Once you've gotten used to an air purifier, it's hard to go back to living without one. I like them in the winter because they help the air feel less stale when I can't crack my windows open. And goodness knows they're handy in the warmer months, when Mother Nature and her army of grasses and leaves threaten to make me sneeze all day long. We've hand-tested multiple models for our air purifier buying guide, and Coway's have been a consistent favorite. The brand's popular design-forward Airmega line is discounted right now up to 30 percent off--this is close to what they ran for Black Friday.

The air in your house sucks--fix it with these Amazon deals on air purifiers and humidifiers. We may earn revenue from the products available on this page and participate in affiliate programs. If your sinuses are staging a revolt or your living room smells suspiciously like last night's stir-fry, it's probably time to call in a serious air purifier. LEVOIT's lineup routinely tops our lists because models cover everything from compact bedroom workhorses to family-room heavy hitters, and these Amazon deals are a chance to upgrade your home air quality before the next wave of wildfire smoke, pet shedding, or pollen hits. And there are also humidifiers on sale.

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Gear Home Shark's pet-friendly air purifier is cheaper than ever at Amazon for a limited time The most popular Shark air purifiers are on sale for their lowest prices of the year at Amazon. The deals also include vacuums, styling products, and more. We may earn revenue from the products available on this page and participate in affiliate programs. Have you turned your home's heat on for the winter yet? I finally gave in and switched my thermostat over to heat only to find myself smelling the familiar dusty scent emanating through my vents.

Cardiac catheterization remains a cornerstone of minimally invasive interventions, yet it continues to rely heavily on manual operation. Despite advances in robotic platforms, existing systems are predominantly follow-leader in nature, requiring continuous physician input and lacking intelligent autonomy. This dependency contributes to operator fatigue, more radiation exposure, and variability in procedural outcomes. This work moves towards autonomous catheter navigation by introducing DINO-CVA, a multimodal goal-conditioned behavior cloning framework. The proposed model fuses visual observations and joystick kinematics into a joint embedding space, enabling policies that are both vision-aware and kinematic-aware. Actions are predicted autoregressively from expert demonstrations, with goal conditioning guiding navigation toward specified destinations. A robotic experimental setup with a synthetic vascular phantom was designed to collect multimodal datasets and evaluate performance. Results show that DINO-CVA achieves high accuracy in predicting actions, matching the performance of a kinematics-only baseline while additionally grounding predictions in the anatomical environment. These findings establish the feasibility of multimodal, goal-conditioned architectures for catheter navigation, representing an important step toward reducing operator dependency and improving the reliability of catheterbased therapies.

As deep learning (DL) technologies advance, their application in automated visual inspection for Class III medical devices offers significant potential to enhance quality assurance and reduce human error. However, the adoption of such AI-based systems introduces new regulatory complexities-particularly under the EU Artificial Intelligence (AI) Act, which imposes high-risk system obligations that differ in scope and depth from established regulatory frameworks such as the Medical Device Regulation (MDR) and the U.S. FDA Quality System Regulation (QSR). This paper presents a high-level technical assessment of the foreseeable challenges that manufacturers are likely to encounter when qualifying DL-based automated inspections -- specifically static models -- within the existing medical device compliance landscape. It examines divergences in risk management principles, dataset governance, model validation, explainability requirements, and post-deployment monitoring obligations. The discussion also explores potential implementation strategies and highlights areas of uncertainty, including data retention burdens, global compliance implications, and the practical difficulties of achieving statistical significance in validation with limited defect data. Disclaimer: This paper presents a technical perspective and does not constitute legal or regulatory advice.

Amazon Prime Day is live. See the best deals HERE. Air quality can make a huge difference in your home's comfort level. We may earn revenue from the products available on this page and participate in affiliate programs. Unfortunately, dust, pet hair, pollen, and a ton of other airborne nonsense wants to get in the way of our good times.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Mark Chaney filmed the Serve Robotics device repeatedly swerving into his path. This is read by an automated voice. Please report any issues or inconsistencies here . A collision between a delivery robot and a man using a mobility scooter in West Hollywood received more than 26 million views.

Supershoes are reshaping distance running Since 2016, when Nike introduced the Vaporfly, a paradigm-shifting shoe that helped athletes run more efficiently (and therefore faster), the elite running world has muddled through a period of soul-searching over the impact of high-tech footwear on the sport. "Supershoes" --which combine a lightweight, energy-returning foam with a carbon-fiber plate for stiffness--have been behind every broken world record in distances from 5,000 meters to the marathon since 2020. To some, this is a sign of progress. In much of the world, elite running lacks a widespread following. Record-breaking adds a layer of excitement.

Global health emergencies, such as the COVID-19 pandemic, have exposed critical weaknesses in traditional medical supply chains, including inefficiencies in resource allocation, lack of transparency, and poor adaptability to dynamic disruptions. This paper presents a novel hybrid framework that integrates blockchain technology with a decentralized, large language model (LLM) powered multi-agent negotiation system to enhance the resilience and accountability of medical supply chains during crises. In this system, autonomous agents-representing manufacturers, distributors, and healthcare institutions-engage in structured, context-aware negotiation and decision-making processes facilitated by LLMs, enabling rapid and ethical allocation of scarce medical resources. The off-chain agent layer supports adaptive reasoning and local decision-making, while the on-chain blockchain layer ensures immutable, transparent, and auditable enforcement of decisions via smart contracts. The framework also incorporates a formal cross-layer communication protocol to bridge decentralized negotiation with institutional enforcement. A simulation environment emulating pandemic scenarios evaluates the system's performance, demonstrating improvements in negotiation efficiency, fairness of allocation, supply chain responsiveness, and auditability. This research contributes an innovative approach that synergizes blockchain trust guarantees with the adaptive intelligence of LLM-driven agents, providing a robust and scalable solution for critical supply chain coordination under uncertainty.