Information blooming and Internet bring opportunities and challenges to translation teaching.This paper analyses the influence of information society on translation teaching from the following aspects: 1. The traditio...Information blooming and Internet bring opportunities and challenges to translation teaching.This paper analyses the influence of information society on translation teaching from the following aspects: 1. The traditional translation criterion of “be faithful to the original author” being challenged; 2. Diversification of translation object; 3. The change in translation ways and means; 4. “machine translation system” and translation teaching; 5. The development of electronic textbooks. Therefore, as teachers of translation, we should continuously study new knowledge and new technology as well as use computer proficiently. [展开更多
In recent years,AI(artificial intelligence)has made considerable strides,transforming a number of industries and facets of daily life.However,as AI develops more,worries about its potential dangers and unforeseen repe...In recent years,AI(artificial intelligence)has made considerable strides,transforming a number of industries and facets of daily life.However,as AI develops more,worries about its potential dangers and unforeseen repercussions have surfaced.This article investigates the claim that AI technology has broken free from human control and is now unstoppable.We look at how AI is developing right now,what it means for society,and what steps are being taken to reduce the risks that come with it.We seek to highlight the need for responsible development and implementation of this game-changing technology by examining the opportunities and challenges that AI presents.展开更多
Fingerprint matching,spoof mitigation and liveness detection are the trendiest biometric techniques,mostly because of their stability through life,uniqueness and their least risk of invasion.In recent decade,several t...Fingerprint matching,spoof mitigation and liveness detection are the trendiest biometric techniques,mostly because of their stability through life,uniqueness and their least risk of invasion.In recent decade,several techniques are presented to address these challenges over well-known data-sets.This study provides a comprehensive review on the fingerprint algorithms and techniques which have been published in the last few decades.It divides the research on fingerprint into nine different approaches including feature based,fuzzy logic,holistic,image enhancement,latent,conventional machine learning,deep learning,template matching and miscellaneous tech-niques.Among these,deep learning approach has outperformed other approaches and gained significant attention for future research.By reviewing fingerprint literature,it is historically divided into four eras based on 106 referred papers and their cumulative citations.展开更多
文摘Information blooming and Internet bring opportunities and challenges to translation teaching.This paper analyses the influence of information society on translation teaching from the following aspects: 1. The traditional translation criterion of “be faithful to the original author” being challenged; 2. Diversification of translation object; 3. The change in translation ways and means; 4. “machine translation system” and translation teaching; 5. The development of electronic textbooks. Therefore, as teachers of translation, we should continuously study new knowledge and new technology as well as use computer proficiently. [
文摘In recent years,AI(artificial intelligence)has made considerable strides,transforming a number of industries and facets of daily life.However,as AI develops more,worries about its potential dangers and unforeseen repercussions have surfaced.This article investigates the claim that AI technology has broken free from human control and is now unstoppable.We look at how AI is developing right now,what it means for society,and what steps are being taken to reduce the risks that come with it.We seek to highlight the need for responsible development and implementation of this game-changing technology by examining the opportunities and challenges that AI presents.
基金This work was supported by the National ICT R&D(NICTRDF/NGIRI/2012-13/Corsp/3)University of Management&Technology,Pakistan.
文摘Fingerprint matching,spoof mitigation and liveness detection are the trendiest biometric techniques,mostly because of their stability through life,uniqueness and their least risk of invasion.In recent decade,several techniques are presented to address these challenges over well-known data-sets.This study provides a comprehensive review on the fingerprint algorithms and techniques which have been published in the last few decades.It divides the research on fingerprint into nine different approaches including feature based,fuzzy logic,holistic,image enhancement,latent,conventional machine learning,deep learning,template matching and miscellaneous tech-niques.Among these,deep learning approach has outperformed other approaches and gained significant attention for future research.By reviewing fingerprint literature,it is historically divided into four eras based on 106 referred papers and their cumulative citations.
