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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

In particular, the instances of irreproducible findings, such as in a review of 62 studies diagnosing COVID-19 with AI , emphasize the necessity to reevaluate practices and highlight the significance of transparency. Multiple factors contribute to the reproducibility crisis in AI research.

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Are LLMs Outsmarting Humans in Crafting Persuasive Misinformation? 

Analytics Vidhya

These sophisticated AI systems can generate human-like text, making them valuable tools for various applications. Computer scientists have uncovered […] The post Are LLMs Outsmarting Humans in Crafting Persuasive Misinformation? appeared first on Analytics Vidhya.

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Neural Networks Achieve Human-Like Language Generalization

Unite.AI

This limitation has been a subject of debate among AI researchers for decades, sparking discussions about the viability of neural networks as a true reflection of human cognitive processes. It touches upon a longstanding debate in the AI community: Can neural networks truly serve as an accurate model of human cognition?

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On the Open Letter to Halt New AI Developments: 3 Turing Awardees Present 3 Different Postures

Towards AI

Last Updated on April 6, 2023 by Editorial Team Author(s): LucianoSphere Originally published on Towards AI. Hinton, a British-Canadian computer scientist and cognitive psychologist, is considered… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

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AI Leaders Warn of ‘Risk of Extinction’

Unite.AI

Dissenting Voices: The Debate Over AI's Potential Harm Contrarily, there exists a significant portion of the AI community that considers these warnings as overblown. Yann LeCun, NYU Professor and AI researcher at Meta, famously expressed his exasperation with these ‘doomsday prophecies'.

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UCI and Harvard Researchers Introduce TalkToModel that Explains Machine Learning Models to its Users

Marktechpost

However, the complexity of these models has rendered their underlying processes and predictions increasingly opaque, even to seasoned computer scientists. All Credit For This Research Goes To the Researchers on This Project. If you like our work, you will love our newsletter.

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IBM Introduces a Brain-Inspired Computer Chip that Could Supercharge Artificial Intelligence (AI) by Working Faster with Much Less Power

Marktechpost

In the ever-evolving landscape of artificial intelligence, the need for faster and more efficient processing capabilities has been a persistent challenge for computer scientists and engineers. The latest breakthrough from IBM Research offers a promising solution—a dedicated computer chip named NorthPole.