A new AI framework developed at Tel-Hai University can detect pain in horses from video while explaining its decisions in ways veterinarians can verify, marking a breakthrough in explainable AI with implications for animal and human healthcare.

A Kyushu University‑led team has provided direct evidence for the electric field long suspected to drive fast chemistry at water surfaces. By trapping water and air inside a carbon nanotube and imaging the interface in 3D, they resolved its shape at the nanoscale. The researchers then deduced forces exceeding classical predictions, consistent with a powerful electric field. This methodology could guide rational design of nanoporous materials for clean energy.

The research team led by materials scientist Ralf Busch from Saarland University is preparing for its first science-in-space mission. If everything goes to plan, from 31 August the researchers will spend one week remotely studying metallic-glass alloys in experiments carried out on board the International Space Station, ISS. Working with the European Space Agency, ESA, and the German Aerospace Center, DLR, the team will investigate the properties of these alloys using hot, levitating droplets. The aim is to obtain new, high-precision data that will help to further improve the material. A follow-up series of ISS experiments involving other alloys is already in preparation. The project is funded by the German Research Foundation, DFG.

A research paper by scientists from Shanghai Jiao Tong University developed and clinically evaluated an artificial intelligence (AI)-enabled wearable ultrasound device for noninvasive estimation of elevated central venous pressure (CVP) by imaging the internal jugular vein (IJV) and common carotid artery (CCA) in acute and critical patients.

The new research paper, published on Aug. 05 in the journal Cyborg and Bionic Systems, has developed an integrated system that combines a wearable ultrasound patch with artificial intelligence to estimate elevated CVP noninvasively from neck vascular imaging.

A research paper by scientists at Shenzhen Institutes of Advanced Technology proposed a single source dual drive flexible knee joint assisted exoskeleton device to assist elderly people in daily walking.

The research paper, published on Aug 11, 2026 in the journal Cyborg and Bionic Systems.

Human beings have a tendency to infer personality or character traits from other people’s facial features, and a study finds that LLMS share these biases.

Multispectral optoacoustic tomography (MSOT) provides useful biochemical and molecular contrast in tissues. However, image quality is often limited by system noise and sparse sampling. We propose the optoacoustic universal denoising network (OA-UDNet), a hybrid diffusion-based framework for sparse MSOT data. The model is trained on more than 250,000 in vivo images. It performs joint denoising and high-fidelity image restoration by combining an edge-aware module with diffusion-based generation to preserve structural boundaries.

Designed to serve startups, established companies, and academic researchers, the facility offers participants access to hard-to-find infrastructure of emerging food technologies and future food products, as well as biomaterials, from prototyping and characterization to  early-stage consumer testing.