crib
Revisiting Multivariate Time Series Forecasting with Missing Values
Yang, Jie, Hu, Yifan, Zhang, Kexin, Niu, Luyang, Dong, Yushun, Yu, Philip S., Ding, Kaize
Missing values are common in real-world time series, and multivariate time series forecasting with missing values (MTSF-M) has become a crucial area of research for ensuring reliable predictions. To address the challenge of missing data, current approaches have developed an imputation-then-prediction framework that uses imputation modules to fill in missing values, followed by forecasting on the imputed data. However, this framework overlooks a critical issue: there is no ground truth for the missing values, making the imputation process susceptible to errors that can degrade prediction accuracy. In this paper, we conduct a systematic empirical study and reveal that imputation without direct supervision can corrupt the underlying data distribution and actively degrade prediction accuracy. To address this, we propose a paradigm shift that moves away from imputation and directly predicts from the partially observed time series. We introduce Consistency-Regularized Information Bottleneck (CRIB), a novel framework built on the Information Bottleneck principle. CRIB combines a unified-variate attention mechanism with a consistency regularization scheme to learn robust representations that filter out noise introduced by missing values while preserving essential predictive signals. Comprehensive experiments on four real-world datasets demonstrate the effectiveness of CRIB, which predicts accurately even under high missing rates. Our code implementation is available in https://github.com/Muyiiiii/CRIB. However, due to uncontrollable factors such as data collection difficulties and transmission failures (Li et al., 2023; Marisca et al., 2022; Cini et al., 2021; Zhang et al., 2025a), real-world multivariate time series data is often partially observed, with missing values scattered throughout the series.
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Bosch's AI-enabled bassinet tracks everything you'd ever want to know about your baby's sleep
At CES 2025, Bosch is showing off an AI-enabled bassinet with sensors that can detect just about anything an anxious parent could ever hope to monitor about their baby. It's not clear when the device, called Revol, may actually be available, but it's able to track an impressive amount of data. At first glance, the Revol looks somewhat similar to other smart bassinets like the ever-popular Snoo. It has mesh walls and can soothe a sleeping baby with automated movements. But most of the power of the crib lies in the built-in baby monitor that provides a live video feed to caregivers.
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New AI 'baby translator' knows why your child is crying
A new artificial intelligent-powered device is helping to answer the million-dollar question for new parents - why is my baby crying? Qbear is a circular, silicone-covered device with software that analyzes cries to determine if the baby is hungry, tired, needs comfort or has a dirty diaper - and it does so in just 10 seconds with 95 percent accuracy. Parents receive notifications about their child's noises through a companion app, which also displays updates on their baby's comfort level and room temperature. Qbear is currently showcased at the Consumer Electronics Show in Las Vegas, showcasing the latest products and technologies in the consumer electronics industry. Qbear sits on the side of a crib, bassinet or stroller and activates when it hears the baby crying and'tells' parents what their child needs via a companion app Qbear has three available placement options: tabletop, wall hanging and crib stand.
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This AI smart crib gently bounces waking babies back to sleep
There is nothing in the world more valuable to new parents than sleep. To help with that, Cradlewise developed a smart crib that uses AI and a built-in monitor to help your little one stay snoozing for as long as possible. A sleekly designed bassinet in white and light-colored wood, it features an arch over the crib that contains the monitor and camera. The bed portion of the crib can be lowered as the child ages so it can switch from a bassinet to a crib. The Cradlewise crib learns your child's sleep patterns and senses when they start to shift and wake.
Robotic crib will automatically rock crying babies back to sleep – IAM Network
Robotic smart crib will automatically coax crying babies back to sleep without parents needing to wake up in the middle of the nightA San Francisco tech firm will release a new smart crib in SeptemberIt will automatically detect when a baby wakes or cries in the nightThe crib will rock the baby back to sleep and use AI to build a sleep profile of it By Michael Thomsen For Dailymail.com Published: 16:53 EDT, 9 July 2020 Updated: 17:05 EDT, 9 July 2020 A tech company in San Francisco has developed a new smart crib to help keep babies asleep throughout the night without parents needing to constantly get up and check on them.Described as a baby's'sleep guardian,' the Cradlewise crib comes equipped with motion sensors and microphones to detect when a baby is astir or has begun crying in the middle of the night.The crib's AI programming will kick into motion and begin rocking the mattress to coax the baby back to sleep again without needing to rouse its parents.Scroll down for video Cradlewise is a new smart crib from a San Francisco tech company that's designed to automatically begin rocking when motion sensors …
Robotic crib automatically rocks crying babies back to sleep
A tech company in San Francisco has developed a new smart crib to help keep babies asleep throughout the night without parents needing to constantly get up and check on them. Described as a baby's'sleep guardian,' the Cradlewise crib comes equipped with motion sensors and microphones to detect when a baby is astir or has begun crying in the middle of the night. The crib's AI programming will kick into motion and begin rocking the mattress to coax the baby back to sleep again without needing to rouse its parents. Cradlewise is a new smart crib from a San Francisco tech company that's designed to automatically begin rocking when motion sensors or a microphone detect signs the baby is awake Over time, Cradlewise says the crib's AI will build a profile of the baby's particular sleep habits and begin varying its rocking motions throughout the night in anticipation of periods when it might otherwise have woken. Parents will also be able to control the crib through a smartphone app that will also offer a live video feed of the baby at all times when it's in the crib.
