In recent years, China, the United States and other countries, Google and other high-tech companies have increased investment in artificial intelligence. ICML 2019 Call for Papers The 36th International Conference on Machine Learning (ICML 2019) will be held in Long Beach, CA, USA from June 10th to June 15th, 2019. Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos (AAAI 2019) This paper is concerned with the task of unsupervised learning of scene depth and robot ego-motion, where supervision is provided by monocular videos. This is done by introducing geometric structure into the learning process. Machine learning, especially its subfield of Deep Learning, had many amazing advances in the recent years, and important research papers may lead to breakthroughs in technology that get used by billio ns of people. In this paper, various machine learning algorithms have been discussed. At that time, I concluded that this daily activity of paper-reading is crucial to keep my mind active and abreast of the latest advancement in the field of deep learning. 2020 is almost upon us! In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the past month. This is an extremely competitive list (50/22,000 or 0.23% chance), and carefully picks the most useful Machine Learning … It’s time to welcome the new year with a splash of machine learning sprinkled into our brand new resolutions. to name a few. A machine-learning paradigm The biggest shift we found was a transition away from knowledge-based systems by the early 2000s. Deep learning is one of the current artificial intelligence research's key areas. Between Jan~Dec 2018, we’ve compared nearly 22,000 Machine Learning articles to pick the Top 50 that can improve your data science skill for 2019. The main advantage of using machine learning is that, once an algorithm learns what to do with data, it can do its work automatically. Now on the eve of the new year of 2020, I can proudly say that I executed my 2019 new year resolution of “reading at least one new paper per week” with flying colors. This paper analyzes and summarizes the latest progress and future research directions of deep learning. Check out the machine learning trends in 2020 – and hear from top experts like Sudalai Rajkumar and Dat Tran! These algorithms are used for various purposes like data mining, image processing, predictive analytics, etc. Machine learning will continue to be at the heart of what we do and how we do it. Autism spectrum disorder (ASD) research has yet to leverage “big data” on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. deep learning: a review R. Vargas 1 , A. Mosavi 2, 3 , L. Ruiz 1 1 Obuda University, Faculty of Mechanical and Safety Engineering, 1081 Budapest, Hungary Introduction. These computer … The research in this field is developing very quickly and to help our readers monitor the progress we present the list of most important recent scientific papers published since 2014. The conference will consist of one day of tutorials (June 10), followed by three days of main conference sessions (June 11-13), followed by two days of workshops (June 14-15).