{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Through The Eyes Of Artificial Intelligence","metadata":{}},{"cell_type":"markdown","source":"       Author: Monica Susan P","metadata":{}},{"cell_type":"markdown","source":"\nThe world as we know has witnessed remarkable growth in AI[1] Through a span of more than 60 years, the field of artificial intelligence has evolved consistently all thanks to the meticulous effort from scientists and industry experts from various fields. With AI becoming more sophisticated and complex it is bound to have a profound impact in every industry. The essay briefly covers the background information about AI in the field of image and video before delving into an in-depth meta-analysis of research articles and kaggle competitions between May,2021 and May,2023.  \n\n# The Advent of AI\n \nComputers were principally designed with the intent to automate mathematical calculations[2]. The inability of computers to handle ambiguous and contextual data like images and video further led to the concept of computer vision[3]. The field comprises tasks to obtain valuable information from real-world images which would then have real-world applications. The strides in computer vision are seen as a stepping stone to Artificial Intelligence. \nIn 1956, the term “Artificial Intelligence” was coined by John McCarthy at a Dartmouth conference[1] Subsequently,  substantial research has been done to enhance the problem-solving abilities and decision-making capabilities of a computer. With the high availability of data and computing resources, scientists and engineers were successful in expanding the horizon of deep learning applications.  Artificial Intelligence is something very exciting since it has the potential to revolutionize all major areas of research. \n\nThis rapid growth can be attested to few factors like:\n\n**A**ccessibility: The availability of open source technologies and platforms helped in creating a solid community with a common goal to create, clarify and continue experimenting in this bold new field of technology. Cloud services were also responsible for universal scaling of AI applications. \n\n**B**ig Data:  The adaptation of technology in all major disciplines led to the explosion of data commonly referred to as the BigData[1]. Typically sized between 10Tb and 100Pb of data, this huge data needs to be processed, analyzed, and visualized. The implementation of these processes led to better data management.\n\n**C**omputational  Power: The choice of GPUs over traditionally used CPUs was a game changer in this segment. GPUs are capable of handling multiple computations simultaneously which reduces the time taken to previously train these machines. \n\n**D**eep Learning: The convenience in computational power gave a much-needed push to AI to train on a large data resulting in machines highly complex and capable[4]. The advances in deep learning are a primary reason for the deployment of complex AI systems. \n\n**E**nhanced Efficiency:  With the advent of Big Data arose the need for accurate and efficient data processing. Data labelling is a crucial task in data understanding that can enhance decision-making while training AI systems. \n\n","metadata":{}},{"cell_type":"markdown","source":"# The Vision of AI\n\nThe process of collecting, classifying, and comprehending visual data is computer vision. It is inspired by the human eye to identify objects, people, and patterns from surroundings. All computer vision systems are trained to learn from a large database( containing millions of annotated images) and subsequently tested to have their performances quantified. \nThe intervention of deep learning methodology in deriving intelligent systems of high capability paved the way for advanced and complex computer vision tasks. From being initially experimented in the 1960s[1], the field of computer vision has evolved cosistently and rightly so as one of the fastest growing category for research in 2021.\n\n![Screenshot 2023-07-17 011632.jpg](attachment:a6545ad6-4599-4fe5-b378-540698c45cd3.jpg)\n\n             Figure(8) Source[37]\n \nConsequntly computer vision finds applications in several fields like medical imaging[9], autonomous driving vehicles[8], surveillance and robotics. With such a vast scope it is crucial to properly address concerns over the authentic use of biometrics and other privacy issues with computer vision applications. There are still few limitations these systems need to overcome in terms of effectiveness. In summary computer vision continues to advance thanks to growing research in deep learning and hence playing a crucial role in AI advancement.\n\n# The Mind of AI\n     \nMachine learning is a term introduced by Arthur Samuel in 1959 to define a field in AI [4]. This subset of AI facilitates a direct approach to learning from structured data. An aspect of machine learning is the Deep Learning framework.  A mechanism of mimicking the human brain, deep learning constitutes a combination of several layers of networks(artificial neural networks)  that are trained to carry out decision-making on large unstructured data. This data-driven approach promotes high accuracy and greater scalability while deploying systems. Machine learning is constituted of several sub-fields and application specific methodologies, one of which is computer vision. This field has become the popular choice in  modern research [37]. The cumulative discoveries in major disciplines of science and technology saw a paradigm shift in the capacity, capability, and compatibility of deep learning frameworks. The two most in-demand and fundamental models for deep learning in computer vision are  convolutional neural networks(CNNs)[4] and transformers[3]. \n\n**Convolutional Neural Networks(CNNs)**\n\nCNNs have been considered the backbone for image related tasks since many years[3]. They follow a network architecture consisting of convolutional layers that extract features from an input image, filter and classify them. Depending on the data used to train, these models have shown remarkable performance benchmarks on a range of vision tasks. Their computational efficiency makes them suitable for large-scale image recongition. Figure(1) shows the working architecture of a simple CNN. Convolutional neural networks(CNNs) belonging to deep learning frameworks have been used extensively for image recognition tasks since 2012. With the steady interventions of deep learning architectures, higher accuracy and wider applications of AI was feasible.