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The Good Enough List
No one is immune to products with shiny packaging, newfangled features, and high list prices--even when you're paid to be a skeptical reviewer of these things. At my last job, I welcomed a constant parade of lotions and socks and blow dryers into my apartment. The goods with fancy logos and trendy colors were the ones that made me thrill at my work. They felt nice to unwrap. They felt glamorous to take selfies with. Some nice things turn out to be duds. A $200 bright yellow hair dryer that I reviewed was slower and heavier than the ones you could find at a drugstore. After consulting several dentists, I learned that a luxury light-up teeth whitener works as well as Crest White Strips. There was a brand-name leather briefcase that my colleagues liked, but I found it was too skinny to tote around my personal essentials, like gym clothes and a bottle of wine. A pair of dog boots that cost as much as shoes for a small human being had trouble staying on my petite beagle's feet for more than 10 steps. More often, nice things can prove exactly as useful as their cheaper counterparts: the high-end treadmill made with the same parts as the version sold at Walmart, the sunscreen bottled and sold like a rare and fancy potion with identical active ingredients to much of the stuff available at the drugstore in bulk. There is simply an upper limit to how well a thing can work, which is why you're reading this, our list of holiday gift ideas that are good--and more importantly, Good Enough.
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Babies are cared for by MACHINES in 60s video
Anyone who's ever had children will know that every parent needs a break at some point - but a recently resurfaced video from the 1960s seemed to take that idea to new extremes. The footage, taken in 1960 as part of a news report, shows a nurse operating some'High-Tec' baby care equipment in a state-of-the-art nursery in Budapest, Hungary, which was run by the Communist-regime at the time. The video was produced as a prediction of what could be expected from childcare in the future. The imagined equipment can not only move babies from one crib to another at the touch of a button, but can also feed them by lowering a bottle into their arms, leaving no need for mum and dad. The invention is just a prototype, though, with the nursery being used as a demonstration of how robotics could help care for babies.
turing-contributions
Turing went from drawing up a basic model for all computers to breaking down the constructs of complex chemical reactions with enviable ease. By 1943 the tide had turned – Alan Turing had developed the Naval Bombe, an adaptation of his decryption Bombe device capable of laying bare the secrets of the complex German Naval Enigma. Turing and his colleague Gordon Welchman built on the Polish machine at Bletchley Park. Turing and Church together hypothesised the idea of a universal Turing machine, a machine which could read and perform any algorithmic function – that is, a Turing machine that can simulate the algorithmic functions of any other Turing machine.
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Knowledge-Based Provision of Goods and Services for People with Social Needs: Towards a Virtual Marketplace
Rosu, Daniela (University of Toronto) | Aleman, Dionne M. (University of Toronto) | Beck, J. Christopher (University of Toronto) | Chignell, Mark (University of Toronto) | Consens, Mariano (University of Toronto) | Fox, Mark S. (University of Toronto) | Gruninger, Michael (University of Toronto) | Liu, Chang (University of Toronto) | Ru, Yi (University of Toronto) | Sanner, Scott (University of Toronto)
Traditionally, the needs of vulnerable populations have been addressed by a plethora of public and private agencies that rely on donations of money, goods and services which they distribute based on their perception of what is needed and where. This approach, however, lacks a comprehensive understanding of the demand side as well as the ability to coordinate between various suppliers of goods and services, identify latent supply and predict future demand. To help address these issues, we have developed a knowledge-based platform that harnesses advances in several AI fields for efficient and effective provisioning of goods and services.
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