Breakthroughs, discoveries, and DIY tips sent every weekday. Ancient Egyptians may have used opium a . Based on recent examinations, archaeologists now say the drug may even have been a near-daily recreational habit. Opium might have even been widely used across socio-economic classes as long as 3,000 years ago. The evidence is detailed in a study recently published in the, and offers a glimpse into the daily lives of regular Egyptians and royalty alike.

Fox News Flash top headlines are here. Check out whats clicking on Foxnews.com. Self-driving trucks are moving closer to reality. PlusAI released its first half 2025 performance results, showing how far the company has come toward its goal of launching factory-built autonomous trucks in 2027. Safety case readiness reached 86 percent, with a goal of 100 percent by launch.

--Improving human health and well-being requires an accurate and effective understanding of an individual's physical and mental state throughout daily life. T o support this goal, we utilized smartphones, smartwatches, and sleep sensors to collect data passively and continuously for 24 hours a day, with minimal interference to participants' usual behavior, enabling us to gather quantitative data on daily behaviors and sleep activities across multiple days. Additionally, we gathered subjective self-reports of participants' fatigue, stress, and sleep quality through surveys conducted immediately before and after sleep. This comprehensive lifelog dataset is expected to provide a foundational resource for exploring meaningful insights into human daily life and lifestyle patterns, and a portion of the data has been anonymized and made publicly available for further research. In this paper, we introduce the ETRI Lifelog Dataset 2024, detailing its structure and presenting potential applications, such as using machine learning models to predict sleep quality and stress. Human daily life consists of a complex interrelation of different activities and physiological states, spanning daytime behavior and nighttime sleep.

Word Count: 0 words + 7 table(s) 250 = 1750 words Submission Date: July 1, 2025 Farabi 2 ABSTRACT Using mobile phone video of the fingertip as a data source for estimating vital signs such as heart rate (HR) and respiratory rate (RR) during daily life has long been suggested. While existing literature indicates that these estimates are accurate to within several beats or breaths per minute, the data used to draw these conclusions are typically collected in laboratory environments under careful experimental control, and yet the results are assumed to generalize to daily life. In an effort to test it, a team of researchers collected a large dataset of mobile phone video recordings made during daily life and annotated with ground truth HR and RR labels from N=111 participants. They found that traditional algorithm performance on the fingerprint videos is worse than previously reported (7 times and 13 times worse for RR and HR, respectively). Fortunately, recent advancements in deep learning, especially in convolutional neural networks (CNNs), offer a promising solution to improve this performance. This study proposes a new method for estimating HR and RR using a novel 3D deep CNN, demonstrating a reduced error in estimated HR by 68% and RR by 75%. These promising results suggest that regressor-based deep learning approaches should be used in estimating HR and RR. Keywords: Vital signs, deep learning, regression, mobile phones, mHealth, photoplethysmogra-phy Farabi 3 INTRODUCTION The tracking of vital signs, such as heart rate (HR) and respiratory rate (RR), has become increasingly prevalent in daily life, serving as a general measure of human health and for quantifying symptoms in specific conditions such as atrial fibrillation ( 9), panic attacks ( 13), chronic obstructive pulmonary disease, asthma ( 4), and post-operative recovery ( 29). Fortunately, with the widespread availability of mobile phones, many individuals now have access to technology for taking these measurements without needing expensive and inconvenient companion devices, thus enabling measurements in resource-limited environments. In particular, the use of mobile phone videos for measuring vital signs has emerged as a promising option due to the near-ubiquity of smartphones, making it a convenient option for the elderly population.

Instead, they're built on top of them, using a workflow-based structure designed to get things done. A lot of these systems also introduce a different way of interacting with AI. Rather than just chatting back and forth with users, they are optimized for managing and executing multistep tasks--booking flights, managing schedules, conducting research--by using external tools and remembering instructions. China could take the lead on building these kinds of agents. The country's tightly integrated app ecosystems, rapid product cycles, and digitally fluent user base could provide a favorable environment for embedding AI into daily life.

Wandercraft's Personal Exoskeleton is about helping people stand tall, connect with others and live life on their own terms. For Caroline Laubach, being a Wandercraft test pilot is about more than just trying out new technology. It's about reclaiming a sense of freedom and connection that many wheelchair users miss. Laubach, a spinal stroke survivor and full-time wheelchair user, has played a key role in demonstrating the personal AI-powered prototype exoskeleton's development, and her experience highlights just how life-changing this device can be. "When I'm in the exoskeleton, I feel more free than I do in my daily life," said Laubach.

On a misty Saturday afternoon in Shenzhen's Central Park, a gaggle of teenage girls are sheltering from the drizzle under a concrete canopy. With their bags of crisps piled high in front of them, they crowd around a couple of smartphones to sing along to Mandopop ballads. The sound of their laughter rings out across the surrounding lawn – until it is pierced by a mechanical buzzing sound. A few metres away from the impromptu karaoke session is an "airdrop cabinet", one of more than 40 in Shenzhen that is operated by Meituan, China's biggest food delivery platform. Hungry park-goers can order anything from rice noodles to Subway sandwiches to bubble tea.

Faculty of Computer Science and Information Technology, University of Malaya, Malaysia Abstract More and more people are under p ressure from work, life and education. Under these pressures, people will develop an anxious state of mind, or even the initial symptoms of suicide. With the advancement of artificial intelligence technology,large language modeling is currently one of the hottest technologies. It is often used for detecting psychological disorders, however, the current study only gives the categorization result, but does not give an interpretable description of what led to this categorization result. Based on all these imma ture studies, this study adopts a person - centered perspective and focuses on GPT - generated multi - scenario simulated conversations. These simulated conversations were selected as data samples for the study. Various transformer - based encoder models were util ized in the study in order to integrate a classification model capable of identifying different anxiety levels. In addition, a knowledge base focusing on anxiety was constructed in this study using Langchain and GPT4. When analyzing the classification resu lts, this knowledge base was able to provide explanations and reasons that were most relevant to the interlocutor's anxiety situation. The study shows that the developed model achieves more than 94% accuracy in categorical prediction and that the advice pr ovided is highly personalized. Mental health is defined as a state of well - being on the mental, emotional, and social levels [8, 16, 34]. Abnormal anxiety is a very important factor that leads to mental health [3, 19, 43].

Today, Snap, the parent company of Snapchat, one of the most popular social-media apps for teenage users, is announcing a new computer that you wear directly on your face. The latest in its Spectacles line of smart glasses, which the company has been working on for about a decade, shows you interactive imagery through its lenses, placing plants or imaginary pets or even a golf-putting range into the real world around you. So-called augmented reality (or AR) is nothing new, and neither is wearable tech. Meta makes a pair of smart glasses in partnership with Ray-Ban, and claims they're so popular that the company can't make them fast enough. Amazon sells an Alexa-infused version of the famous Carrera frames, which make you look like a mob boss with access to an AI assistant (Alexa, where's the best place to hide a body?).

For centuries it was biology that made humans sick. Today, it is often stress. So argues Dr Gabor Maté about the unrecognized toll that "normal" modern life has on your mental and physical health. Dr. Maté's research, which struck a chord in 2023, invites reflection on the roll out of generative AI into daily life in 2024. As half of British teens report feeling addicted to social media, and as the U.S. surgeon general offers a rare caution against its health risks, the infusion of generative AI into social media appears to threaten our basic hygiene, meaning "the conditions or practices conducive to maintaining health and preventing disease."