Quantum researchers finally captured the field’s “holy grail,” showing real machines can beat classical computing exponentially, no caveats required. Credit: Stock Researchers from <span class="glossaryLink" aria-describedby="tt" data-cmtooltip=" USC The University of Southern California is a…
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A rendering of the Oxford University team’s ion trap chip. Credit: Dr. Jochen Wolf and Dr. Tom Harty Oxford scientists have set a world record for quantum precision, achieving just one error in 6.7 million…
A tiny new crystal-based transistor could be the key to faster, more reliable AI chips—leaving traditional silicon designs in the dust. Credit: Shutterstock In a potential turning point for microelectronics, scientists in Tokyo have crafted…
Illustration of the self-illuminating biosensor: A metasurface of gold nanowires drives quantum light emission and concentrates the resulting light waves to detect biomolecules. Credit: 2025 Ella Maru Studio/BIOS EPFL CC BY SA 4.0 Scientists at…
Researchers at Chalmers University of Technology in Sweden have developed a highly efficient amplifier that activates only when reading information from qubits. Credit: Chalmers University of Technology | Yin Zeng | Maurizio Toselli Quantum computers…
iRonCub3 is the technological evolution of previous prototypes and is based on the latest generation of the iCub humanoid robot (iCub3), developed to be teleoperated. It integrates four jet engines, two mounted on the arms…
A new dry electrode technology boosts zinc–iodine battery performance and stability, potentially reshaping how we store energy at scale. Credit: Shutterstock A dry-process zinc-iodine battery from Adelaide offers safer, longer-lasting energy storage with high capacity…
Researchers have created a next-generation supercapacitor by engineering a unique nanoscale fiber structure combining carbon nanotubes and a conductive polymer. This innovation significantly enhances energy storage performance while paving the way for faster, more durable,…
This image shows an artist’s interpretation of new optical processor for an edge device, developed by MIT researchers, that performs machine learning computations at the speed of light, classifying wireless signals in a matter of…
A DGIST research team has developed the world’s first next-generation betavoltaic cell by integrating a carbon-14-based isotope electrode with a perovskite absorber layer. Credit: Stock DGIST scientists created the first practical next-gen betavoltaic cell using…
