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 sleep schedule


Is it better to sleep in cycles? Edison and Tesla tried.

Popular Science

Is it better to sleep in cycles? The internet claims waking at the end of a sleep cycle will leave you refreshed, but experts aren't convinced. Do sleep cycle alarms actually work? Breakthroughs, discoveries, and DIY tips sent every weekday. In an ideal world, we would all wake up in the morning feeling refreshed and ready to face the day. But if you're anything like me, you can barely pry your eyes open when your alarm goes off and your bed seems to exert a strong magnetic pull on your body.


REMI: A Novel Causal Schema Memory Architecture for Personalized Lifestyle Recommendation Agents

arXiv.org Artificial Intelligence

Personalized AI assistants often struggle to incorporate complex personal data and causal knowledge, leading to generic advice that lacks explanatory power. We propose REMI, a Causal Schema Memory architecture for a multimodal lifestyle agent that integrates a personal causal knowledge graph, a causal reasoning engine, and a schema based planning module. The idea is to deliver explainable, personalized recommendations in domains like fashion, personal wellness, and lifestyle planning. Our architecture uses a personal causal graph of the user's life events and habits, performs goal directed causal traversals enriched with external knowledge and hypothetical reasoning, and retrieves adaptable plan schemas to generate tailored action plans. A Large Language Model orchestrates these components, producing answers with transparent causal explanations. We outline the CSM system design and introduce new evaluation metrics for personalization and explainability, including Personalization Salience Score and Causal Reasoning Accuracy, to rigorously assess its performance. Results indicate that CSM based agents can provide more context aware, user aligned recommendations compared to baseline LLM agents. This work demonstrates a novel approach to memory augmented, causal reasoning in personalized agents, advancing the development of transparent and trustworthy AI lifestyle assistants.


Towards greener smart cities with machine learning-based 'sleep schedules'

#artificialintelligence

The concept of smart cities is founded on sophisticated cellular networks that would not only connect humans in the future but also humans to other smart devices. However, this would also require huge energy consumption. In the wake of climate change, this can make matters worse for our environment by increasing the greenhouse gas emissions. Thus, we not only need smart cities but also greener smart cities. One way to address this issue is by switching off base stations (BSs), radio transmitters/receivers that serve as the hub of the local wireless network, when they have little to no traffic load.