\n\n![Screenshot 2023-07-17 011920.jpg](attachment:975eb9da-92b5-4308-b497-9e97b27b1d2e.jpg)\n\n            Figure(1)Source[6]\n            \n**Transformers**\n\nTransformer operates on patches of the image instead of a single pixel. These patches are then projected and procesed by transformer-encoder layers[3]. Their success in image recognition tasks made them an ideal choice for video recognition as well. The architecural design of transformers enables them to excel at capturing global context. \n\n![Screenshot 2023-08-02 105324.jpg](attachment:360a31cc-b506-4428-a91a-dde4e795f985.jpg)\n\n\n                  Figure(9) Source [38]\n                \nVision transformers [19] leveraging transformer architecture for image classification have surpassed traditional CNNs on few benchmarks.They are also versatile with other aspects of computer vision like object detection, instance segmentation, and image generation. There are also hybrid models which take advantage of both these architectures to implement state-of-the-art computer vision solutions. 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"}}},{"cell_type":"markdown","source":"\n# The Impact of AI\n \nStated below are a worthy mention of several advancements in AI  applications using image and video from 2021-2023\n\n**Image and Video Super-Resolution**\n\nThe introduction of deep learning algorithms like convolutional neural networks were proven to be highly beneficial for enhancing the quality of images. Image super-resolution is the process of amplifying the resolution of low-quality images to generate a high-resolution image[7] A recent model, SR3 was introduced by the Google Brain Research team in 2021 that has rendered amazing results compared to other techniques. \n\n![Screenshot 2023-07-16 203615.jpg](attachment:151dd459-0713-4f61-9a97-4180dcc07b96.jpg)\n\n                    Figure(2) Source[7]\n\nThis feature to produce high clarity and appealing visual content is applied in the entertainment industry  with demonstrated achievements in the creation, enhancement, and preservation of creative content.\n\n\n","metadata":{},"attachments":{"151dd459-0713-4f61-9a97-4180dcc07b96.jpg":{"image/jpeg":"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"}}},{"cell_type":"markdown","source":"**Autonomous Driving Vehicles:**\n\nThe task of identifying objects in image and video is called object detection. It is one of the fundamental task in autonomous driving. The capacity to drive and naviagate roads without human intervention is referred to as autonomous driving. Image processing and video analysis play a central role in self-driving cars. Using deep learning frameworks large amounts of data is collected by sensors and cameras. The machine is then programmed to train on this data to continously detect objects in the environment like traffic signs, pedestrians and a bunch of other obstacles and make accurate decision-making. Figure(3) displays object detection performed by an autonomous vehicle in a real-world use case. ALthough these unmanned vehicles have been reported to be adopted widely, high-level scrutinization should be mandatory.\n\n![Screenshot 2023-07-15 231338.jpg](attachment:453b89f9-5171-4f7c-b955-2ab08f35a3b5.jpg)\n\n**Medical Imaging**\n\nThe tools and techniques used for scanning and visualizing the condition of various organs in the human body is termed medical imaging. AI techniques, mainly deep learning methods have permeated this field resulting in accurate disease diagnosis and effective patient-monitoring. Common technologies in medical image are Chest X-ray, MRI and the ultrasound. Figure(4) shows a deep learning model DLAD-10[9] identifying 10 types of chest abnormalities. Being trained on high-resolution medical imagery, artificial intelligence can display accuracy in detection of abnormalities on par with doctors.Overall the synergy between image and video analysis by both doctors and AI can be life-saving.\n \n ![Screenshot 2023-07-15 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"}}},{"cell_type":"markdown","source":"**Text-to-Image AI Generators**\n\n\nDeep learning models have powered the generation of realistic and high-resolution images using both natural language processing and image synthesis. Tasks like image classification, text detection and pattern recognition work in the background to meaningfully produce relevant images. AI models are also capable to generate videos in a similar way from text inputs.  Figure (6) shows various images for the prompt: Painting of a person in a grocery store in 4 settings. This ability to produce lofty art within a short time frame has captivated the imagination of many about the many possibilities of AI.\n\n![Screenshot 2023-07-15 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Meta-Analysis: Assessing Advancements in Image Recognition\n\nThis section deals with the steps followed to analyze the recent developments in image recognition. By exploring their advancements, we can gain insight into the current capabilities and trends in this exciting field of research.  