Revolutionary self-sensing electric artificial muscles

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Researchers have made groundbreaking advancements in bionics with the development of a new electric variable-stiffness artificial muscle. This innovative technology possesses self-sensing capabilities and has the potential to revolutionize soft robotics and medical applications. The artificial muscle seamlessly transitions between soft and hard states, while also sensing forces and deformations. With flexibility and stretchability similar …

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What is vibration analysis and how can it help optimize predictive maintenance?

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Vibration analysis (or vibration monitoring) is a powerful diagnostic tool for identifying, monitoring and preventing mechanical failures in rotating and reciprocating machinery. It’s an essential component of predictive maintenance programs, allowing technicians to detect developing problems in equipment before they lead to costly unplanned downtime or catastrophic failures. Vibration analysis—a component of condition monitoring systems—utilizes …

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Google at ACL 2023

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Malaya Jules, Program Manager, Google This week, the 61st annual meeting of the Association for Computational Linguistics (ACL), a premier conference covering a broad spectrum of research areas that are concerned with computational approaches to natural language, is taking place online. As a leader in natural language processing and understanding, and a Diamond …

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GPT detectors can be biased against non-native English writers

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Researchers show that computer programs commonly used to determine if a text was written by artificial intelligence tend to falsely label articles written by non-native language speakers as AI-generated. The researchers caution against the use of such AI text detectors for their unreliability, which could have negative impacts on individuals including students and those applying …

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On the Stepwise Nature of Self-Supervised Learning

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

Figure 1: stepwise behavior in self-supervised learning. When training common SSL algorithms, we find that the loss descends in a stepwise fashion (top left) and the learned embeddings iteratively increase in dimensionality (bottom left). Direct visualization of embeddings (right; top three PCA directions shown) confirms that embeddings are initially collapsed to a point, which then …

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