A team of Carnegie Mellon University researchers has created a system that translates 3-D shapes into stitch-by-stitch instructions for computer-controlled knitting machines. The technology enables the production of customized, on-demand knitted garments with unique patterns and ornamentation.
A new study proposes using AI algorithms to diagnose and treat diseases related to gut microbiota in cancer patients. The technology has the potential to identify new associations and improve understanding of the human microbiota.
A new study from the University of Washington used machine-learning tools to analyze nearly 800 movie scripts, finding subtle but widespread gender bias in portraying male and female characters. The research reveals that women are consistently portrayed in submissive positions with less agency than men, reinforcing stereotypes through ...
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Researchers use simulation tools to analyze and optimize soft robotic systems, increasing their utility through predictive approaches and thermodynamic perspectives. The study highlights the importance of considering machine design and performance in achieving widespread adoption.
Researchers at Argonne National Laboratory have pioneered the use of machine learning to accurately predict the properties of nanomaterials, including thermal conductivity. The study's atomic-level model is more accurate than past models and enables researchers to capture bond formation and breaking events.
Researchers at the University of Washington have released new guidelines to ensure makerspaces are accessible to people with disabilities. The guidelines address unique challenges faced by students with various disabilities, including visual impairments and motor impairments.
The EASE-R3 project aims to increase the longevity of CNC machine tools by developing new and cost-effective systems for repair, renovation, and re-use. The University of Huddersfield team will lead the design and prototype production of a compact module incorporating laser technology to ensure accuracy during renovation.
The €3.9M HARCO project, backed by the European Commission, has successfully developed equipment to reduce vibration levels on machine tools, improving product accuracy and reducing costs.
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A recent study by University of Illinois professor Tim Wentling found that businesses are devoting only a small portion of their training budgets to e-learning efforts. Despite the benefits of online education, many companies are using relatively basic and limited methods for employee training.
Scientists at Max-Planck-Gesellschaft developed a simple electrochemical procedure to fabricate three-dimensional microstructures. The innovation lies in applying ultrashort voltage pulses between the electrodes, which confines the electrochemical reaction to a small region and enables precise micromachining.
A Purdue University engineer is working on software tools that can prevent design conflicts and improve the efficiency of e-workers. The tools use 'neuro-fuzzy' programs to identify conflicts and provide fine details about their nature, enabling a resolution.
The NYU Medical Center is launching a large-scale study to determine the effectiveness of combining CT scans with gene markers in detecting early-stage lung cancer in women. The study aims to identify reliable screening tools for women at high risk of developing this deadly disease.
A new virtual tape measure (VTM) prototype enhances microsurgical precision by providing accurate measurements in real-time, overcoming the limitations of traditional operating microscopes. The VTM uses stereo-video images and computer graphics to enable surgeons to make precise calculations throughout operations.
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