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Why you need to learn AI in 2024

โ€˜Thereโ€™s a huge opportunity now, open to a wider community of people who perhaps are not hardcore AI guys, but they can leverage the power of AI just by interfacing with APIs.โ€™ โ€“ David Bombal As we progress further into the digital era, knowledge of Artificial Intelligence (AI) and Machine
Yoshua Bengio Aaron Courville David Bombal Ian Goodfellow Artificial Intelligence Machine Learning

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Nikon Zf review

The vintage-styled Nikon Zf mirrorless isnt just a pretty face, -10EV autofocusing sensitivity and the widest ISO range in Nikons Z-series cameras makes this an astro performer.
Deep Learning
Source: space.com

"Sarcasm Relation to Time: Sarcasm Detection with Temporal Features and" by Md Saifullah Razali, Alfian Abdul Halin et al.

This paper presents a deep learning-based framework to detect sarcasm in relation to time. Deep N-gram features generated using the FastText algorithm, combined with temporal handcrafted temporal features are used to train several machine learning classifiers. Experimental results show that Logistic Regression performs the best among all the classifiers. The introduction of the handcrafted temporal features has also whosn to improve overall detection performance when compared to existing works i...
Logistic Regression Deep Learning Natural Language Processing Sarcasm Detection Sentiment Analysis Emporal Features
Source: uow.edu.au

"Towards automating self-admitted technical debt repayment" by Abdulaziz Alhefdhi, Hoa Khanh Dam et al.

Context: Self-Admitted Technical Debt (SATD) refers to the technical debt in software that is explicitly flagged, typically by the source code comment. The SATD literature has mainly focused on comprehending, describing, detecting, and recommending SATD. Most recently, there have been efforts to study the state of the code before and after removing the SATD comment. While these efforts serve as a preliminary step towards the repayment of SATD, actual attempts towards automating SATD repayment, t...
Self Admitted Technical Debt Technical Debt Deep Learning Self Admitted Technical Debt Software Analytics Software Maintenance
Source: uow.edu.au

"SmartEagleEye: A Cloud-Oriented Webshell Detection System Based on Dyn" by Xin Liu, Yingli Zhang et al.

Compared with traditional environments, the cloud environment exposes online services to additional vulnerabilities and threats of cyber attacks, and the cyber security of cloud platforms is becoming increasingly prominent. A piece of code, known as a Webshell, is usually uploaded to the target servers to achieve multiple attacks. Preventing Webshell attacks has become a hot spot in current research. Moreover, the traditional Webshell detectors are not built for the cloud, making it highly diffi...
Operation Code Deep Learning Eb Security
Source: uow.edu.au

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