On the other hand, artificial question-answering agents are modeled by QA-machines, which are Turing machines that can access a predefined, potentially infinite knowledge base ('advice') and have a bounded amoun
but we will still touch up on the basic concepts for the sake of completeness. Recurrent neural networks take in sequential inputs and predict the next element in the sequence depending on the data they’ve been trained on. Vanilla recurrent networks would, based on the input provided, process...
3.12 A universal prefix-free binary Turing machine 3.13 Binary coding of register machine programs 3.14 Programming techniques 3.15 A complexity measure for Π1-statements 3.16 Concrete complexities 4. Sagacious Applications of the Halting Theorem ...
Single Bacteria as Turing Machines In Allan Turing's famous 1950 paper on Computing Machinery and Intelligence, he started with the provocative statement: ``I propose to consider the question, `Can machines think?' This should begin with definitions of the meaning of the ... J Bos,Q Zang,S...
Check out the 3-D visualization tool for a CNN-based network trained on MNIST data for hand-written digit recognitionhere. Source CNNs have evolved into deeper and more complicated architectures which are widely used for downstream tasks like classification, object detection, and image segmentation....
We wish to assess IndicBART on these NLG tasks: Neural Machine Interpretation (NMT) [32, 35] and summarization for a reply. Our tests on NMT for the Marathi language question- answer pairs and summarization of the same in the MARathi dialect utilizing fine-tuning approach [36, 38, 39]. ...
We are excited to announce that question answering is now generally available as a feature within Azure Cognitive Service for Language. As part of our AI at Scale initiative across Microsoft, we are ... with custom question answering for. ...
(2019) A survey on machine reading comprehension. J Beijing Univ Posts Telecommun 42:1 Huang Z, Xu S, Hu M et al (2020) Recent trends in deep learning based open-domain textual question answering systems. IEEE Access 8:94341–94356.https://doi.org/10.1109/ACCESS.2020.2988903 ...
The CEO of a large AI model company at the WAIC told Jiemian News that, unlike the logical reasoning of "dialogue robots" based on software platforms or higher-level "generative emergence," commercially active robots and industrial robots primarily follow an automation control route required for so...
Kafle K, Kanan C (2016) Answer-type prediction for visual question answering. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp 4976–4984 Kafle K, Kanan C (2017a) An analysis of visual question answering algorithms. In: 2017 IEEE international conference on...