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Re-Learning Emotional Intelligence Through Artificial Intelligence

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021
The Pandemic has put gasoline on an already existing digital explosion. It is a time to reimagine, rediscover and rebuild our innovation and creativity. Machine learning (ML) gives us the immense power to deliver huge values quickly and easily. McKinsey, in one of its very popular reports, mentions how significantly AI and Machine Learning are being ...
Sandeep Singh   +3 more
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Artificial Intelligence and Learning

2021
Rapid technological advances, particularly recent artificial intelligence (AI) revolutions such as generative AI (e.g., ChatGPT, DALL-E), digital assistants (e.g., Alexa, Siri), self-driving cars, and humanoid robots, have changed human lives and will continue to have even bigger impact on our future society.
Jaekyung Lee, Richard Lamb, Sunha Kim
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Artificial intelligence in dermatology: the ‘unsupervised’ learning

British Journal of Dermatology, 2020
The potential areas of application of artificial intelligence in dermatology are ever-increasing. With the wide availability of smartphones equipped with high-resolution cameras and impressive processing powers, harnessing these capabilities using machine learning (ML) could open new prospects in the management of dermatological disorders. Du-Harpur et
P. Acharya, M. Mathur
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Machine Learning and Artificial Intelligence

2022
Current untargeted volatilomics aimed at predicting phenotypes from the analysis of biofluids and discovering informative biomarkers are largely based on machine learning methods. This chapter reviews the main tools and challenges in the development of the predictive machine learning model from the study design to the validation phase.
Md Shamim Hossain, Mst Farjana Rahman
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Artificial Intelligence Learns Protein Prediction

Cold Spring Harbor Perspectives in Biology
From AlphaGO over StableDiffusion to ChatGPT, the recent decade of exponential advances in artificial intelligence (AI) has been altering life. In parallel, advances in computational biology are beginning to decode the language of life: AlphaFold2 leaped forward in protein structure prediction, and protein language models (pLMs) replaced expertise and ...
Michael, Heinzinger, Burkhard, Rost
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Artificial intelligence learns to reason

Science
Julia has two sisters and one brother. How many sisters does her brother Martin have? Solving this tiny puzzle requires a bit of thinking. You might mentally picture the family of three girls and one boy and then realize that the boy has three sisters.
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Artificial intelligence. Machine learning

Vehicle and electronics. Innovative technologies, 2022
У статті відображені історія та останні досягнення в царені машинного навчання (machine learning) та штучного інтелекту (artificial intelligence), ці розділи являють собою необхідні умови Індустрії 4.0 (Industry 4.0). Без цих компонентів неможливий розвиток майбутньої економіки.
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Artificial intelligence, science, and learning

Journal of Thrombosis and Haemostasis, 2023
David, Lillicrap, James H, Morrissey
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Machine Learning and Artificial Intelligence

2020
This chapter proposes a cost-effective and scalable approach to obtain information on the current living standards and development in rural areas across India. The model utilizes a CNN to analyze satellite images of an area and predict its land type and level of development. A decision tree classifies a region as rural or urban based on the analysis. A
Anupama Hoskoppa Sundaramurthy   +3 more
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Artificial Intelligence and Machine Learning

2020
«The Theoretical University» in the Data Age. Have the great theories become obsolete? Anniversary Conference | Bielefeld University | 14–15 November 2019 Panel C: Big Data: From Machine Learning to Quantum Computing (Organized by: Dario Anselmetti, Barbara Hammer) Carlo Beenakker (Leiden University): Artificial Intelligence and Machine ...
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