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The National Security Commission on Artificial Intelligence

open access: yes, 2021
Website documenting the work of the National Security Commission on Artificial Intelligence, including their final report regarding recommendations for advancement and national security related to "artificial intelligence, machine learning, and ...
National Security Commission on Artificial Intelligence (U.S.)
core  

A review of machine learning in scanpath analysis for passive gaze-based interaction

open access: yesFrontiers in Artificial Intelligence
The scanpath is an important concept in eye tracking. It refers to a person's eye movements over a period of time, commonly represented as a series of alternating fixations and saccades.
Abdulrahman Mohamed Selim   +6 more
doaj   +1 more source

Teaching and learning with Artificial Intelligence

open access: yesProject Approaches in Engineering Education
Artificial Intelligence (AI) has significant potential to revolutionize teaching and learning methods by providing innovative tools that personalize teaching and make the learning process more efficient. In this way, it is possible to create dynamic scenarios more easily, promoting the evolution of teaching towards a model based on the development of ...
Magalhães, Andreia, Andrade, António
openaire   +1 more source

ARTIFICIAL INTELLIGENCE FOR LANGUAGE TEACHING AND LEARNING

open access: yesInternational Humanitarian University Herald. Philology, 2023
Дана стаття містить огляд деяких інноваційних методів вивчення іноземної мови з використанням сучасних технологій на основі штучного інтелекту, таких як система Google Translate і ChatGPT. Використання Google Translate і ChatGPT трансформувало метод викладання і вивчення іноземних мов.
Shevchenko, О. М., Оgurtsova, O. L.
openaire   +2 more sources

Artificial Intelligence (AI) on Learning Process

open access: yesSSRN 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
openaire   +1 more source

Learning models of sequential decision-making with partial specification of agent behavior

open access: yes, 2019
Artificial agents that interact with other (human or artificial) agents require models in order to reason about those other agents’ behavior. In addition to the predictive utility of these models, maintaining a model that is aligned with an agent’s true ...
Shah, Julie A.   +3 more
core   +1 more source

Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI)

open access: yesJournal of University Teaching and Learning Practice, 2023
The OpenAI’s ChatGPT-3, or Chat Generative Pre-Trained Transformer was released in November 2022 without significant warning, and has taken higher education by storm since.
J. Crawford   +2 more
semanticscholar   +1 more source

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

open access: yesMachine Learning and Knowledge Extraction, 2021
Machine learning is an established and frequently used technique in industry and academia, but a standard process model to improve success and efficiency of machine learning applications is still missing.
Stefan Studer   +6 more
doaj   +1 more source

Explainable self-supervised learning for medical image diagnosis based on DINO V2 model and semantic search

open access: yesScientific Reports
Medical images have become indispensable for decision-making and significantly affect treatment planning. However, increasing medical imaging has widened the gap between medical images and available radiologists, leading to delays and diagnosis errors ...
Alaa Hussien   +5 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

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