Researchers from UNamur and Stanford have developed a compact, energy-efficient photonic device that steers light using twisted crystal layers. This innovation enables precise beam control, potentially revolutionizing satellite tracking, VR headsets, lasers, and quantum computing. The breakthrough uses fast simulations and machine learning to optimize design, offering a powerful new tool in light manipulation.

Artificial intelligence (AI) is reshaping diverse fields in science, with molecular science being no exception. A recent study published in Research (Science Partner Journal) reports S²ALM, a powerful AI tool which uses a step-wise learning approach for a detailed analysis of antibodies. Using both 1D sequence and 3D structural data for antibody learning, the developed model outperforms prior models across key tasks, advancing antibody design for various diseases and redefining the future of therapeutic development.

CU Boulder engineer Nicole Xu fits moon jellyfish with microelectronic devices that enhance their natural swimming ability and will one day be able to gather data.

A new, AI-powered training method created by UC Berkeley researchers helps robots learn complex tasks with startling speed and accuracy. The protocol combines human demonstrations and feedback with the robot’s own real-world attempts to help it master tasks such as assembling a computer motherboard, building a shelf or even “Jenga whipping” with a 100% success rate within a matter of hours.

A research team co-led by Prof. WANG Faming from the South China Botanical Garden of the Chinese Academy of Sciences, along with collaborators from University of Bremen and Harvard University, has discovered that heat can "awaken" this ancient carbon, converting it into a food source for microbes living far below the seafloor. Published in Science Advances on August 20, the findings reshape scientific understanding of both life in extreme environments and the deep Earth's carbon cycle.