A comprehensive and unbiased selection of  15  scientific papers, implementing various deep learning techniques that were prominent to the growth of AI have been compared, analyzed, and summarized. By examining these factors, the study offers insights into the strengths and limitations of each framework, allowing for a comprehensive evaluation of their effectiveness in different computer vision tasks. The analysis sheds light on the recent state-of-the-art approaches, enabling researchers and practitioners to make informed decisions when selecting a framework for their specific application. \n\n**Criteria for Inclusion/ Exclusion**\n\n1. Accuracy as an output measure and Image classification as an input measure which means all techniques are compared on the basis of their performance on image classification tasks.\n\n1. To mitigate bias from varying sample sizes, care has been taken to only evaluate tasks on a single database, in this instance the ImageNet-1k.\n\n1. Additional information such as the number of parameters, pre-training and computational efficiency for each technique is also taken into consideration. \n\n1. Models that have attained state-of-the-art performance have been prioritized in the literature search.\n\n1. The process followed for data extraction involves calculating the average accuracy of all variants with the same architecture or operating mechanism. This was done with the intention to compare the general accuracy between the two techniques. \n\n1. No articles containing medical images were included in our final selection to avoid bias arising from the difference between the real world and medical imagery. \n\n1. The final selection of articles belongs to the time period between 11 May 2021 and 11 May 2023 and only from the ArXiv repository.\n\n**Systematic Literature Search**\n \nUpon performing an advanced search to include keywords like computer vision and deep learning the results were (n=322). \nAfter conducting forward/backward search records(n= 55).\nFinally, after evaluating all the necessary criteria for analysis, n=15\n\nThe final search query [29] for statistical analysis with satisfied conditions:\n\n{CNNs(Title) OR Neural Networks(Title)  OR Transformers(Title) OR Hybrid(Abstract) AND Image Classification(Abstract) AND Accuracy(Abstract) AND State-of-the-art(Abstract) NOT Medical(All fields) }\n\n![Screenshot 2023-07-16 212017.jpg](attachment:b8f38ece-1ae3-41e6-9d19-7e602afeac86.jpg)\n\nFigure(9) is a flowchart that describes the data collection and article selection procedure.\n\n**Data Extraction**\n1. The final selection of articles contains 15 research papers from the ArXiv repository.\n1. The models introduced in these articles have attained state-of-the-art performance on the ImageNet-1k dataset.\n1. Out of the 15 articles, two articles were included as a between-subject study measure to get additional information on performance metrics. \n1. The average performance of all variants is calculated and compared on the basis of their underlying architecture from all articles. \n1. The calculated values have been cross-verified to avoid any errors.\n1. For heterogeneity assessment, I have calculated Cochran’s Q statistic. Its significance determines the impact of changes due to varying conditions.\n1. A random-effects model was employed for analysis.\n1. Because I have conducted a separate meta-analysis on image and video, I have not performed a sub-category analysis.\n\n**Overview**\nThe analysis is based on fifteen studies. The effect size index is the odds ratio.\nThe random-effects model was employed for the analysis. The studies in the analysis are assumed to be a random sample from a universe of potential studies, and this analysis will be used to make an inference to that universe. The final selected articles in under references [13] to 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               Forest Plot in R Studio\n\n\nThe meta-analysis of the available studies shows a mean effect size of 0.983, indicating a positive effect on the outcome variable.\n\n* 95% Confidence Interval: (0.889, 1.087)\n\nThe 95% confidence interval for the mean effect size ranges from 0.889 to 1.087. This interval provides a range of plausible values for the true effect size, and it includes 1.000, suggesting that the effect may not be statistically significant.\n\n* Z Value: -0.339\n\nThe Z value of -0.339 is associated with testing the null hypothesis that the true effect size is 1.000. Since the Z value is not statistically significant at the 0.05 alpha level, we cannot reject this null hypothesis.\n\n* Q Statistic: 20.758\n\nThe Q statistic measures the heterogeneity in the meta-analysis. A value of 20.758 is relatively high compared to the degrees of freedom.\n\n* p-value: 0.108\n\nThe p-value associated with the Q statistic is 0.108, indicating that there is no statistically significant heterogeneity among the studies.\n\n* Tau: 0.113\n\nTau is a measure of the amount of heterogeneity present in the meta-analysis. A Tau value of 0.113 indicates a low level of heterogeneity among the studies.\n\n* Tau Squared: 0.013\n\nTau squared is a normalized version of Tau, representing the proportion of total variance in the effect size that is due to true heterogeneity. In this meta-analysis, 1.3% of the variance in the effect sizes is attributed to true heterogeneity.\n\n* I-squared Value: 33%\n\nI-squared is another measure of heterogeneity, expressed as a percentage. The I-squared value of 33% suggests moderate heterogeneity among the studies.\n\n**Interpretation**\nIn this study, I aimed to compare the performance of two popular techniques: CNNs and Transformers.  