ABSTRACT: This branch of computer science is concerned with making computers behave like humans. AI conferences like NeurIPS, ICML, ICLR, ACL and MLDS, among others, attract scores of interesting papers every year. Many thousands of software products are available to users today, providing a wide variety of information and services in a wide variety of domains. After more than 60 years of development, artificial intelligence (AI) has evolved into a discipline for research and development to simulate, extend, and expand human intelligence. AIRC is the premier forum for the presentation and exchange of past experiences, new advances, and research results in the areas of Robot Engineering, Artificial Intelligence and its Applications, and Control Engineering. The Lottery Ticket Hypothesis Current supervised WSD methods treat senses as discrete labels and also resort to predicting the Most-Frequent-Sense (MFS) for words unseen during training. We argue that solving the problem of invariant representations is … Currently, no computers exhibit full With a great pleasure, we introduce this special edition of the Journal of Advances in Civil Engineering, the result of the joint effort of authors, editors, and reviewers. (International computer science series) Bibliography: p. The 100 Best Computer Science Programs in the, Logic and the challenge of computer science free downloadNowadays computer science is surpassing mathematics as the primary field of logic applications, but logic is not tuned properly to the new role. Stand-Alone Self-Attention in Vision Models Robert G, Patricia R, Claudio M, Matthias Bethge, Felix A. W and Wieland B, A Geometric Perspective on Optimal Representations for Reinforcement Learning. Top 10 Python Open Source Projects On GitHub: 2019. In this work of art, the Harvard grad author, Stephen “Smerity” Merity, investigated the current state of NLP, the models being used and other alternate approaches. This work shows that adversarial value functions exhibit interesting structure, and are good auxiliary tasks when learning a representation of an environment. Should I have let my daughter marry our robot? ScienceDaily. Active learning strategies are discussed in general computer science course work and as used in a theory of computation course. Required fields are marked *, 人工知能の未来～ディープラーニングの先にあるもの Part 1/2 ～東京大学・松尾豊氏～ グロービス特別セミナー 人工知能の未来　～ディープラーニングの先にあるもの～　Part 1/2 近年、人工知能の研究者たちの大きな注目を集めている技術がある。人工知能分野における50年来のブレークスルーとも言われる「ディープラーニング（Deep Learning）」である。今までの人工知能は、現実世界の現象の「どこに注目し、どれが重要か」を人間が決めており、コンピュータが決めていなかった。しかし、ディープラーニングは、蓄積されたデータをもとに、コンピュータ自体が決め、人間と同じように経験に基づいた行動をすることを可能にしようとしている。この分野で、トップランナーの一人である東京大学・松尾豊氏。ディープラーニングを使った人間を超える画像認識技術、今後の展開や社会への影響などを語る（視聴時間39分）。 スピーカー 松尾 豊氏 東京大学 准教授  グロービス特別セミナー 人工知能の未来　～ディープラーニングの先にあるもの～　Part 2/2  【ポイント】 ・これまで、現実世界から「どこが重要なのか」を決めて取り出し、モデルをつくるのは人間だった。ディープラーニングはモデルをつくるところからコンピュータが行うという点で新しい ・ディープラーニングの画像認識の精度は上がり続けている。人間が間違う比率が5.1％に対し、2015年にはコンピュータは4.8％。コンピュータのほうが画像認識に優れてきた ・画像認識の精度が上がり、ディープラーニング関連の海外企業は投資・買収合戦が始まっている ・画像認識のレベルが上がり、顔写真で決済も可能になる, 取代人類？你應該這樣看AI | How will artificial intelligence empower humans? The authors find that a standard pruning technique naturally uncovers subnetworks whose initializations made them capable of training effectively. Artificial Intelligence Prediction and Counterterrorism The use of AI in counterterrorism is not inherently wrong, and this paper suggests some necessary conditions for legitimate use of AI as part of a predictive approach to counterterrorism on the part of liberal democratic states. The research paper theoretically proves that unsupervised learning of disentangled representations is fundamentally impossible without inductive biases. of the . The artificial intelligence sector sees over 14,000 papers published each year. Award highlights Bosch Center for Artificial Intelligence’s leadership in industrial AI. national science & technology council . a report by the . The authors believe this work to open up the possibility of automatically generating auxiliary tasks in deep reinforcement learning. In the present white paper we discuss the current state of Artificial Intelligence (AI) research and its future opportunities. Artificial Intelligence (AI) is the software at the centre of the Fourth Industrial Revolution. This field attracts one of the most productive research groups globally. The author, also the creator of keras, introduces a formal definition of intelligence based on Algorithmic Information Theory and using this definition, he also proposes a set of guidelines for what a general AI benchmark should look like. Artificial Intelligence, Deep Learning, Machine Learning, Brain, Brain Diseases, AI Lectures, AI Conferences, AI TED Talks, Mind and Brain, AI Movies, AI Books in English and Turkish. Artificial Intelligence: Australias Ethics Framework (A Discussion Paper) Page 2 Citation Dawson D and Schleiger E*, Horton J, McLaughlin J, Robinson C∞, Quezada G, Scowcroft J, and Hajkowicz S† (2019) Artificial Intelligence: Australias Ethics Framework. 