Rainbird Technologies CEO discusses the history of AI and the shift towards generative AI. The article highlights the benefits and limitations of symbolic AI…
Browsing: Explainability
This article discusses the combination of complex network modeling and deep learning algorithms in the field of artificial intelligence. It highlights the benefits of…
The Chief Justice of India (CJI) spoke about the role of technology in the judicial system and the need for transparency and explainability in…
This article discusses the use of medical guidelines and GPT-4 based agents for answering questions related to traumatic brain injury (TBI) rehabilitation. The system…
Explainability is a crucial concept in the regulation of artificial intelligence, as it allows for transparency and oversight of complex models. It is seen…
Recent revelations in the AI landscape have highlighted the need for trustworthy AI systems. IBM has established five principles of trustworthy AI, including explainability…
This article features five women working at SAP who are shaping AI in various roles and locations. They share their motivations and tips for…
Explainability is a crucial concept in the regulation of artificial intelligence, as it promotes transparency and enables effective oversight of complex models. It is…
A new method has been proposed to enhance explainability in deep neural networks, particularly in NLP, computer vision, and attention-based models. This method involves…
The article discusses the advancements in image analysis and machine learning techniques for cancer detection. It highlights the impact of better equipment, availability of…