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Does a Library Exist for Data Cleaning Prior to Tokenization? Introducing the Unstructured Library for Effortless Pre-Tokenization Purification.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 10, 202443Views0Likes0Comments
The process of data cleaning is a crucial step in Natural Language Processing (NLP) tasks, particularly before tokenization and when dealing with text data that contains unusual word separations like underscores, slashes, or other symbols in place of spaces. The reason for its importance is that tokenizers often depend on spaces to split text into…

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AnchorGT: An Innovative Attention Mechanism for Graph Transformers Providing a Versatile Component to Enhance Scalability Across Various Graph Transformer Models

AI Paper Summary, AI Shorts, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 10, 202440Views0Likes0Comments
The standard Transformer models in machine learning have encountered significant challenges when applied to graph data due to their quadratic computational complexity, which scales with the number of nodes in the graph. Past efforts to navigate these obstacles have tended to diminish the key advantage of self-attention, which is a global receptive field, or have…

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Physicians face more challenges in identifying illnesses when examining images of skin with darker pigmentation.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 10, 202438Views0Likes0Comments
A new study from the Massachusetts Institute of Technology (MIT) suggests that doctors are less accurate when diagnosing skin conditions on darker skin tones based solely on images. The study, which involved more than 1,000 dermatologists and general doctors, revealed that only 34% of images displaying darker skin were accurately diagnosed by dermatologists, compared to…

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An improved method for regulating the transformation of flexible robots.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Research, Robotics, Robots, School of Engineering, UncategorizedMay 10, 202444Views0Likes0Comments
Scientists at MIT have been working on the design and control of a reconfigurable, squishy, soft robot, similar in nature to 'slime', that has potential applications in healthcare, wearable devices and industrial systems due to its ability to shape-shift to complete varying tasks. These soft robots currently only exist in labs and do not possess…

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