Knowledge Tree
Relations (1)
related 2.00 — strongly supporting 10 facts
Deep learning is a subset of artificial intelligence, as evidenced by studies showing that deep learning methods are utilized to implement artificial intelligence capabilities for optimizing energy consumption [1], [2] and assessing climate change risks [3].
Facts (10)
Sources
Neural-Symbolic AI: The Next Breakthrough in Reliable and ... hu.ac.ae 2 facts
referenceNeural-Symbolic AI, defined as the integration of deep learning and symbolic reasoning, is a leading approach for addressing transparency and explainability issues in artificial intelligence (Zhang & Sheng, 2024).
claimDeep learning has been a dominant approach for many artificial intelligence applications since the inception of the field.
Comprehensive framework for smart residential demand side ... nature.com 2 facts
claimHafeez et al. investigated the use of electric vehicle charging stations in demand-side management using deep learning methods, showing that artificial intelligence can optimize energy consumption patterns while maintaining grid reliability.
referenceHafeez et al. investigated the use of deep learning methods for managing electric vehicle charging stations within demand-side management, demonstrating that artificial intelligence can optimize energy consumption patterns while maintaining grid reliability.
On Hallucinations in Artificial Intelligence–Generated Content ... jnm.snmjournals.org 1 fact
claimHallucinations in artificial intelligence–generated content for nuclear medicine imaging may arise from biased or nondeterministic data, the intrinsic probabilistic nature of deep learning, or limited visual feature understanding by models.
Neuro-symbolic AI - Wikipedia en.wikipedia.org 1 fact
claimNeuro-symbolic AI is a subfield of artificial intelligence that integrates neural methods, such as neural networks and deep learning, with symbolic methods, such as formal logic, knowledge representation, and automated reasoning.
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org 1 fact
referenceYoshua Bengio, Yann Lecun, and Geoffrey Hinton published an article titled 'Deep learning for ai' in the Communications of the ACM in 2021.
Global perspectives on energy technology assessment and ... link.springer.com 1 fact
claimAI can analyze renewable energy policy scenarios, generate models to anticipate long-term impacts of renewable energy integration, and assess climate change risks using machine learning and deep learning functions.
What Is Open Source Software? - IBM ibm.com 1 fact
claimIT professionals commonly deploy open source software in categories including programming languages and frameworks, databases and data technologies, operating systems, Git-based public repositories, and frameworks for artificial intelligence, machine learning, and deep learning.
Medicinal plants and human health: a comprehensive review of ... link.springer.com 1 fact
claimArtificial intelligence and deep learning technologies accelerate plant research by addressing computational challenges in omics data analysis.