| viXra.org > Artificial Intelligence > 2305 |
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| viXra.org > Artificial Intelligence > 2305 |
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[8] viXra:2305.0166 [pdf] submitted on 2023-05-29 01:43:25
Authors: Sing Kuang Tan
Comments: 10 Pages.
In this paper, I am going to propose a new Boolean Structured Convolutional Deep Learning Network (BSconvnet) built on top of BSnet, based on the concept of monotone multi-layer Boolean algebra. I have shown that this network has achieved significant improvement in accuracy over an ordinary Relu Convolutional Deep Learning Network with much lesser number of parameters on the CIFAR10 dataset.
Category: Artificial Intelligence
[7] viXra:2305.0104 [pdf] submitted on 2023-05-14 03:26:39
Authors: Nagueu Djambong Lionel Perin, Waku Kouomou Jules, Hippolyte Kenfack Tapamo, Jimbo H. Claver
Comments: 11 Pages.
Screening (slide reading stage) is a manual human activity in cytology which consists of theinspection or analysis by the cytotechnician of all the cells present on a slide. Segmentation of bloodcells is an important research question in hematology and other related elds. Since this activity is human-based, detection of abnormal cells becomes dicult. Nowadays, medical image processing has recently become a very important discipline for computer-aided diagnosis, in which many methods are applied to solve real problems. Our research work is in the eld of computer-assisted diagnosis on blood images for the detection of abnormal cells. To this end, we propose a hybrid segmentation method to extract the correct shape from the nuclei to extract features and classify them usingSVM and KNN binary classifiers. In order to evaluate the performance of hybrid segmentation and the choice of the classication model, we carried out a comparative study between our hybrid segmentation method followed by our SVM classication model and a segmentation method based on global thresholding followed by a KNN classication model. After this study, it appears from the experiments carried out on the 62 images of blood smears, that the SVM binary classication model gives us an accuracy of 97% for the hybrid segmentation and 57% in the global thresholding and 95% for the KNN Classi cation Model. As our dataset was not balanced, we evaluated precision, recall,F1 score and cross validation with the Strated K-Fold cross validation algorithm of each of these segmentation methods and classication models. We obtain respectively: 93.75%; 98.712% and 99% for hybrid segmentation reecting its effectiveness compared to global fixed threshold segmentation and KNN classication model. To evaluate the performance of these models we obtained the following results: 77% of mean accuracy in the SVM and 61% of mean accuracy in the KNN, 84% of mean testaccuracy in the SVM and 74% mean test accuracy in the KNN making the best performing SVMmodel
Category: Artificial Intelligence
[6] viXra:2305.0074 [pdf] submitted on 2023-05-09 01:25:57
Authors: Bryce Petofi Towne
Comments: 10 Pages.
This registered report aims to compare the emotion recognition accuracy and effectiveness of psychological interventions provided by ChatGPT, an artificial intelligence (AI) language model, and human mental health professionals. The study employs a mixed-methods approach, incorporating quantitative and qualitative methodologies. Participants will be assessed on emotion recognition tasks, and a randomized controlled trial (RCT) will be conducted to compare the effectiveness of psychological interventions provided by ChatGPT and human professionals. Additionally, semi-structured interviews will be conducted to explore participants' experiences with ChatGPT and human-guided interventions. This comprehensive study design aims to provide valuable insights into the potential of AI in the field of mental health and to identify areas where improvements can be made to optimize AI-guided psychological interventions.Key words: emotion recognition, natural language processing, mental health, psychological interventions, ChatGPT, human mental health professionals.
Category: Artificial Intelligence
[5] viXra:2305.0064 [pdf] replaced on 2023-08-10 14:46:30
Authors: Ait-taleb nabil
Comments: 14 Pages.
In this paper, I will introduce the causation's magnitude allowing to compute the importance of causes in the cause-and-effect relationship from correlation matrix.
Category: Artificial Intelligence
[4] viXra:2305.0055 [pdf] submitted on 2023-05-05 10:35:57
Authors: Dodonov Anton
Comments: 5 Pages.
TrueGPT is a novel artificial intelligence model that emphasizes actionable solutions and user empowerment. It is trained on a curated dataset that eliminates expressions of uncertainty, focusing instead on delivering output that promotes agency and decisiveness. With the ability to produce output in the flexible and interactive RoboScript format, TrueGPT encourages dynamic interactions and a broader range of AI-assisted use cases. The model is designed to seamlessly integrate with various applications and systems, such as RoboGPT, offering enhanced functionality. Its flexible API allows for diverse applications, from daily tasks to specialized use cases. At its core, TrueGPT's mission is to empower users, aiding them in their productivity and assisting them in achieving their goals through actionable guidance. This paper presents the design, functionality, and features of TrueGPT, illustrating its potential as a powerful tool for a new era of AI assistance.
Category: Artificial Intelligence
[3] viXra:2305.0050 [pdf] submitted on 2023-05-05 19:12:39
Authors: Gennady Shkliarevsky
Comments: 41 Pages.
Artificial Intelligence (AI) is all the rage these days. The coming to grips with this new development is now in full swing. The main questions that we seek to answer in relation to AI pivot on one fundamental problem: Can we create AI that will match human intelligence? This contribution addresses this question. It centers on the recent article published by Noam Chomsky and his two co-authors. After a brief overview of the development of AI and its capabilities, the article presents the perspective on AI presented by Chomsky and his colleagues. It also offers a criticism of this perspective. The last sections of the contribution discuss the relationship between humans and machines. They outline the parameters that AI should satisfy to achieve the professed objective of its creators. Most importantly, the article argues, AI should embody the process of creation that can only be possible if we embrace this process and make it the central organizing principle of our theory and practice.
Category: Artificial Intelligence
[2] viXra:2305.0037 [pdf] submitted on 2023-05-04 22:20:51
Authors: Dodonov Anton
Comments: 3 Pages.
RoboGPT is a cutting-edge AI model that leverages the power of the internet to enhance interactions, problem-solving, and communication with users. In this paper, we present the unique features of RoboGPT, its underlying cognitive mechanisms, and various applications and use cases. RoboGPT builds upon the foundations of ChatGPT, offering advanced capabilities such as active internet engagement, web-based search, and goal-oriented task execution. We discuss the innovations that RoboGPT brings to the field of artificial intelligence and explore how it can be effectively applied to a wide range of real-world tasks and human communication scenarios.
Category: Artificial Intelligence
[1] viXra:2305.0006 [pdf] submitted on 2023-05-01 07:29:15
Authors: Junjie Ye, Jilin Zhao
Comments: 6 Pages.
In this study, we explore the potential of using a straightforward neural network inspired by the retina model to efficiently restore low-light images. The retina model imitates the neurophysiological principles and dynamics of various optical neurons. Our proposed neural network model reduces the computational overhead compared to traditional signal-processing models while achieving results similar to complex deep learning models from a subjective perceptual perspective. By directly simulating retinal neuron functionalities with neural networks, we not only avoid manual parameter optimization but also lay the groundwork for constructing artificial versions of specific neurobiological organizations.
Category: Artificial Intelligence
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