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Interdisciplinary team tackles complexity of clinical data in perioperative care
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Interdisciplinary team tackles complexity of clinical data in perioperative care
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Developing a tool that evaluates button and switch devices from both hardware (through physical input) and software perspectives is the next logical step in the evolution of device testing automation.
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Interdisciplinary team tackles complexity of clinical data in perioperative care
Developing a tool that evaluates button and switch devices from both hardware (through physical input) and software perspectives is the next logical step in the evolution of device testing automation.
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Resilient robot teams juggle competing priorities without deadlock
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For now, at least, machines need humans as much as humans need machines. At this intersection, machine learning (ML) offers intriguing possibilities for managing the billions of end devices that comprise the IoT. ML is a practical, mathematical field.
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UTEP 2022 ends with 12 submissions in the final month. The recent articles covered different areas of technology like smart farming, AI, 3D printing, wind energy, structural engineering, biotechnology, and more. As we eagerly wait for the results, here is an article summarizing the new submissions.
Real-time 3D model creation in motion with Photoneo’s MotionCam-3D enables automated sandblasting/painting of large objects without interruption.
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Before the pandemic, research suggested that adoption of AI (artificial intelligence) and ML (machine learning) in business was increasing at a rate of about 25% per year.
Aaron Johnson’s Robomechanics Lab has developed an open-source software that enables more agile movement in legged robots.
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The student article explains an artificial intelligence-based system to detect human body patterns and movements for multiple targets in real-time to recognize their behaviors and classify them as either normal or abnormal.
In this episode, we talk about how researchers are developing tools to better understand how different microbial communities impact our health in an effort to reverse engineer them and the critical methodology used to 3D print functional heart ventricles.
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The inner child in many of us feels an overwhelming sense of joy when stumbling across a pile of the fluorescent, rubbery mixture of water, salt, and flour that put goo on the map: play dough. (Even if this happens rarely in adulthood.)
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In this episode, we talk about how engineers are tackling the problem of sorting through piles using robotics and a platform that leverages fake data to train robots more efficiently.
MATT overtakes challenges met during the process of testing in-vehicle-infotainment systems using its characteristic adaptability and capabilities to support an effective operation throughout the testing process.
4 minutes read
