Technology

Researchers have been trying to develop more energy-efficient and faster machine learning systems that can replicate the versatile computational abilities of biological neurons for decades. One promising approach has been the use of memristors – electronic components that can store a value by modifying their conductance and then use that value for in-memory processing. However,
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Experts at the University of Oxford and international collaborators have released a new study in Nature Machine Intelligence that addresses the ethical concerns related to the responsibility for outputs generated by large language models (LLMs). LLMs such as ChatGPT pose critical issues regarding the attribution of credit and rights for useful text generation, which differs
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