5. Mario Lucic, Michael Tschannen, Marvin Ritter, Xiaohua Z, Olivier B, and Sylvain Gelly, ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations. VANCOUVER, Canada – The Bosch Center for Artificial Intelligence (BCAI) is honored to announce that a research paper co-written by Chief Scientist of AI Research Zico Kolter has received the Outstanding New Directions Paper Award at the 2019 Neural Information Processing Systems (NeurIPS) Conference. 1. The main idea was to generalize well-known rewriting techniques from strings and trees to Parsing is the process of structuring a linear representation in accordance with a given grammar. Mikhail Belkin, Daniel Hsu, Siyuan Ma, Soumik Mandal, September 2019. 1. Information Technology Research: A Practical Guide for Computer . This volume contains papers presented at AIRC 2019. Essay studying abroad is the better choice class schedule essay. Marc G. B , Will D , Robert D , Adrien A T , Pablo S C , Nicolas Le R , Dale S, Tor L, Clare L, The authors propose a new perspective on representation learning in reinforcement learning. Stand-Alone Self-Attention in Vision Models. Prajit Ramachandran, Niki P, Ashish Vaswani, Irwan Bello Anselm Levskaya, Jonathon S, June 2019. Published 02 May 2019. Shaojie Bai, J. Zico Kolter and Vladlen Koltun, October 2019. The year 2019 saw an increase in the number of submissions. The artificial intelligence sector sees over 14,000 papers published each year. via Oreilly This year… Across the world, artificial intelligence (AI) is showing its potential for abetting repressive regimes and upending the relationship between citizen and state, thereby exacerbating a global resurgence of authoritarianism. Artificial intelligence (AI) is a technology that is already impacting how users interact with, and are affected by, the Internet. Your email address will not be published. Along with the development of network technology and the advance of information technology, electronic, Introduction to the Minitrack on ICT and Artificial Intelligence for Crisis and Emergency Managementfree download Technologies for crisis response and management have come a very long way over the years. This field attracts one of the most productive research groups globally. Format of a good narrative essay treatment for depression essay. To help you quickly get up to speed on the latest ML trends, we’re introducing our research series, in which we curate the key AI research papers of 2019 … Data61 CSIRO, Australia. The year 2019 saw an increase in the … The High-Level Expert Group on Artificial Intelligence (AI HLEG) presented their Policy and Investment Recommendations for Trustworthy AI during the first European AI Alliance Assembly in June 2019. Date Written: May 3, 2019 Abstract This article attempts to get to the heart of some of the general misunderstanding and misapplication of Artificial Intelligence (AI) decision-making technology and proposes a regulatory model to place public rather than private interest at the heart of AI regulation. In this work, the Google researchers verified that content-based interactions can serve the vision models. Companies in 2019, will be able to access and implement this life-changing technology. Social inequality topics research paper: english essays for class 6 pdf, world food problems essay in hindi essay about millennial generation, research papers on social media case study in interior design example of an essay for a college scholarship intelligence 2019 ieee Artificial research paper how to check plagiarism in research paper online. a report by the . (2019, November 13). This summer research proposal defined the field, and has another first to its name — it is the first paper to use the term Artificial Intelligence. 10 Important Conversational AI Research Papers of 2019 1. This work shows that adversarial value functions exhibit interesting structure, and are good auxiliary tasks when learning a representation of an environment. Abstract. CiteScore values are based on citation counts in a range of four years (e.g. RCAI is the annual (until 2018 – biennial) conference organized by Ulyanovsk State Technical university, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Russian Association for Artificial Intelligence and held since 1988. Artificial Intelligence News in 2019 ... dedicated to AI research. Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin G, Piyush Sharma and Radu S, September 2019, The authors present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT and to address the challenges posed by increasing model size and GPU/TPU memory limitations, longer training times, and unexpected model degradation. 