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Blog – Page 41

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Links From Todays Video:
https://www.clonerobotics.com/

Welcome to my channel where i bring you the latest breakthroughs in AI. From deep learning to robotics, i cover it all. My videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on my latest videos.

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Continue reading “Clone Robotics New Superintelligent Androids Sup[rise Everyone” | >

A global team has made a significant advance in understanding how bacterial plasmids contribute to antibiotic resistance.

Their findings reveal a complex mechanism involving the proteins KorB and KorA, which could lead to innovative treatments to weaken drug-resistant bacteria.

Breakthrough in Bacterial Resistance Research.

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The space debris problem won’t solve itself. We’ve been kicking the can down the road for years as we continue launching more rockets and payloads into space.

In the last couple of years, organizations – especially the European Space Agency (ESA) – have begun to address the problem more seriously.

Now they’re asking this question: What will it take to reach zero space debris?

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TVA has selected the BWRX-300 SMR for potential deployment at the Clinch River Site near Oak Ridge, Tennessee. If the funding is approved, TVA plans to accelerate construction of the first SMR, with commercial operations planned for 2033.

“Nuclear power has a key role to play in reaching a cleaner and more secure energy future,” said Scott Strazik, CEO, GE Vernova.

“Funding from this grant would play a critical role in the path forward, and we look forward to working with TVA and this strong team of utility and supply chain partners to accelerate the roll-out of small modular reactors in the United States.”

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Understanding how people perceive and interpret uncertainty from large language models (LLMs) is crucial, as users often overestimate LLM accuracy, especially with default explanations. Steyvers et al. show that aligning LLM explanations with their internal confidence improves user perception.

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For over a decade, complexity scientist Peter Turchin and his collaborators have worked to compile an unparalleled database of human history – the Seshat Global History Databank. Recently, Turchin and computer scientist Maria del Rio-Chanona turned their attention to artificial intelligence (AI) chatbots, questioning whether these advanced models could aid historians and archaeologists in interpreting the past.

The study, which is the first of its kind, evaluates the historical knowledge of leading AI models such as ChatGPT-4, Llama, and Gemini.

The results, presented at the NeurIPS conference, reveal both potential and significant limitations in AI’s ability to grasp historical knowledge, especially at the nuanced, expert level.

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