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A Game-Changer for AI: The Tsetlin Machine’s Role in Reducing Energy Consumption

The rapid rise of Artificial Intelligence (AI) has transformed numerous sectors, from healthcare and finance to energy management and beyond. However, this growth in AI adoption has resulted in a significant issue of energy consumption. Modern AI models, particularly those based on deep learning and neural networks, are incredibly power-hungry. Training a single large-scale model […]

Reckoning with generative AI’s uncanny valley

Mental models and antipatterns Mental models are an important concept in UX and product design, but they need to be more readily embraced by the AI community. At one level, mental models often don’t appear because they are routine patterns of our assumptions about an AI system. This is something we discussed at length in […]

AI sector study: Record growth masks serious challenges

A comprehensive AI sector study – conducted by the Department for Science, Innovation and Technology (DSIT) in collaboration with Perspective Economics, Ipsos, and glass.ai – provides a detailed overview of the industry’s current state and its future prospects. In this article, we delve deeper into the key findings and implications—drawing on additional sources to enhance […]

How LLM Unlearning Is Shaping the Future of AI Privacy

The rapid development of Large Language Models (LLMs) has brought about significant advancements in artificial intelligence (AI). From automating content creation to providing support in healthcare, law, and finance, LLMs are reshaping industries with their capacity to understand and generate human-like text. However, as these models expand in use, so do concerns over privacy and […]