伦敦大学学院的索菲·斯科特(Sophie Scott)认为,距离全面翻译大脑信号数据还有很长的路要走。她说:“您可能知道大约350,000个单词,因此这依然使正在使用的演讲的数据集非常有限。” 论文名称:Machine translation of cortical activity to text with an encoder–decoder framework发布...
【新智元导读】由MIT媒体实验室领衔,哈佛、耶鲁、马普所等院所和微软、谷歌、脸书等公司的多位研究者参与的课题组,近日在 Nature 发表了一篇以 “Machine behaviour” 为题的综述文章,宣告 “机器行为学” 这门跨越多个研究领域的新兴学科正式诞生。 人工智能正在成为人类社会的重要组成部分,大量人机伦理问题正在被提出...
Creating the Babel Fish, a tool that helps individuals translate speech between any two languages, requires advanced technological innovation and linguistic expertise. Although conventional speech-to-speech translation systems composed of multiple subsys
neural machine translation (NMT) systems can leverage highly multilingual capacities and even perform zero-shot translation, delivering promising results in terms of language coverage and quality. However, scaling quality NMT requires large volumes of parallel bilingual data, which are ...
由麻省理工学院媒体实验室研究人员领衔,哈佛、耶鲁、马普所等院所和微软、谷歌、脸书等公司的多位研究者参与的课题组,近日在 Nature 发表了一篇以“Machine behaviour”为题的综述文章,宣告“机器行为学”这门跨越多个研究领域的新兴学科正式诞生。本文约12000字。 编译:集智俱乐部翻译组 来源:Nature 原题:Machine behav...
Learning phrase representations using RNN encoder- decoder for statistical machine translation Transformer方法(11种算法模型) 1.Transformer Attention-based models for speech recognition 2.BERT BERT: pre-training of deep bidirectional transformers for language understanding ...
该研究团队近年来一直致力于语音解码的研究,与Facebook等在这一领域有密切合作,相信不久还会有新的成果,值得期待。 原文:Machine translation of cortical activity to text with an encoder–decoder framework 如需原文及补充材料请加we chat :siyingyxf获取,如对思影课程感兴趣也可加此we chat号咨询...
Improving neural machine translation models with monolingual data. In Proc. 54th Annual Meeting of the Association for Computational Linguistics 86–96 (ACL, 2016). Zhang, H., Cissé, M., Dauphin, Y. N. & Lopez-Paz, D. mixup: beyond empirical risk minimization. In Proc. International ...
Machine learning interatomic potentials (MLIPs) describe the interactions between atoms in materials and molecules by learning them from a reference database generated by ab initio calculations. MLIPs can accurately and efficiently predict such interacti
8. Look Backward and Forward: Self-Knowledge Distillation with Bidirectional Decoder for Neural Machine Translation. (from Liang Wang)9. SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models. (from Liang Wang)