Fake or the real thing? How AI can make it harder to trust the pictures we see
Peer-Reviewed Publication
Updates every hour. Last Updated: 24-Apr-2026 03:17 ET (24-Apr-2026 07:17 GMT/UTC)
A new study has revealed that artificial intelligence can now generate images of real people that are virtually impossible to tell apart from genuine photographs. Using AI models an international partnership of researchers created highly realistic images of both fictional and famous faces, including celebrities. They found that participants were unable to reliably distinguish them from authentic photos—even when they were familiar with the person’s appearance.
The research group led by Prof. Young-Jin Kim has demonstrated a nanometer-resolution displacement sensing methodology by actively modulating deep-UV beams generated via third-harmonic conversion of an 800 nm femtosecond laser. Instead of manipulating the deep-UV beam directly, the fundamental near-IR beam was pre-modulated and its phase profile was coherently transferred to the generated deep-UV harmonic, enabling stable and real-time control in an absorption-dominated wavelength region where conventional modulators do not operate. The team further realized high-visibility periodic beam patterns and tuned their pitch and orientation to induce moiré amplification against semiconductor periodic patterns, detecting displacement signals that were invisible to direct optical imaging. The demonstration provides a first practical route to active beam modulation-based precision metrology in the deep-UV band and is expected to extend toward EUV and X-ray regimes for future 3 nm node linewidth metrology, attosecond science, and real-time bio-imaging applications. This study has been published in PhotoniX (Q1, IF 19.1) on November 6 and supported by the National Research Foundation of Korea.
The grant from the U.S. Army Corps of Engineers will enable researchers to study dry-season prey concentrations in the Florida Everglades. The project will collect and analyze data on aquatic prey and habitat conditions to reveal the key factors driving wading bird nesting success. By identifying when and where prey concentrate during the dry season, the research will fill a critical knowledge gap, guiding restoration under the Comprehensive Everglades Restoration Plan and supporting strategies to protect the Everglades’ iconic wildlife.
Carbon fibers (CFs) are advanced materials that benefit various applications, including light-weight components for aircraft, automobiles and wind turbine blades. At present, the predominant feedstock is expensive polyacrylonitrile. A team of scientists used cheap coal and waste plastics to produce liquefied coals, which were subsequently fabricated into general-purpose and high-performance carbon fibers. This process has the potential to decrease the price of CFs and contribute to environmental and economic sustainability. Their work is published in Industrial Chemistry & Materials on October 3, 2025.
Researchers from the South China University of Technology, Jihua Laboratory, and Jilin University have developed a new way to make deep-blue OLED (organic light-emitting diode) devices more efficient without compromising on color quality.
The Korea Research Institute of Standards and Science (KRISS, President Lee Ho Seong) has successfully observed, for the first time, the multiple freezing-melting process of water under ultrahigh pressure exceeding 2 gigapascals (2 GPa) at room temperature on a microsecond (μs, one-millionth of a second) timescale.
This breakthrough led to the world’s first discovery of a previously unknown crystallization pathway of water and a new 21st ice phase, named Ice XXI.