2019-15 University of Hong Kong Faculty of Law Research Paper No. By any previous standard the vitality of computer science is enormous; what other intellectual area ever advanced so far in twenty years, Evaluation Model for the Application of Artificial Intelligence Medical Assistant System to the Development of Medical Ecology in Chinafree download People are increasing the requirements for medical ecology in past years so that the establishment of an electronic medical care mechanism becomes urgent. Shaojie Bai, J. Zico Kolter and Vladlen Koltun, IMAGENET-Trained CNNs are Biased Towards Texture. JAIR, established in 1993, was one of the first open-access scientific journals on the Web, and has been a … Using this approach, training and prediction in these networks require only constant memory, regardless of the effective “depth” of the network. Advanced topics in computer science free downloadDecision Tree and Ensemble Learning Based on Ant Colony Optimization Google Books Result Modern heuristic techniques for combinatorial problems . GauGANs-Semantic Image Synthesis with Spatially-Adaptive Normalization Motivated by the observation that the hidden layers of many existing deep sequence models converge towards some fixed point, the researchers at Carnegie Mellon University present a new approach to modeling sequential data through deep equilibrium model (DEQ) models. Sawan Kumar, Sharmistha Jat, Karan Saxena and Partha Talukdar. Taesung Park, Ming-Yu Liu, Ting-Chun Wang and Jun-Yan Zhu, November 2019. IBM’s Watson diagnoses heart disease (Hutson 2017), chatbots dispense medical advice for the United Kingdom’s National Health Service (O’Hear 2017), apps like SkinVision detect skin cancer with expert accuracy (Haenssle et al. Social inequality topics research paper: english essays for class 6 pdf, world food problems essay in hindi essay about millennial generation, research papers on social media case study in interior design example of an essay for a college scholarship intelligence 2019 ieee Artificial research paper how to check plagiarism in research paper online. In this paper, an attempt has been made to reconcile classical understanding and modern practice within a unified performance curve. In this process, he tears down the conventional methods from top to bottom, including etymology. Single Headed Attention RNN: Stop Thinking With Your Head. Francois Chollet, November 2019. Artificial intelligence We analyzed 16,625 papers to figure out where AI is headed next Our study of 25 years of artificial-intelligence research suggests … Singularity is a 2017 American science fiction film written and directed by Robert Kouba, based on a story by Sebastian Cepeda. High-Fidelity Image Generation With Fewer Labels This first edition features artificial intelligence (AI) as the theme. Abstract. Source: https://analyticsindiamag.com/best-machine-learning-papers-2019-nips-icml-ai/, Your email address will not be published. This definition has been kept abstract on purpose to allow as wide an interpretation as possible. 1. Faculty library sciences Series: Advanced topics in computer science series; Alternative call (PDF) Modern Heuristic Search Methods, Software Agents Michael R. Genesereth Logic Group Computer Science Department Stanford Universityfree downloadThe software world is one of great richness and diversity. From autonomous helicopters to robotic perception, Ng’s research in machine learning. AI conferences like NeurIPS, ICML, ICLR, ACL and MLDS, among others, attract scores of interesting papers every year. The authors in this paper, evaluate CNNs and human observers on images with a texture-shape cue conflict. In 1989, we used the term computing instead of computer science , mathematics, and engineering. In particular, classical logic is preoccupied mostly with infinite static structures whereas many objects of interest in, Computer science unpluggedfree downloadFor kids ages 7 to 14: This educational 50 minute show is an action-packed, zany time exploring neat ideas in computer science . Hands-On Machine Learning, Single Headed Attention RNN: Stop Thinking With Your Head, EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. Technology advancements, driven by Artificial Intelligence and Cloud Computing will dominate 2019 in redefining enterprise competitive advantage and create a base for future enterprise progression. The artificial intelligence sector sees over 14,000 papers published each year. J Am Coll Cardiol. Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin G, Piyush Sharma and Radu S, GauGANs-Semantic Image Synthesis with Spatially-Adaptive Normalization. 18/2015, University of Tennessee Legal Studies Research Paper No. CiteScore values are based on citation counts in a range of four years (e.g. So much so that there is an increase of 90% in the number of annually published research papers on Artificial Intelligence since 1996. 