It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
The article discusses the Raij u framework, an innovative approach that uses reinforcement learning to automate post-exploitation in network systems. The authors argue that understanding the behaviours of attackers after…
Continue readingThe study focuses on the intersection of cybersecurity and AI reproducibility. It introduces a new framework for evaluating AI platforms’ reproducibility from a cybersecurity perspective. Five popular AI platforms were…
Continue readingThe research project led by Amit Mathapati at Cornell University in 2009 aims to create an advanced mathematical model, specifically an Artificial Neural Network (ANN), to improve the early detection…
Continue readingThis research paper provides insights into how children (aged 7-13) value and design AI interfaces, specifically teachable machines. The study involved a co-design session where children and adults participated in…
Continue readingThe paper introduces Video Director GPT, a novel framework for generating consistent multi-scene videos using the knowledge of Large Language Models (LLMs). The process begins with a text prompt, which…
Continue readingThe article introduces DODUO, a method to learn general dense visual correspondence from in-the-wild images and videos without ground truth supervision. Dense visual correspondence plays a critical role in robotic…
Continue readingThe paper, titled ‘Cordyceps@LT-EDI: Patching Language-Specific Homophobia/Transphobia Classifiers with a Multilingual Understanding’, presents a novel approach to detecting homophobia and transphobia in different languages. The approach combines multilingual (M-L) and…
Continue readingThe paper presents a state-of-the-art solution for the LongEval CLEF 2023 Lab Task 2. The goal is to enhance the performance of sentiment analysis models over time by adding temporal…
Continue readingThe paper discusses the importance of understanding the strengths and limitations of large language models (LLMs) and the problems they are trained to solve. The authors argue for a teleological…
Continue readingThe paper introduces ALLURE, a protocol for systematically auditing and improving the accuracy of text evaluation by Large Language Models (LLMs) using iterative In-Context-Learning (ICL). ALLURE audits the evaluation of…
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