However, due to the variability and lack of consistent variants reported across papers, a comprehensive analysis of each variant individually proved challenging. To address this, I opted for a simplified approach by calculating the average accuracy of all the models under each category for each paper. This approach allowed me to provide a general measure of performance for each category eventually providing insight into recent advancements.In conclusion, the meta-analysis suggests a mean effect size close to 1.00, with a narrow confidence interval. The Z-value and p-value indicate no significant deviation from 1.00, and the Q-test suggests no significant heterogeneity among the studies. However, the I-squared statistic indicates some variability in effect sizes that is not due to sampling error. Overall, the results are consistent and provide valuable insights into the true effect size in comparable populations.\n","metadata":{},"attachments":{"5bea9ccb-f3c7-4d0f-9bbc-3f291a91292a.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# Meta-Analysis: Assessing Advancements in Video Recognition\n\nThis section deals with the steps followed to analyze the recent developments in video recognition. By exploring their advancements, we can gain insight into the current capabilities and trends in this exciting field of research.  A comprehensive and unbiased selection of  13  scientific papers, implementing various deep learning techniques that were prominent to the growth of AI have been compared, analyzed, and summarized. By examining these factors, the study offers insights into the strengths and limitations of each framework, allowing for a comprehensive evaluation of their effectiveness in different computer vision tasks. The analysis sheds light on the recent state-of-the-art approaches, enabling researchers and practitioners to make informed decisions when selecting a framework for their specific application. \n\n**Criteria for Inclusion/ Exclusion**\n1. Accuracy as an output measure and action recognition as an input measure which means all techniques are compared on the basis of their performance on action recognition tasks. \n1. Additional information such as the number of parameters, pre-training and computational efficiency for each technique is also taken into consideration. \n1. Lastly, models that have attained state-of-the-art performance have been prioritized in the literature search. \n1. The process followed for data extraction involves calculating the average accuracy of all variants with the same architecture or operating mechanism. This was done with the intention to compare the general accuracy between the two techniques. \n1. The final selection of articles belongs to the time period between 11 May 2021 and 11 May 2023 and only from the ArXiv repository.\n\n**Systematic Literature Search**\n1.  Upon performing an advanced search to include keywords like computer vision and deep learning the results were (n=85). \n1. After conducting forward/backward search records(n= 43).\n1. Finally, after evaluating all the necessary criteria for analysis, n= 13\nThe final search query[29]  for statistical analysis with satisfied conditions:\n\n{CNNs(Title) OR Neural Networks(Title)  OR Transformers(Title) OR Hybrid(Abstract) AND Action Recognition(Abstract) AND Accuracy(Abstract) AND State-of-the-art(Abstract) NOT Medical(All fields) }\n\n![Screenshot 2023-08-07 210120.jpg](attachment:3d4c4d01-784a-415b-90d1-3b89805ad08e.jpg)\n\nFigure(9) is a flowchart that describes the data collection and article selection procedure.\n\n**Data Extraction**\n\n1. The final selection of articles contains thirteen research papers from the ArXiv repository.\n1. Out of the 13 articles, one article was included as a between-subject study measure to get additional information on performance metrics. \n1. The average performance of all variants is calculated and compared on the basis of their underlying architecture from all articles. \n1. The calculated values have been cross-verified to avoid any errors.\n1. For heterogeneity assessment, I have calculated Cochran’s Q statistic. Its significance determines the impact of changes due to varying conditions.\n1. A random-effects model was employed for analysis.\n\n**Overview**\nThe analysis is based on thirteen studies.\nThe random-effects model was employed for the analysis. The studies in the analysis are assumed to be a random sample from a universe of potential studies, and this analysis will be used to make an inference to that universe. The final selected articles is under references [31] to [42].\n\n![Screenshot 2023-08-07 202951.jpg](attachment:07ebc728-c9f2-4c96-9c68-a45c0d00b5f3.jpg)\n\n\n**Results:**\n\n\n![Rplot01.png](attachment:2fe23279-ed75-47aa-9bac-1ddfb3798a52.png)\n\n\n            Forest Plot in R 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"},"2fe23279-ed75-47aa-9bac-1ddfb3798a52.png":{"image/png":"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"},"3d4c4d01-784a-415b-90d1-3b89805ad08e.jpg":{"image/jpeg":"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results of the meta-analysis are as follows:\n\n- Q Statistic : 35.40\n\nThe Q statistic is a measure of heterogeneity among the studies. In this meta-analysis, the Q statistic is 35.40, which indicates some degree of heterogeneity among the studies.\n\n- Tau : 0.81\n\nTau is a measure of the amount of heterogeneity present in the meta-analysis. In this case, Tau is 0.81, suggesting a moderate level of heterogeneity among the studies.\n\n- Tau Squared: 0.6\n\nTau squared represents the proportion of total variance in the effect size that is due to true heterogeneity. In this meta-analysis, 66.10% of the variance in the effect sizes is attributed to true heterogeneity.\n\n- I-squared Value: 5.22%\n\nI-squared is another measure of heterogeneity, expressed as a percentage. In this meta-analysis, 5.22% of the total variability in effect sizes is due to heterogeneity among the studies. This value indicates a low level of heterogeneity.