65 (2019) ... Access Foundation, a nonprofit public charity whose purpose is to facilitate the dissemination of scientific results in artificial intelligence. Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review. This work summarizes and critically assesses the definitions of intelligence and evaluation approaches while making apparent the historical conceptions of intelligence that have implicitly guided them. Artificial intelligence includes game playing, expert systems, neural networks, natural language, and robotics. Artificial Intelligence in Financial Services. The paper was awarded the AAAI-AIES 2019 Best Paper … There is a substantial gap between the promise and reality of artificial intelligence in human resource (HR) management. Kids, and the, The Profession of IT, Is Computer Science Sciencefree downloadCOMMUNICATIONS OF THE ACM draw on the same fundamental principles. Based on these results, they introduce the “lottery ticket hypothesis:”, On The Measure Of Intelligence The Future of Robotics and Artificial Intelligence | Andrew Ng (2011), Robotics and Autonomous Systems Graduate Certificate | Standford University, Deep Learning for Robotics – Prof. Pieter Abbeel, Hyper Evolution : Rise Of The Robots | BBC Documentary, Sophia the Robot: “I don’t do sexual activities”, Top 7 Books in Artificial Intelligence & Machine Learning, Best Sellers in AI & Machine Learning on Amazon, 7 Classic Books To Deepen Your Understanding of Artificial Intelligence, Artificial Intelligence- A Modern Approach, Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence, Beyond Genuine Stupidity : Ensuring AI Serves Humanity. The year 2019 saw an increase in the number of submissions. Deep Equilibrium Models CiteScore: 7.7 ℹ CiteScore: 2019: 7.7 CiteScore measures the average citations received per peer-reviewed document published in this title. The state of the art in crisis communications in the early to mid 1850s was the telegraph using a simple key to send Morse code. AI conferences like NeurIPS, ICML, ICLR, ACL, and MLDS, among others, attract scores of interesting papers every year. It has been performed for over 20 years in classrooms, science museums, science festivals, and at educational events. Harrington, J E, Jr (2018), “Developing Competition Law for Collusion by Autonomous Price-Setting Agents,” working paper. Current and future developments, opportunities and challenges . The artificial intelligence sector sees over 14,000 papers published each year. With the AI industry moving so quickly, it’s difficult for ML practitioners to find the time to curate, analyze, and implement new research being published. VANCOUVER, Canada – The Bosch Center for Artificial Intelligence (BCAI) is honored to announce that a research paper co-written by Chief Scientist of AI Research Zico Kolter has received the Outstanding New Directions Paper Award at the 2019 … SUMMARY Artificial intelligence is changing the transport sector. Top AI & Machine Learning Research Papers From 2019. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Conference on Artificial Intelligence: Research, Innovations & its Applications. This field attracts one of the most productive research groups globally. The artificial intelligence sector sees over 14,000 papers published each year. The authors believe this work to open up the possibility of automatically generating auxiliary tasks in deep reinforcement learning. It stars John Cusack, Carmen Argenziano, The recent explosion of interest in artificial intelligence and machine learning has led to writing many books about these subjects. Deep learning, a subset of machine learning based on artificial neural networks, has enabled applications with performance levels approaching those of trained professionals in tasks including the interpretation of medical images and discovery of drug compounds ([ 1 ][1]). Taesung Park, Ming-Yu Liu, Ting-Chun Wang and Jun-Yan Zhu. 19/12/2019. based on geometric properties of the space of value functions. IBM Research has been exploring artificial intelligence and machine learning technologies and techniques for decades. Read Next. Today, computing science, engineering, mathematics, art, Discrete mathematical structures with applications to computer science free downloadThe objectives of the course are: To develop Professional Skills through effective communication To introduce a number of Mathematical Foundation to be serving as tools even today in the development of theoretical computer science To gain some confidence on, Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education communityfree downloadWhen Jeanette Wing [13] launched a discussion regarding the role of computational thinking across all disciplines, she ignited a profound engagement with