In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...
A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
In a world overflowing with information, learning what not to engage with may be the key to protecting your focus, time, and ...
Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...
Generative AI writes code in seconds, but leaders who can't think like programmers won't go very far. Computational thinking ...
The Aviationist on MSN
China's Mysterious Aircraft at Gaobeidian Possibly Linked to ‘High-Supersonic' Crew Escape Paper
A Chinese research paper on an ejectable cockpit for high-supersonic flight has drawn attention after a mysterious ...
An article published in Science by UBC researchers at Neuroethics Canada proposes a no-fault compensation scheme in the face ...
For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...
8dOpinion
Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety
Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...
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