A new organoid model can accurately replicate the complex architecture of the liver, enabling researchers to study liver function and disease.
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Diglycerides Are Associated With An Older Biological Age
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#93 Prof. MURRAY SHANAHAN — Consciousness, Embodiment, Language Models
Support us! https://www.patreon.com/mlstProfessor Murray Shanahan is a renowned researcher on sophisticated cognition and its implications for artificial int…
From Turing’s conception of machine intelligence to the evolution of AI in early childhood education: conceptual, empirical, and practical insights
Artificial intelligence (AI) is rapidly permeating many aspects of our everyday lives and nearly every sector of society. In education, AI innovations are increasingly recognized for their transformative potential for enhancing teaching and student learning. In this article, I focus specifically on the evolution of AI in early childhood education (ECE), serving children from birth to age 8. To shed light on this phenomenon, I synthesize pertinent literature to yield conceptual, empirical, and practical insights. I begin with a historical perspective, tracing the origins of Turing’s conception of machine intelligence and the term “AI” to the current practical applications of AI in ECE and AI use by, for, and with children. I then examine developmental appropriateness and ethical considerations surrounding AI use. Next, I identify new opportunities and challenges for early childhood teachers, offering practical recommendations for education leaders and proposing future research directions. Finally, I conclude by reimagining an AI-powered future of ECE, emphasizing the need for supportive practices, active engagement, and the cultivation of positive dispositions among all key stakeholders, who must keep pace with the evolving AI landscape by navigating new opportunities, emerging challenges, and innovative developments. Additionally, I reimagine a transformative educational landscape enriched by student-centered, innovative teaching practices that catalyze learning in an AI-child interactive environment. In this reimagined and progressive educational landscape, the children are empowered with equal opportunities and equitable resources to naturally learn about and from developmentally appropriate AI tools as well as leverage them in ethical and responsible ways to enhance their learning.
Multimodal LLMs and the human brain create object representations in similar ways, study finds
A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so on, could have interesting implications for research in various fields, including psychology, neuroscience and computer science. Specifically, it could help shed new light on how humans interpret sensory information and complete different real-world tasks, which could also inform the development of artificial intelligence (AI) techniques that closely emulate biological and mental processes.
Multimodal large language models (LLMs), such as the latest models underpinning the functioning of the popular conversational platform ChatGPT, have been found to be highly effective computational techniques for the analysis and generation of texts in various human languages, images and even short videos.
As the texts and images generated by these models are often very convincing, to the point that they could appear to be human-created content, multimodal LLMs could be interesting experimental tools for studying the underpinnings of object representations.
Insulin on edge: Study identifies stress-triggered gene behind diabetes
Researchers from Osaka Metropolitan University have identified a gene that, when activated by metabolic stress, damages pancreatic β-cells—the cells responsible for insulin production and blood sugar control—pushing them toward dysfunction. The findings highlight a promising new target for early intervention in type 2 diabetes. The study is published in the Journal of Biological Chemistry.
While many factors can contribute to type 2 diabetes, lifestyle, especially diet, plays a major role in its onset. Genetics matter, but poor eating habits can greatly increase the risk of developing what is now often called a “silent epidemic.”
“Type 2 diabetes occurs when pancreatic β-cells, which secrete insulin to regulate blood glucose, become impaired due to prolonged stress caused by poor dietary habits, a condition known as oxidative stress,” said Naoki Harada, an associate professor at Osaka Metropolitan University’s Graduate School of Agriculture and lead author of this study.