the core questions of what computer science is and what it might contribute to solving problems across the, Modern DC-to-DC Switchmode Power Converter Circuits (Van Nostrand Reinhold Electrical/ Computer Science and Engineering Series)free download As each area of technology with a potential for significantly impacting any major segment of the electronics industry evolves, it often is accompanied by the development of a succession of new circuits. We believe AI will transform the world in dramatic ways in the coming years – and we’re advancing the field through our portfolio of research focused on three areas: towards human-level intelligence, platform for business, and hardware and the physics of AI. The researchers from IISc Bangalore in collaboration with Carnegie Mellon University propose Extended WSD Incorporating Sense Embeddings (EWISE), a supervised model to perform WSD by predicting over a continuous sense embedding space as opposed to a discrete label space. Theory of Computing 2015/2016 (FUB MSc in Computer Science ) Languages and Machines, which is intended for computer scientists in the theoretical foundations of their subject, gives a mathematically sound In the late 1960s and early 1970s, the concepts of graph transformation and graph grammars started to become of interest in picture processing and computer science . EN . AI will play a key role in solving enterprise challenges ranging from predictive analytics, fraud analytics, customer 360, location analytics etc. Artificial intelligence is to develop the machine elements that analyze the human’s thinking system and reflect the same to reality. This model retained visual fidelity and alignment with challenging input layouts while allowing the user to control both semantic and style. 267. This article identifies four challenges in using data science techniques for HR tasks: complexity of HR phenomena, constraints imposed by small data sets, accountability questions associated with fairness and other ethical and legal constraints, and possible … The year 2019 saw an increase in the number of submissions. University of Maryland. CiteScore: 7.7 ℹ CiteScore: 2019: 7.7 CiteScore measures the average citations received per peer-reviewed document published in this title. This white paper by a PRC information security standardization group describes the current state of AI security and safety standards in China. Introduction At our university, there are over four hundred declared majors in Computer Science . Modern-day models can produce high quality, close to reality when fed with a vast quantity of labeled data. Prajit Ramachandran, Niki P, Ashish Vaswani, Irwan Bello Anselm Levskaya, Jonathon S, High-Fidelity Image Generation With Fewer Labels. Ezrachi, A and M E Stucke (2015), "Artificial Intelligence and Collusion: When Computers Inhibit Competition", Oxford Legal Studies Research Paper No. This study exploits field experiment data on more than 6,200 customers who are randomized to receive highly structured outbound sales calls from chatbots or … EfficientNets are believed to superpass state-of-the-art accuracy with up to 10x better efficiency (smaller and faster). The author also voices the need for a Moore’s Law for machine learning that encourages a minicomputer future while also announcing his plans on rebuilding the codebase from the ground up both as an educational tool for others and as a strong platform for future work in academia and industry. Conserve blue to go green for an aatmanirbhar bharat essay in english 500 words. 2019;12(14):1293-1303 The Chinese University of Hong Kong Faculty of Law Research Paper No. IBM Research has been exploring artificial intelligence and machine learning technologies and techniques for decades. Across the world, artificial intelligence (AI) is showing its potential for abetting repressive regimes and upending the relationship between citizen and state, thereby exacerbating a global resurgence of authoritarianism. select committee on artificial intelligence . Artificial intelligence (AI) is an area of Modern heuristic techniques for combinatorial problems. ABSTRACT: This branch of computer science is concerned with making computers behave like humans. In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. A Geometric Perspective on Optimal Representations for Reinforcement Learning It was a fundamental idea, going back to the work of Hartmanis and Stearns in the early 1960s, to measure the required, The combinatorics of network reliability, International Series of Monographs on Computer Science free downloadThis book develops combinatorial tools which are useful for reliability analysis, as demonstrated with a probabilistic network model. Keeping this in mind, if you want to research and write a thesis based on Artificial Intelligence, there are many sub-topics that you can focus on. This field attracts one of the most productive research groups globally. The linear representation may be a sentence, a computer, The Cambridge distributed computing system. Vol. 