Explainability plays a pivotal role in building trust and fostering the adoption of artificial intelligence (AI) in healthcare, particularly in high-stakes domains like neuroscience where decisions directly affect patient outcomes.
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13May
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13May
AI has the potential to transform learning, creativity, and productivity. It represents a profound platform shift in technology – like the internet, or the shift to mobile. As with any transformational shift, AI will be (and already is) used for good and for malicious purposes.
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13May
Abstract: Wearable devices such as Apple Watch and Fitbit wristband allow users to track their health statistics around the clock. They have become increasingly popular over the past few years.
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13May
Multimodal Graph Learning (MGL) is an emerging area in machine learning that focuses on graphs whose nodes carry information from different modalities, such as text and image. A central challenge in MGL is integrating these heterogeneous data types, which are not directly comparable.
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14May
Idris is a functional programming language with first-class types, which allow properties to be expressed in the type system, and with an interactive type-driven editor which allows programs to be developed as a formal conversation with the machine.
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15May
*Abstract*
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15May
Mike Gordon’s Higher-Order Logic (HOL) is one of the most important logical foundations for interactive theorem proving. The standard semantics of HOL, due to Andrew Pitts, employs a downward closed universe of sets, and interprets HOL’s Hilbert choice operator via a
global choice function on the universe. -
16May
Large language models (LLMs) are helping millions of users to learn and write about a diversity of issues. In doing so, LLMs may expose users to new ideas and perspectives, or reinforce existing knowledge and user opinions.
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19May
Abstract not available
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20May
Abstract not available