Results 291 to 300 of about 405,044 (354)

Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

Journal of AI, 2023
Since its maiden release into the public domain on November 30, 2022, ChatGPT garnered more than one million subscribers within a week. The generative AI tool ⎼ChatGPT took the world by surprise with it sophisticated capacity to carry out remarkably ...
David Baidoo-Anu, Leticia Owusu Ansah
exaly   +2 more sources

Machine Learning/Artificial Intelligence for Sensor Data Fusion–Opportunities and Challenges

IEEE Aerospace and Electronic Systems Magazine, 2021
During Fusion 2019 Conference (https://www.fusion2019.org/program.html), leading experts presented ideas on the historical, contemporary, and future coordination of artificial intelligence/machine learning (AI/ML) with sensor data fusion (SDF).
Erik Blasch, T. Pham, Chee Chong, W. Koch, Henry Leung, Dave Braines, T. Abdelzaher   +6 more
semanticscholar   +1 more source

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Cognitive Robotics, 2023
Mohsen Soori, Behrooz Arezoo
exaly   +2 more sources

Machine learning, artificial intelligence and the prediction of dementia

Current Opinion in Psychiatry, 2021
Purpose of review Artificial intelligence and its division machine learning are emerging technologies that are increasingly applied in medicine. Artificial intelligence facilitates automatization of analytical modelling and contributes to prediction ...
A. Merkin, R. Krishnamurthi, O. Medvedev
semanticscholar   +1 more source

Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology

Internet of Things, 2020
Internet of Things (IoT) is one of the most rapidly used technologies in the last decade in various applications. The smart things are connected in wireless or wired for communication, processing, computing, and monitoring different real-time scenarios ...
Bhabendu Kumar Mohanta, Debasish Jena, Utkalika Satapathy, S. Patnaik   +3 more
semanticscholar   +1 more source

Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

Automation in Construction, 2022
This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in the facets of architectural design and visualization; material
Shanaka Kristombu Baduge, Mehrdad Arashpour, P Sharafi   +2 more
exaly   +2 more sources

Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses

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.
Guisheng Zou, Tianming Sun, Bin Feng
exaly   +2 more sources

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
openaire   +3 more sources

Artificial Intelligence and Machine Learning in Surgery

The American Surgeon, 2022
In the present era, the technology of artificial intelligence has started to rapidly gain popularity as a revolutionary innovation in healthcare. The following article serves as the introduction to our symposium on artificial intelligence in surgery.
Aashish, Rajesh, Malke, Asaad
openaire   +2 more sources

Algorithm, machine learning and artificial intelligence

SSRN Electronic Journal, 2021
We discuss the concepts of algorithm, machine learning and artificial intelligence. We start by noting that different definitions of algorithm may serve different epistemic purposes, and by highlighting the specificities of computer science algorithms together with a high-level overview of their different types.
Andrea Ferrario, Michele Loi
openaire   +1 more source