\n\n- Z Value: 1.20\n\nThe average Z value is 1.20, indicating the overall significance of the meta-analysis. A Z value greater than 1.96 would be statistically significant at the 0.05 alpha level, but in this case, the average Z value is below that threshold, suggesting that the overall effect is not statistically significant.\n\n- P -value: 0.35\n\nThe average p-value associated with the Z test is 0.35. This p-value indicates the probability of observing the Z statistic if there were no true effect. A p-value above 0.05 suggests that there is no statistically significant effect in the meta-analysis.\n\n- Mean Effect Size: 1.24\n\nThe mean effect size of the meta-analysis is 1.24. This value represents the overall effect size estimate across all studies included in the meta-analysis.\n\n- Overall CI Lower: 0.25\n\nThe lower bound of the overall confidence interval is 0.25. This interval provides a range of plausible values for the true effect size, and it suggests that the true effect size could be as low as 0.25.\n\n- Overall CI Upper: 6.09\n\nThe upper bound of the overall confidence interval is 6.09. This interval provides a range of plausible values for the true effect size, and it suggests that the true effect size could be as high as 6.09.\n\n\n**Interpretation**\nIn this study, I aimed to compare the performance of two popular techniques: CNNs and Transformers.  However, due to the variability and lack of consistent variants reported across papers, a comprehensive analysis of each variant individually proved challenging. To address this, I opted for a simplified approach by calculating the average accuracy of all the models under each category for each paper. This approach allowed me to provide a general measure of performance for each category eventually providing insight into recent advancements. Overall, the analysis provides insights into the odds ratio effect size across the included studies, and the results suggest no significant heterogeneity among them. \n","metadata":{}},{"cell_type":"markdown","source":"# Meta-Analysis: Evaluating Score Improvements in Kaggle Competitions","metadata":{}},{"cell_type":"markdown","source":"Kaggle Forum is a section where users can participate in healthy and constructive discussions, share insgihts and reach out to the kaggle community s topics on the platform. The section is also a testament to several advanced solutions over the years. Bearing that in mind I seek to understand the increase rate of scores in kaggle competitions involving image and video data during May,2021 - May,2023.","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n\ncsv_file_path = '/kaggle/input/meta-kaggle/Forums.csv'\ndf = pd.read_csv(csv_file_path)\nnum_duplicates = df.duplicated(subset='Title').sum()\nprint(\"Number of duplicates in the 'Title' column:\", num_duplicates)\ndf.drop_duplicates(subset='Title', inplace=True)\ndf.dropna(subset='Title', inplace=True)\nprint(df)","metadata":{"execution":{"iopub.status.busy":"2023-08-09T12:41:32.290598Z","iopub.execute_input":"2023-08-09T12:41:32.291236Z","iopub.status.idle":"2023-08-09T12:41:32.970002Z","shell.execute_reply.started":"2023-08-09T12:41:32.291193Z","shell.execute_reply":"2023-08-09T12:41:32.968914Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"csv_file_path = '/kaggle/input/meta-kaggle/Competitions.csv'\ncf = pd.read_csv(csv_file_path)\ncf.drop_duplicates(subset = 'Title', inplace=True)\ndf = pd.merge(df, cf, left_on='Title', right_on='Title', how='inner')\nprint(df['Title'])","metadata":{"execution":{"iopub.status.busy":"2023-08-09T12:42:06.691059Z","iopub.execute_input":"2023-08-09T12:42:06.691440Z","iopub.status.idle":"2023-08-09T12:42:06.916127Z","shell.execute_reply.started":"2023-08-09T12:42:06.691410Z","shell.execute_reply":"2023-08-09T12:42:06.915081Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"csv_file_path = '/kaggle/input/2023-kaggle-ai-report/kaggle_writeups_20230510.csv'\nwf = pd.read_csv(csv_file_path)\nwf['Competition Launch Date'] = pd.to_datetime(wf['Competition Launch Date'])\nstart_date = pd.to_datetime('2021-05-11 00:00:00')\nend_date = pd.to_datetime('2023-05-11 00:00:00')\nwf =wf[(wf['Competition Launch Date'] >= start_date) & (wf['Competition Launch Date'] <= end_date)]\nwf.drop_duplicates(subset='Competition Launch Date', inplace = True)\nfinal_df= pd.merge(df, wf, left_on='Title', right_on='Title of Competition', how='inner')\nprint(final_df[['Title', 'Competition Launch Date']])","metadata":{"execution":{"iopub.status.busy":"2023-08-09T12:48:48.060086Z","iopub.execute_input":"2023-08-09T12:48:48.060727Z","iopub.status.idle":"2023-08-09T12:48:48.317178Z","shell.execute_reply.started":"2023-08-09T12:48:48.060693Z","shell.execute_reply":"2023-08-09T12:48:48.315912Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The top scores achieved by the winner in every competition are treated as \"scores\". The sample_sizes are calculated as per the percentage of test data that was used to score the participants.  The sample_sizes are denoted in Giga Bytes. Taking the above factors into consideration I shortlisted 16 competition titles, in this case \"Studies\" that meet the requirements. Further computations are performed as per meta-analysis framework. ","metadata":{}},{"cell_type":"code","source":"study_names = [\n    \"SIIM-FISABIO-RSNA Covid -19 Detection\",\n    \"RSNA-MICCAI Brain tumor Radiogenomic Classification\",\n    \"Google Landmark Recogntion 2021\",\n    \"Google Brain- Ventilator Pressure Prediction\",\n    \"RSNA 2022 Cervical Spine Fracture Detection\",\n    \"Mayo Clinic - STRIP AI\",\n    \"Wikipedia Image Caption\",\n    \"Herbarium 2022 - FGVC9\",\n    \"Iwildcam 2022 - FGVC9\",\n    \"Sorghum - 100 Culitvar Identifcation - FGVC9\",\n    \"Happy Whale - Whale and Dolphin Identification\",\n    \"DFL - Bundeslinga Data Shootout\",\n    \"RSNA Screening Mammography Breast Cancer Detection\",\n    \"Image Matching Challenge 2022\",\n    \"Google