[HTML][HTML] Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning
D Baidoo-Anu, LO Ansah - Journal of AI, 2023 - dergipark.org.tr
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 …
more than one million subscribers within a week. The generative AI tool⎼ ChatGPT took the …
Diffusion models: A comprehensive survey of methods and applications
Diffusion models have emerged as a powerful new family of deep generative models with
record-breaking performance in many applications, including image synthesis, video …
record-breaking performance in many applications, including image synthesis, video …
ChatGPT: A revolutionary tool for teaching and learning mathematics
This study aims to examine the perspectives of various stakeholders, such as students and
educators, on the use of artificial intelligence in teaching mathematics, specifically after the …
educators, on the use of artificial intelligence in teaching mathematics, specifically after the …
Generative models as an emerging paradigm in the chemical sciences
DM Anstine, O Isayev - Journal of the American Chemical Society, 2023 - ACS Publications
Traditional computational approaches to design chemical species are limited by the need to
compute properties for a vast number of candidates, eg, by discriminative modeling …
compute properties for a vast number of candidates, eg, by discriminative modeling …
Social physics
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …
phenomena. This development has been due to physicists venturing outside of their …
[HTML][HTML] The transformational role of GPU computing and deep learning in drug discovery
Deep learning has disrupted nearly every field of research, including those of direct
importance to drug discovery, such as medicinal chemistry and pharmacology. This …
importance to drug discovery, such as medicinal chemistry and pharmacology. This …
Generative adversarial networks in time series: A systematic literature review
Generative adversarial network (GAN) studies have grown exponentially in the past few
years. Their impact has been seen mainly in the computer vision field with realistic image …
years. Their impact has been seen mainly in the computer vision field with realistic image …
[HTML][HTML] Diffusion probabilistic modeling for video generation
Denoising diffusion probabilistic models are a promising new class of generative models
that mark a milestone in high-quality image generation. This paper showcases their ability to …
that mark a milestone in high-quality image generation. This paper showcases their ability to …
Deep generative modelling: A comparative review of vaes, gans, normalizing flows, energy-based and autoregressive models
Deep generative models are a class of techniques that train deep neural networks to model
the distribution of training samples. Research has fragmented into various interconnected …
the distribution of training samples. Research has fragmented into various interconnected …
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Deep supervised learning algorithms typically require a large volume of labeled data to
achieve satisfactory performance. However, the process of collecting and labeling such data …
achieve satisfactory performance. However, the process of collecting and labeling such data …