Naturopathic doctor Kara Petrunick and sleep expert Dr. William Lu reveal why going to bed after a certain time disrupts cortisol and melatonin hormones, causing sleep issues.

Recent works propose complex multi-modal models that handle both time series and language, ultimately claiming high performance on complex tasks like time series reasoning and cross-modal question-answering. However, they skip evaluations of simple and important foundational tasks, which complex models should reliably master. They also lack direct, head-to-head comparisons with other popular approaches. So we ask a simple question: Can recent models even produce generic visual descriptions of time series data? In response, we propose three new tasks, posing that successful multi-modal models should be able to recognize, differentiate, and generate language descriptions of time series. We then create BEDTime, the first benchmark dataset to assess models on each task, comprising four datasets reformatted for these tasks across multiple modalities. Using BEDTime, we evaluate 13 state-of-the-art models, and find that (1) surprisingly, dedicated time series foundation models severely underperform, despite being designed for similar tasks, (2) vision-language models are quite capable, (3) language-only methods perform worst, despite many lauding their potential, and (4) all approaches are clearly fragile to a range of realistic robustness tests, indicating avenues for future work.

Philosophy professor Dr. Susan Schneider joins'Fox & Friends First' to discuss the impact of artificial intelligence on students' performance in the classroom. Staying awake to watch "just one more episode" is a classic excuse for delaying bedtime. And with popular shows like Peacock's "Love Island" airing almost every night as the drama unfolds live, there's more pressure to finish the latest episode and to engage in conversation with others the next day. In addition to making us sleepier in the morning, staying awake to watch TV is not good for the brain, according to Daniel Amen, a psychiatrist, brain imaging doctor and founder of Amen Clinics in California. "'I just have to watch the last episode' of whatever show you're watching, and you end up cutting out half an hour or an hour of sleep," he said in an interview with Fox News Digital.

Care and Feeding is Slate's parenting advice column. Have a question for Care and Feeding? We made a huge mistake. This summer, we purchased a switch for our boys (almost 5, and newly 7). The 5 year old isn't that into it, but my 7 year old is thrilled to finally be able to talk games and be in the loop with all his peers. We researched and picked games that were age-appropriate.

In health, most large language model (LLM) research has focused on clinical tasks. However, mobile and wearable devices, which are rarely integrated into such tasks, provide rich, longitudinal data for personal health monitoring. Here we present Personal Health Large Language Model (PH-LLM), fine-tuned from Gemini for understanding and reasoning over numerical time-series personal health data. We created and curated three datasets that test 1) production of personalized insights and recommendations from sleep patterns, physical activity, and physiological responses, 2) expert domain knowledge, and 3) prediction of self-reported sleep outcomes. For the first task we designed 857 case studies in collaboration with domain experts to assess real-world scenarios in sleep and fitness. Through comprehensive evaluation of domain-specific rubrics, we observed that Gemini Ultra 1.0 and PH-LLM are not statistically different from expert performance in fitness and, while experts remain superior for sleep, fine-tuning PH-LLM provided significant improvements in using relevant domain knowledge and personalizing information for sleep insights. We evaluated PH-LLM domain knowledge using multiple choice sleep medicine and fitness examinations. PH-LLM achieved 79% on sleep and 88% on fitness, exceeding average scores from a sample of human experts. Finally, we trained PH-LLM to predict self-reported sleep quality outcomes from textual and multimodal encoding representations of wearable data, and demonstrate that multimodal encoding is required to match performance of specialized discriminative models. Although further development and evaluation are necessary in the safety-critical personal health domain, these results demonstrate both the broad knowledge and capabilities of Gemini models and the benefit of contextualizing physiological data for personal health applications as done with PH-LLM.

Wherever you are reading this – on the couch or in bed – there is a good chance that you are doing it on some sort of screen. According to a 2022 review, almost everyone upped their screentime during the Covid pandemic, and there is little evidence that use has gone back down. While that may or may not be bad for all sorts of reasons, a concern for many people is blue light, and whether its haunting glow is affecting our bodies in ways sunshine doesn't. Could it somehow be bad light? To start with the basics: blue light sits on the short-wave, high-energy end of the visible spectrum, close to the UV rays that can lead to provably harmful effects on the skin and retinas.

The blue light that smartphone and laptop screens give off may not affect your sleep if you only get a small dose of it

Lowering your sleep age by reducing the amount of disruptions, improving quality of rest and getting an adequate amount each night can help ward of diseases like Parkinson's and extend a person's life by reducing their'sleep age', a new study finds. A joint research team from Stanford University and the Danish Center for Sleep Medicine found a clear correlation between the estimated sleep age of a person and their life-span. They used polysomnography tests (PSGs), which gauge multiple biometrics to determine sleep-quality and diagnose potential sleep issues in people to figure a person's sleep age. Elderly people generally suffer more disturbances, and a decrease in quality of sleep can be an early sign that a person will develop a cognitive impairment like Parkinson's, Alzheimer's or dementia in the future. A clear correlation between poor sleep and an increased all-cause mortality rate was found. A 10-year change in sleep age can extend or reduce a person's life by around 8.7 years.

Sidebar -- Criticism on Facebook Prophet Sidebar -- Time Series Made Easy! Really? Sidebar -- Time Series Made Easy! Really? Case Study 2.1 -- Predicting Energy Consumption based on XGBoost Case Study 2.2 -- Predicting Bike Sharing Demand based on LightGBM Case Study 2.1 -- Predicting Energy Consumption based on XGBoost Case Study 2.2 -- Predicting Bike Sharing Demand based on LightGBM Case Study 3.1 -- LSTM and Time Series Forecasting Sidebar -- Confidence/Uncertainty Intervals Sidebar -- Do We Really Need Deep Learning Models? Sidebar -- Do We Really Need Deep Learning Models?

Circle with Disney is evolving from digital nanny to digital assistant. Today's app update brings a new Connections feature to your favorite (and your kid's least favorite) online time warden and content minder. Circle has partnered with several top developers to expand the reach of the device beyond its home network parental control roots. You'll see six Connections when you download today's app update. Assistant: Powered by Amazon's Alexa, you'll soon be able to use any Alexa-powered device to ask about your kid's screen-time usage, as well as check time limits and bedtimes (and, no, your kids won't be able to ask Alexa to give them more time).