Landmark Retrieval 2021\",\n    \"1st and Future - Player Contact Detection\"\n]\n\nfor i, study_name in enumerate(study_names, start=1):\n    print(f\"study{i}: {study_name}\")","metadata":{"execution":{"iopub.status.busy":"2023-08-09T12:48:57.369633Z","iopub.execute_input":"2023-08-09T12:48:57.370013Z","iopub.status.idle":"2023-08-09T12:48:57.377497Z","shell.execute_reply.started":"2023-08-09T12:48:57.369982Z","shell.execute_reply":"2023-08-09T12:48:57.376279Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport numpy as np\nimport scipy.stats as stats\n\nscores = [0.635, 0.623, 0.510, 0.058, 0.204, 0.659, 0.734, 0.877, 0.240, 0.965, 0.876, 0.905, 0.550, 0.863, 0.537, 0.798]\nsample_sizes = [13.08, 19.5, 0.51, 0.17, 0.39, 2.12, 1.4, 21.27, 11.72, 17.18, 15.45, 0.61, 0.01, 0.002, 0.04, 0.02]\nstandard_errors = [np.sqrt(1 / (score * n) + 1 / ((1 - score) * n)) for score, n in zip(scores, sample_sizes)]\n\nstudy_labels = [f\"Study {i+1}\" for i in range(len(scores))]\nplt.errorbar(scores, range(len(scores)), xerr=standard_errors, fmt='o', capsize=5, label='Individual Study')\nplt.axvline(np.mean(scores), color='r', linestyle='--', label='Overall Effect')\nplt.yticks(range(len(scores)), study_labels)\nplt.xlabel('Scores (Effect Size)')\nplt.ylabel('Studies')\nplt.title('Forest Plot of Scores')\nplt.legend()\nplt.show()\neffect_sizes = [np.log(score / (1 - score)) for score in scores]\nmean_effect_size = np.mean(effect_sizes)\nconfidence_interval = stats.t.interval(0.95, df=len(effect_sizes) - 1, loc=mean_effect_size, scale=np.std(effect_sizes, ddof=1))\nz_value = mean_effect_size / (np.std(effect_sizes, ddof=1) / np.sqrt(len(effect_sizes)))\nQ = np.sum([(effect_size - mean_effect_size) ** 2 / standard_error ** 2 for effect_size, standard_error in zip(effect_sizes, standard_errors)])\np_value = 1 - stats.chi2.cdf(Q, df=len(effect_sizes) - 1)\ntau = np.sum(effect_sizes) / np.sum([1 / standard_error ** 2 for standard_error in standard_errors])\ntau_squared = (tau ** 2) / (np.sum([1 / standard_error ** 2 for standard_error in standard_errors]))\nI_squared = 100 * (Q - (len(effect_sizes) - 1)) / Q\n\nprint(\"Mean Effect Size: {:.3f}\".format(mean_effect_size))\nprint(\"95% Confidence Interval: ({:.3f}, {:.3f})\".format(confidence_interval[0], confidence_interval[1]))\nprint(\"Z Value: {:.3f}\".format(z_value))\nprint(\"Q Statistic: {:.3f}\".format(Q))\nprint(\"p-value: {:.3f}\".format(p_value))\nprint(\"Tau: {:.3f}\".format(tau))\nprint(\"Tau Squared: {:.3f}\".format(tau_squared))\nprint(\"I-squared Value: {:.2f}%\".format(I_squared))","metadata":{"execution":{"iopub.status.busy":"2023-08-09T12:49:00.220607Z","iopub.execute_input":"2023-08-09T12:49:00.221007Z","iopub.status.idle":"2023-08-09T12:49:00.983864Z","shell.execute_reply.started":"2023-08-09T12:49:00.220976Z","shell.execute_reply":"2023-08-09T12:49:00.982829Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Results:**\n\nThe meta-analysis of the available studies shows a mean effect size of 0.658, indicating a moderate positive effect on the outcome variable.\n\n* 95% Confidence Interval: (-2.606, 3.921)\n\nThe 95% confidence interval for the mean effect size ranges from -2.606 to 3.921. The interval includes zero, indicating that the effect may not be statistically significant.\n\n* Z Value: 1.718\n\nThe Z value of 1.718 is associated with testing the null hypothesis that the true effect size is zero. Since the Z value is below the threshold of 1.96 for statistical significance at the 0.05 alpha level, the effect is not considered statistically significant.\n\n* Q Statistic: 18.586\n\nThe Q statistic measures the heterogeneity in the meta-analysis. A value of 18.586 is relatively low compared to the degrees of freedom.\n\n* p-value: 0.233\n\nThe p-value associated with the Q statistic is 0.233, indicating that there is no statistically significant heterogeneity among the studies.\n\n* Tau: 0.687\n\nTau is a measure of the amount of heterogeneity present in the meta-analysis. A Tau value of 0.687 indicates a moderate level of heterogeneity among the studies.\n\n* Tau Squared: 0.031\n\nTau squared is a normalized version of Tau, representing the proportion of total variance in the effect size that is due to true heterogeneity. In this meta-analysis, 3.1% of the variance in the effect sizes is attributed to true heterogeneity.\n\n* I-squared Value: 19.29%\n\nI-squared is another measure of heterogeneity, expressed as a percentage. The I-squared value of 19.29% suggests low to moderate heterogeneity among the studies.\n\n**Interpretation:** \n\nThe meta-analysis suggests a moderate positive effect with a mean effect size of 0.658. However, the 95% confidence interval includes zero, indicating that the effect may not be statistically significant. The Q statistic and p-value suggest no statistically significant heterogeneity among the studies, with Tau indicating a moderate level of heterogeneity. The I-squared value suggests low to moderate heterogeneity. ","metadata":{}},{"cell_type":"markdown","source":"# The Limitations of AI\n\nStated below are few limitations of AI:\n\n**A**utonomy: There are risks and ethical concerns over autonomous automobiles. A small glitch in the operating system can pose great danger to innocent life. New models of such design being released frequently should be made accountable, transparent in addition to  other legal regulations for overall road safety.  \n\n**B**ias:  It is a well-known fact that AI models  learn directly from data. Depending on the data source used to train these engines their outcome can sometimes tilt towards past data introducing bias. In machine learning bias can also be introduced through over-fitting and under-fitting of an algorithm. Bias is the equivalent of a bug in  software depending on the impact it can have on the end-product. Consider organizations providing disaster relief support, bias in such  a scenario can result in discrimination and  unintended neglect towards certain geographical areas/ ethnic groups/ people of colour which could have been avoided.