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Intelligent robot systems: a survey from the perspective of visual intelligence

Visual Intelligence
Intelligent robots have seen significant advancements over the past few decades, with notable developments in recent years. The integration of artificial intelligence into robotics is transforming the manufacturing, agricultural, and healthcare ...
Hengcan Shi, Wen Liu, Zheng Li, Xinpu Fang, Xiangfeng Meng, Weixing Peng, Hang Zhong, Min Liu, Yaonan Wang   +8 more
doaj   +1 more source

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions

Engineering
The release of the generative pre-trained transformer (GPT) series has brought artificial general intelligence (AGI) to the forefront of the artificial intelligence (AI) field once again.
Yujia Peng, Jiaheng Han, Zhenliang Zhang, Lifeng Fan, Tengyu Liu, Siyuan Qi, Xue Feng, Yuxi Ma, Yizhou Wang, Song-Chun Zhu   +9 more
doaj   +1 more source

Generality in artificial intelligence

Communications of the ACM, 1987
My 1971 Turing Award Lecture was entitled "Generality in Artificial Intelligence." The topic turned out to have been overambitious in that I discovered I was unable to put my thoughts on the subject in a satisfactory written form at that time. It would have been better to have reviewed my previous work rather than attempt something new, but such was ...
openaire   +3 more sources

Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods

Journal of Big Data
This paper proposes an intelligent hybrid model that leverages machine learning and artificial intelligence to enhance the security of Wireless Sensor Networks (WSNs) by identifying and preventing cyberattacks.
Mohamed H. Behiry, Mohammed Aly
doaj   +1 more source

Enhancing anomaly detection in IoT-driven factories using Logistic Boosting, Random Forest, and SVM: A comparative machine learning approach

Scientific Reports
Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments.
Mohammed Aly, Mohamed H. Behiry
doaj   +1 more source

Causal Inference Meets Deep Learning: A Comprehensive Survey

Research
Deep learning relies on learning from extensive data to generate prediction results. This approach may inadvertently capture spurious correlations within the data, leading to models that lack interpretability and robustness.
Licheng Jiao, Yuhan Wang, Xu Liu, Lingling Li, Fang Liu, Wenping Ma, Yuwei Guo, Puhua Chen, Shuyuan Yang, Biao Hou   +9 more
doaj   +1 more source

Artificial Intelligence Chatbots, High-Tech Plagiarism, and Academic Publishing Integrity Conundrum: Are Local Journals in Africa Ready?

, 2023

openalex   +1 more source

Artificial intelligence as a new tool for combating crimes in the economic sphere

, 2023
D.Z. Chaikovskyi
openalex   +1 more source

Artificial intelligence [PDF]

Psychological Medicine, 1981
openaire   +2 more sources

Hybrid transformer-CNN model for accurate prediction of peptide hemolytic potential

Scientific Reports
Hemolysis is a crucial factor in various biomedical and pharmaceutical contexts, driving our interest in developing advanced computational techniques for precise prediction.
Sultan Almotairi, Elsayed Badr, Ibrahim Abdelbaky, Mohamed Elhakeem, Mustafa Abdul Salam   +4 more
doaj   +1 more source