at the Technical University of Munich (TUM) have developed a method that is 100 times faster and therefore much more energy efficient. Instead of taking an iterative approach, the parameters areContinue Reading
Engineers at the University of California San Diego have developed a new cooling technology that could significantly improve the energy efficiency of data centers and high-powered electronics. The technology features a specially engineered fiber membrane that passively removes heat through evaporation. It offers a promising alternative to traditional cooling systemsContinue Reading
Oregon State University College of Engineering researchers have developed a more efficient chip as an antidote to the vast amounts of electricity consumed by large-language-model artificial intelligence applications like Gemini and GPT-4. “We have designed and fabricated a new chip that consumes half the energy compared to traditional designs,” saidContinue Reading
Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory of the entire pattern (the song), without you actually havingContinue Reading
