Named entity recognition pipeline for knowledge extraction from scientific literature.

Graph-PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph-based representations into genera...

Many discussions of artificial intelligence fail to address deeper questions being raised by advances in developmental biology, neuroscience, bioengineering, and philosophy of mind. Novel beings, inc....

This paper describes the basis for AInsectID Version 1, a GUI-operable open-source insect species identification, color processing, and image analysis software. This paper discusses our methods of al...

Robot-assisted pacemaker lead placement through the coronary sinus enabled cardiac pacing in multiple in vivo studies. When compared with conventional clinical tools, the robot reduced procedural tim....

A novel framework is proposed for simultaneous topology optimization of differentiable and non-differentiable objectives via a data-driven morphology learning approach. As a case study, an optimized ....

CubiX, a wire-driven robot, extends beyond physical limitations by skillfully utilizing the environment. It connects to objects via wires deployed by drones, enabling movement, object manipulation, a....

Machine learning algorithms are extensively used in an increasing number of systems, applications, technologies, and products, both in industry and in society as a whole. In this perspective, we revi...

This article describes the concept, development, and applications of anthropomorphic, artificial shoulder mechanism that is actuated by soft robotic textile. By mimicking the structural and functiona...

The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces stand...

An automated 3D printer for fabricating magnetic soft robots is shown to program 3D magnetizations into a composite elastic resin. Printer parameters, such as geometric resolution and deflection angl...

Taking the calculated Gibbs free energy of oxygen vacancy formation as inputs, an inverse high-throughput machine learning workflow is developed to predict chemical formula of perovskite for chemical....

To accurately develop structure-property relationships in functional macromolecules, it is increasingly important to consider the local chain arrangement in addition to long-range order. It is demons...

Surface plasmon resonance (SPR) assays are crucial in early-stage drug discovery. Using unsupervised learning on 2000 SPR profiles, 177 hits targeting Cytosine-Adenine-Guanine (CAG) repeat DNA, inclu....

The major challenge for a large-scale system is integration and miniaturization. We propose a miniaturized matrix of two-layer soft pneumatic actuators to address the massive interconnection among ac...