取代人類？你應該這樣看AI | How will artificial intelligence empower humans? Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance. In the near future, its impact is likely to AI Index 2019 Report Stanford HAI Stanford University free download 2019 Artificial Intelligence Index Report 2019. 2019/033 42 Pages Posted: 8 Jul 2019 Last revised: 17 Sep 2019 Today AI is already a part of our daily lives, as we engage with these systems through various applications including search, recommenders and … INTRODUCTION. WIPO Technology Trends 2019 Preface I am pleased to present the first report in a new flagship series, WIPO Technology Trends. AI is increasingly being absorbed into just about every business sector. AI conferences like NeurIPS, ICML, ICLR, ACL, and MLDS, among others, attract scores of interesting papers every year. The, Artificial Intelligence Applications to Support K 1 2 Teachers and Teachingfree download 2 some of the key technical challenges that need to be addressed in order to realize the full potential of AI to support teachers. No, that is the wrong way to begin. artificial intelligence research and development strategic plan: 2019 update . Artificial intelligence (AI) has demonstrated great progress in the detection, diagnosis, and treatment of diseases. In July 2017, The State Council of China released the “New Generation Artificial Intelligence Development Plan," outlining China's strategy to build a US$150 billion Chinese AI industry in a few short years, and to become the leading nation in AI by the year 2030. While most of these programs provide their users with significant Classical complexity theory analyzes and classifies problems by the amount of a resource, usually time or space, that is required by algorithms solving them. Jonathan Frankle, Michael Carbin, March 2019. In this work, the authors explore whether neural network architectures alone, without learning any weight parameters, can encode solutions for a given task. New World: “Artificial Intelligence” on Social Media, New World Artificial Intelligence is on Google Play Store, Towards Artificial General Intelligence: Oriol Vinyals, Machine Learning and Artificial Intelligence, Artificial Intelligence Impacts: Kaiesh Vohra, The Artificial Intelligence Race: The AI Documentary. CiteScore: 7.7 ℹ CiteScore: 2019: 7.7 CiteScore measures the average citations received per peer-reviewed document published in this title. The “double descent” curve overtakes the classic U-shaped bias-variance trade-off curve by showing how increasing model capacity beyond the point of interpolation results in improved performance. Artificial Intelligence Apocalypse | More Myth Than Reality, Over Next Three Years, Employees will Need Reskilling as AI Takes Jobs. Adam Gaier & David Ha, September 2019. The story of Artificial Intelligence hype has a considerable business history in 2019. Empowered by artificial intelligence (AI), chatbots are surging as new technologies with both business potential and customer pushback. There is a substantial gap between the promise and reality of artificial intelligence in human resource (HR) management. IMAGENET-Trained CNNs are Biased Towards Texture We believe AI will transform the world in dramatic ways in the coming years – and we’re advancing the field through our portfolio of research focused on three areas: towards human-level intelligence, platform for business, and hardware and the physics of AI. Nvidia in collaboration with UC Berkeley and MIT proposed a model that has a spatially-adaptive normalization layer for synthesizing photorealistic images given an input semantic layout. It is a fitting topic for the launch of the series as AI is a cutting-edge technology with impacts on a wide range of businesses and activities. New artificial intelligence system automatically evolves to evade internet censorship. Robert G, Patricia R, Claudio M, Matthias Bethge, Felix A. W and Wieland B, September 2019. Convolutional Neural Networks(CNNs) are at the heart of many machine vision applications. ... M., & Lin, N. (2019). The scope of this paper is limited to AI applications designed to address any one of three core challenges of teaching:(1) providing. Weight Agnostic Neural Networks All papers underwent a traditional double-blind peer review process. With the rise of industrial artificial intelligence, the combination of data, smart manufacturing processes and AI – led predictive maintenance techniques will drive major cost savings and production value for businesses across industries. Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving the computational performance of inference without compromising accuracy.