Enhanced phase-shifting technique captures 3D shapes of moving objects with high precision
Reports and Proceedings
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 30-Dec-2025 20:11 ET (31-Dec-2025 01:11 GMT/UTC)
Researchers at the Institute of Science Tokyo have developed a groundbreaking neural-network-based 3D imaging technique that can precisely measure moving objects—a task long considered extremely challenging for conventional optical systems. Presented at the International Conference on Computer Vision (ICCV) 2025, the new neural inverse rendering method reconstructs high-resolution 3D shapes using only three projection patterns, enabling dynamic 3D measurement across diverse applications in manufacturing inspection, digital twin modeling, and performance capture in visual production.
- A lab-based screening has discovered over 150 common industrial chemicals, from pesticides to flame retardants, that have a toxic effect on bacteria found in the healthy human gut microbiome.
- These chemicals stifle the growth of gut bacteria thought to be vital for health.
- Some species of gut bacteria develop antibiotic resistance as they try to resist the effects of the chemicals.
- Researchers have used their data to create a machine learning tool to predict which chemicals might affect the human gut microbiome.An image-only artificial intelligence (AI) model for predicting the five-year risk of breast cancer provided stronger and more precise risk stratification than breast density assessment, according to a new study being presented next week at the annual meeting of the Radiological Society of North America (RSNA).
Artificial intelligence (AI) tools designed to automatically document patient visits show promise in reducing the time physicians spend on paperwork and may improve their work experience, according to a new randomized clinical trial conducted at UCLA Health.
Developing effective, versatile, and high-precision sensing interfaces remains a crucial challenge in human–machine–environment interaction applications. Despite progress in interaction-oriented sensing skins, limitations remain in unit-level reconfiguration, multiaxial force and motion sensing, and robust operation across dynamically changing or irregular surfaces. Herein, we develop a reconfigurable omnidirectional triboelectric whisker sensor array (RO-TWSA) comprising multiple sensing units that integrate a triboelectric whisker structure (TWS) with an untethered hydro-sealing vacuum sucker (UHSVS), enabling reversibly portable deployment and omnidirectional perception across diverse surfaces. Using a simple dual-triangular electrode layout paired with MXene/silicone nanocomposite dielectric layer, the sensor unit achieves precise omnidirectional force and motion sensing with a detection threshold as low as 0.024 N and an angular resolution of 5°, while the UHSVS provides reliable and reversible multi-surface anchoring for the sensor units by involving a newly designed hydrogel combining high mechanical robustness and superior water absorption. Extensive experiments demonstrate the effectiveness of RO-TWSA across various interactive scenarios, including teleoperation, tactile diagnostics, and robotic autonomous exploration. Overall, RO-TWSA presents a versatile and high-resolution tactile interface, offering new avenues for intelligent perception and interaction in complex real-world environments.
To enhance the electrochemical performance of lithium-ion battery anodes with higher silicon content, it is essential to engineer their microstructure for better lithium-ion transport and mitigated volume change as well. Herein, we suggest an effective approach to control the micropore structure of silicon oxide (SiOx)/artificial graphite (AG) composite electrodes using a perforated current collector. The electrode features a unique pore structure, where alternating high-porosity domains and low-porosity domains markedly reduce overall electrode resistance, leading to a 20% improvement in rate capability at a 5C-rate discharge condition. Using microstructure-resolved modeling and simulations, we demonstrate that the patterned micropore structure enhances lithium-ion transport, mitigating the electrolyte concentration gradient of lithium-ion. Additionally, perforating current collector with a chemical etching process increases the number of hydrogen bonding sites and enlarges the interface with the SiOx/AG composite electrode, significantly improving adhesion strength. This, in turn, suppresses mechanical degradation and leads to a 50% higher capacity retention. Thus, regularly arranged micropore structure enabled by the perforated current collector successfully improves both rate capability and cycle life in SiOx/AG composite electrodes, providing valuable insights into electrode engineering.