查看更多>>摘要：JLS Automation (York, Pennsylvania, United States) has been issued patent number 11884438, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Pickett, Gary (Indian Trail, NC, US). This patent was filed on February 14, 2022 and was published online on January 30, 2024. From the background information supplied by the inventors, news correspondents obtained the following quote: "Product packaging for food provides protection, tampering resistance, and product information of processed food before it is delivered to the consumer.
查看更多>>摘要：According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from biorxiv.org: "Biohybrid robots are emergent soft robots that combine engineered artificial structures and living biosystems to exploit unique characteristics of biological cells and tissues. Skeletal muscle tissue-based bio-actuators can respond to externally applied stimuli, such as electrical fields. "However, current bio-actuation systems rely on open-loop control strategies that lack knowledge of the actuator state. The regulation of output force and position of bio-hybrid robots requires self-sensing control systems that combine bio-actuators with sensors and control paradigms. Here, we propose a soft, fibershaped mechanical sensor based on a composite with piezoresistive properties that efficiently integrates with engineered skeletal muscle tissue and senses its contracting states in a cell culture environment in the presence of applied electrical fields. After testing the sensor insulation and biocompatibility, we characterized its sensitivity for typical strains (＜1%) and proved its ability to detect motions from contractile skeletal muscle tissue constructs. Finally, we showed that the sensor response can feed an autonomous control system, thus demonstrating the first proprioceptive bio-hybrid robot that can sense and respond to its contraction state.
查看更多>>摘要：According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from osf.io: "Generative artificial intelligence (e.g., OpenAI's ChatGPT), is regularly tasked with navigating the complexities of human-to-human interaction, including peer-to-peer mental health support and improving interpersonal emotion regulation within customer service settings. Qualitative findings question whether artificial intelligence deserves a space in this area (e.g., how can robots be empathic?); however, many recent studies indicate that artificial intelligence may improve human-to-human interaction. "In the current study, and across two samples (NGivers = 522; NReceivers = 580; NTotal = 1,102) gathered to detect small effects, we examine a specific use case of generative artificial intelligence in the workplace and whether it can be leveraged to improve prosocial human-to-human messaging above and beyond human-written prompts.
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