\n\n**C**ontextual Understanding: While AI has suprassed all expectations in  generative AI and image generation  applications, it is still quite far from reaching human-level understanding in cognitive and emotional contexts. This can be a reason for  significantly lower applications of AI in these situations. \n\n**D**ata Dependency: AI algorithms heavily rely on vast amounts of data to make accurate predictions and to enable data-driven decision-making. It is why the data that is used to train these systems should be sufficient and representative, and should be verified multiple times to eliminate any room for data bias. \n\n**E**nergy Consumption: In real- world scenarios, more often than not AI systems use substantial amounts of energy. The two main reasons for this condition are computational complexity and optimization. Deep learning models require intensive hardware and software optimizations to deliver results which are at par. The larger the complexity the greater the energy needed. \n\nThese limitations highlight some of the challenges that AI faces in terms of technical capabilities, ethical considerations, and broader societal impact. Addressing these limitations is crucial for the responsible and sustainable development of AI technologies.","metadata":{}},{"cell_type":"markdown","source":"\n# The Future Of AI\n\nThe applications of AI in computer vision are profound and unmatched. Let’s think about how AI has: \n\n**A**massed stupendous information from various sources\n\n**B**uilt reliable communication systems \n\n**C**reated a safer world with sophisticated security systems\n\n**D**riven organizations and businesses to grow revenue\n\n**E**nhanced efficient and accurate disease diagnosis in healthcare\n\n**F**ostered projects for the management of natural resources\n\n**G**arnered advancements in key areas of research\n\n**H**elped streamline customer support services like chatbots\n\n**I**mproved the quality of crops and water management\n\n**J**ustified recommendations, predictions and decision-making process in businesses\n\n\nConsidering all the above factors and many more,  it is evident that AI has a huge impact on all areas of life and will continue to have a greater one with advances in science and technology. By 2030 it is estimated that AI can contribute $ 15.7 trillion  to the global economy[5].  AI will therefore serve as a powerful tool to augment human capabilities with unprecedented results. This is to say without a doubt that as AI becomes more powerful its dominance will be felt on a larger scale. When stakes are this high any worst-case scenario could be catastrophic for humans with its consequences felt in the most remote places on Earth. Hence considering this as a matter of utmost importance it is our responsibility to act for the better.\n\n**We cannot halt any technological progress but we sure can come together to discuss, plan, select, and adopt safer regulations** \n\nLet us welcome this technological advancement with a collaborative approach towards responsible innovation and governance ensuring a harmonious impact on our world. ","metadata":{}},{"cell_type":"markdown","source":"    # References\n* [1]. https://en.wikipedia.org/wiki/Artificial_intelligence\n* [2]. https://en.wikipedia.org/wiki/Computer\n* [3]. https://en.wikipedia.org/wiki/Computer_vision\n* [4].  https://en.wikipedia.org/wiki/Machine_learning\n* [5]. https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study .html\n* [6]. Aamir, Muhammad & Rahman, Ziaur & Abro, Waheed & Tahir, Muhammad & Mustajar, Syed. (2019). An Optimized Architecture of Image Classification Using Convolutional Neural Network. International Journal of Image, Graphics and Signal Processing. 11. 30-39. 10.5815/ijigsp.2019.10.05. \n* [7]. Saharia, C., Ho, J., Chan, W., Salimans, T., Fleet, D. J., & Norouzi, M. (2021). Image Super-Resolution via Iterative Refinement. ArXiv. /abs/2104.07636 \n* [8]. Hu, Y., Yang, J., Chen, L., Li, K., Sima, C., Zhu, X., Chai, S., Du, S., Lin, T., Wang, W., Lu, L., Jia, X., Liu, Q., Dai, J., Qiao, Y., & Li, H. (2022). Planning-oriented Autonomous Driving. ArXiv. /abs/2212.10156  \n* [9]. Nam JG, Kim M, Park J, et al. Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs. Eur Respir J 2021; 57: 2003061 [https://doi.org/10.1183/13993003.03061-2020].\n* [10]. https://huggingface.co/tasks/image-classification#:~:text=Image%20classification%20is%20the%20task,Image%20Classification%20Model\n* [11]. https://scale.com/guides/diffusion-models-guide#diffusion-model-prompt-engineering\n* [12]. https://medium.com/@darjun94/human-action-recognition-on-ucf101-dataset-2d-cnn-based-630c69f4eed\n* [13]. Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., & Guo, B. (2021). Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. ArXiv. /abs/2103.14030\n* [14]. Mao, M., Zhang, R., Zheng, H., Gao, P., Ma, T., Peng, Y., Ding, E., Zhang, B., & Han, S. (2021). Dual-stream Network for Visual Recognition. ArXiv. /abs/2105.14734  \n* [15]. Zhou, Y., Xiang, W., Li, C., Wang, B., Wei, X., Zhang, L., Keuper, M., & Hua, X. (2022). SP-ViT: Learning 2D Spatial Priors for Vision Transformers. ArXiv. /abs/2206.076\n* [16]. Assran, M., Caron, M., Misra, I., Bojanowski, P., Bordes, F., Vincent, P., Joulin, A., Rabbat, M., & Ballas, N. (2022). Masked Siamese Networks for Label-Efficient Learning. ArXiv. /abs/2204.07141\n* [17]. Tu, Z., Talebi, H., Zhang, H., Yang, F., Milanfar, P., Bovik, A., & Li, Y. (2022). MaxViT: Multi-Axis Vision Transformer. ArXiv. /abs/2204.01697\n* [18]. Yang, J., Li, C., Dai, X., Yuan, L., & Gao, J. (2022). Focal Modulation Networks. ArXiv. /abs/2203.11926\n* [19]. Hatamizadeh, A., Yin, H., Heinrich, G., Kautz, J., & Molchanov, P. (2022). Global Context Vision Transformers. ArXiv. /abs/2206.09959\n* [20]. Jiao, J., Tang, Y., Lin, K., Gao, Y., Ma, J., Wang, Y., & Zheng, W. (2023). DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition. ArXiv. /abs/2302.01791\n* [21]. Liu, Z., Mao, H., Wu, C., Feichtenhofer, C., Darrell, T., & Xie, S. (2022). A ConvNet for the 2020s. ArXiv. /abs/2201.03545\n* [22]. Dai, Z., Liu, H., Le, Q. V., & Tan, M. (2021). CoAtNet: Marrying Convolution and Attention for All Data Sizes. ArXiv. /abs/2106.04803\n* [23].  