Results 11 to 20 of about 1,888,792 (317)
Nano-Micro Letters, 2023 The latest progress of emerging smart flexible sensing systems driven by brain-inspired artificial intelligence (AI) from both the algorithm (machine learning) and the framework (artificial synapses) level is reviewed.
Tianming Sun +10 more
semanticscholar +3 more sources
Probabilistic machine learning and artificial intelligence [PDF]
Nature, 2015 How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience.
Zoubin Ghahramani
openaire +4 more sources
Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey
IEEE Access, 2022 Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the eye retina.
Mohammad Z. Atwany +2 more
doaj +1 more source
PUF Modeling Attacks Using Deep Learning and Machine Learning Algorithms
Engineering Proceedings, 2023 The rapid advancement of technology has led to the pervasive presence of electronic devices in our lives, enabling convenience and connectivity. Cryptography offers solutions, but vulnerabilities persist due to physical attacks like malware.
Nelakudite Saadvikaa +4 more
doaj +1 more source
Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education [PDF]
Inf., 2023 This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education.
Ramteja Sajja +4 more
semanticscholar +1 more source
Feature Extraction of Ophthalmic Images Using Deep Learning and Machine Learning Algorithms
Engineering Proceedings, 2023 Deep learning and Machine Learning Algorithms has become the most popular method for analyzing and extracting features especially in medical images. And feature extraction has made this task much easier.
Tunuri Sundeep +4 more
doaj +1 more source
Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification
Big Data and Cognitive Computing, 2023 Feature selection and feature extraction have always been of utmost importance owing to their capability to remove redundant and irrelevant features, reduce the vector space size, control the computational time, and improve performance for more accurate ...
Shilpa Gite +6 more
doaj +1 more source
Artificial Intelligence (AI) on Learning Process
SSRN Electronic Journal, 2023 Artificial intelligence (AI) is a helpful technology. By providing college students with more individualized and productive learning environments, they support education. This research examines how artificial intelligence (AI) works in education and enhances teaching and learning results for Mindoro State University students and teachers.
null Shaun Kim Sopera +3 more
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Machine learning & artificial intelligence in the quantum domain: a review of recent progress
Reports on progress in physics. Physical Society, 2018 Quantum information technologies, on the one hand, and intelligent learning systems, on the other, are both emergent technologies that are likely to have a transformative impact on our society in the future.
V. Dunjko, H. Briegel
semanticscholar +1 more source
npj Digital Medicine, 2022 In procedural-based medicine, the technical ability can be a critical determinant of patient outcomes. Psychomotor performance occurs in real-time, hence a continuous assessment is necessary to provide action-oriented feedback and error avoidance ...
Recai Yilmaz +11 more
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