Pan, J., Bulat, A., Tan, F., Zhu, X., Dudziak, L., Li, H., Tzimiropoulos, G., & Martinez, B. (2022). EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers. ArXiv. /abs/2205.03436\n* [24]. Yang, R., Ma, H., Wu, J., Tang, Y., Xiao, X., Zheng, M., & Li, X. (2022). ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer. ArXiv. /abs/2203.10790\n* [25]. Zhu, C., Ping, W., Xiao, C., Shoeybi, M., Goldstein, T., Anandkumar, A., & Catanzaro, B. (2021). Long-Short Transformer: Efficient Transformers for Language and Vision. ArXiv. /abs/2107.02192\n* [26]. Yao, T., Li, Y., Pan, Y., Wang, Y., Zhang, X., & Mei, T. (2022). Dual Vision Transformer. ArXiv. /abs/2207.04976\n* [27]. Tan, M., & Le, Q. V. (2021). EfficientNetV2: Smaller Models and Faster Training. ArXiv. /abs/2104.00298\n* [28]. https://ourworldindata.org/brief-history-of-ai\n* [29]. Schemmer, M., Hemmer, P., Nitsche, M., Kühl, N., & Vössing, M. (2022). A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. ArXiv. https://doi.org/10.1145/3514094.3534128\n* [30]. Borenstein, Michael & Hedges, Larry & Higgins, Julian & Rothstein, Hannah. (2009). An Introduction to Meta-Analysis. Introduction to Meta-Analysis. 19. 10.1002/9780470743386.\n* [31]. Rajendiran, R., Roy, D., & Fernando, B. (2023). Modelling Spatio-Temporal Interactions for Compositional Action Recognition. ArXiv. /abs/2305.02673\n* [32]. Zhao, Y., Luo, C., Tang, C., Chen, D., Codella, N., & Zha, Z. (2023). Streaming Video Model. ArXiv. /abs/2303.17228 \n* [33]. Bulat, A., Martinez, B., & Tzimiropoulos, G. (2022). Efficient Attention-free Video Shift Transformers. ArXiv. /abs/2208.11108\n* [34]. Koot, R., Hennerbichler, M., & Lu, H. (2021). Evaluating Transformers for Lightweight Action Recognition. ArXiv. /abs/2111.09641\n* [35]. Liu, Z., Ning, J., Cao, Y., Wei, Y., Zhang, Z., Lin, S., & Hu, H. (2021). Video Swin Transformer. ArXiv. /abs/2106.13230\n* [36]. https://ourworldindata.org/artificial-intelligence\n* [37]. Tabani, Hamid & Balasubramaniam, Ajay & Marzban, Shabbir & Arani, Elahe & Zonooz, Bahram. (2021). Improving the Efficiency of Transformers for Resource-Constrained Devices \n* [38]. Qing, Z., Zhang, S., Huang, Z., Wang, X., Wang, Y., Lv, Y., Gao, C., & Sang, N. (2022). MAR: Masked Autoencoders for Efficient Action Recognition. ArXiv. /abs/2207.11660\n* [39]. Truong, T., Bui, Q., Duong, C. N., Seo, H., Phung, S. L., Li, X., & Luu, K. (2022). DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition. ArXiv. /abs/2203.10233\n* [40]. Akbari, H., Yuan, L., Qian, R., Chuang, W., Chang, S., Cui, Y., & Gong, B. (2021). VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. ArXiv. /abs/2104.11178\n* [41]. Wang, M., Xing, J., & Liu, Y. (2021). ActionCLIP: A New Paradigm for Video Action Recognition. ArXiv. /abs/2109.08472\n*\n","metadata":{}},{"cell_type":"markdown","source":"     **Figures**\n1. Aamir, Muhammad & Rahman, Ziaur & Abro, Waheed & Tahir, Muhammad & Mustajar, Syed. (2019). An Optimized Architecture of Image Classification Using Convolutional Neural Network. International Journal of Image, Graphics and Signal Processing. 11. 30-39. 10.5815/ijigsp.2019.10.05. \n1. Saharia, C., Ho, J., Chan, W., Salimans, T., Fleet, D. J., & Norouzi, M. (2021). Image Super-Resolution via Iterative Refinement. ArXiv. /abs/2104.07636 \n1. Hu, Y., Yang, J., Chen, L., Li, K., Sima, C., Zhu, X., Chai, S., Du, S., Lin, T., Wang, W., Lu, L., Jia, X., Liu, Q., Dai, J., Qiao, Y., & Li, H. (2022). Planning-oriented Autonomous Driving. ArXiv. /abs/2212.10156  \n1. Nam JG, Kim M, Park J, et al. Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs. Eur Respir J 2021; 57: 2003061 [https://doi.org/10.1183/13993003.03061-2020].\n1. https://huggingface.co/tasks/image-classification#:~:text=Image%20classification%20is%20the%20task,Image%20Classification%20Model\n1. https://scale.com/guides/diffusion-models-guide#diffusion-model-prompt-engineering\n1. https://medium.com/@darjun94/human-action-recognition-on-ucf101-dataset-2d-cnn-based-630c69f4eed\n1. https://ourworldindata.org/artificial-intelligence \n1. Tabani, Hamid & Balasubramaniam, Ajay & Marzban, Shabbir & Arani, Elahe & Zonooz, Bahram. (2021). Improving the Efficiency of Transformers for Resource-Constrained Devices. ","metadata":{}},{"cell_type":"code","source":"\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\ndf = pd.read_csv('/kaggle/input/2023-kaggle-ai-report/sample_submission.csv')\ndf.iloc[0,1] = 'Image and/or video data'\ndf.iloc[1,1] = 'https://www.kaggle.com/code/monicasusan/through-the-eyes-of-ai'\ndf.iloc[2,1] = 'https://www.kaggle.com/code/sohamjangra/image-and-video-data-analysis-using-ai/comments#2343170'\ndf.iloc[3,1] = 'https://www.kaggle.com/code/adhirajroychowdhury/2023-kaggle-ai-report-on-image-and-video-data/comments#2345548'\ndf.iloc[4,1] = 'https://www.kaggle.com/code/bharatijog/video-image-data-and-ai-an-overview-of-recent/comments#2345563'\ndf.to_csv('submission.csv', index = False)\ndf.head()","metadata":{"execution":{"iopub.status.busy":"2023-07-15T13:46:39.682061Z","iopub.execute_input":"2023-07-15T13:46:39.682519Z","iopub.status.idle":"2023-07-15T13:46:39.705070Z","shell.execute_reply.started":"2023-07-15T13:46:39.682486Z","shell.execute_reply":"2023-07-15T13:46:39.703997Z"},"trusted":true},"execution_count":null,"outputs":[]}]}