Fi Mini and Tractive: Which Smart Cat Tracker Should You Buy? For months, I tested Tractive and Fi Mini smart collars on my cat to find the best for activity, sleep, and GPS tracking. Wearable health-monitoring devices, like smart rings, smartwatches, and fitness trackers, help people stay on top of key wellness markers. By providing data on steps, heart rate, sleep, and more, these gadgets allow people to better understand their health, along with the opportunity to improve it with lifestyle shifts. But why should humans have all the fun?

Massage guns used to be simple percussive devices. Now, they use vibrations, hot and cold therapy, and even LED light to ease post-workout pain and promote muscle recovery. Massage guns relieve muscle tension and increase blood flow for faster recovery . In her words, "As we exercise, we cause breakdown within the muscle fibers, which in turn stimulates muscle growth and regrowth, hypertrophy, and strength." After consulting the experts and testing them on myself pre-and post-workout, I've rounded up a lineup of the best massage guns, like our top pick, the Hyperice Hypervolt 2 ($229) .

This is high-end recovery gear that's worthy of professional athletes. It's a lot easier to stick to your resolutions when you recover faster. We may earn revenue from the products available on this page and participate in affiliate programs. Recovery gear is not a substitute for sleep, smart training, or eating with fitness in mind, but it can make the day-after soreness far less annoying. Hyperice has discounts right now on Normatec compression systems, Hypervolt percussion massagers, and joint-focused heat therapy that's built for the spots that complain the loudest.

Dreame's robot vacuum with an arm is back at CES 2026 and it can do more than pick up shoes The Cyber 10 Ultra has its own attachments for reaching hard-to-get places. Dreame's Cyber10 Ultra has an arm that can grab objects and clean hard to reach areas. Last year at CES, Dreame showed off a robot vacuum prototype with a mechanical arm . But while we were able to see the arm extend and retract, we didn't see the device, which was described as a prototype at the time, actually grab anything, which was a bit disappointing. This year, though, the company has made its arm-enabled vacuum a reality with the Cyber 10 Ultra.

From robot vacuums to Dyson stick vacs, don't miss these Cyber Monday vacuum deals happening on our favorite vacuums in every category. There's a lot of shopping you can do this weekend, but these Cyber Monday vacuum deals are ones you shouldn't skip if you need any kind of cleaning upgrade. Changing to a stick vacuum hugely improved my life after moving to a three-story home, but all kinds of vacuum types can turn your life around. Never have time to vacuum or mop? You'll want a handheld vacuum .

Knowledge graph-based dialogue generation (KG-DG) is a challenging task requiring models to effectively incorporate external knowledge into conversational responses. While large language models (LLMs) have achieved impressive results across various NLP tasks, their ability to utilize external knowledge in KG-DG remains under-explored. We observe that LLMs often rely on internal knowledge, leading to detachment from provided knowledge graphs, even when they are given a flawlessly retrieved knowledge graph. First, we introduce LLM-KAT, an evaluation procedure for measuring knowledge attachment in generated responses. Second, we propose a simple yet effective entity anonymization technique to encourage LLMs to better leverage external knowledge. Experiments on the OpenDialKG dataset demonstrate that our approach improves LLMs' attachment on external knowledge.

Phishing emails continue to pose a significant threat to cybersecurity by exploiting human vulnerabilities through deceptive content and malicious payloads. While Machine Learning (ML) models are effective at detecting phishing threats, their performance largely relies on the quality and diversity of the training data. This paper presents MeAJOR (Merged email Assets from Joint Open-source Repositories) Corpus, a novel, multi-source phishing email dataset designed to overcome critical limitations in existing resources. It integrates 135894 samples representing a broad number of phishing tactics and legitimate emails, with a wide spectrum of engineered features. We evaluated the dataset's utility for phishing detection research through systematic experiments with four classification models (RF, XGB, MLP, and CNN) across multiple feature configurations. Results highlight the dataset's effectiveness, achieving 98.34% F1 with XGB. By integrating broad features from multiple categories, our dataset provides a reusable and consistent resource, while addressing common challenges like class imbalance, generalisability and reproducibility.

Suckers are significant for robots in picking, transferring, manipulation and locomotion on diverse surfaces. However, most of the existing suckers lack high-fidelity perceptual and tactile sensing, which impedes them from resolving the fine-grained geometric features and interaction status of the target surface. This limits their robust performance with irregular objects and in complex, unstructured environments. Inspired by the adaptive structure and high-performance sensory capabilities of cephalopod suckers, in this paper, we propose a novel, intelligent sucker, named SuckTac, that integrates a camera-based tactile sensor directly within its optimized structure to provide high-density perception and robust suction. Specifically, through joint structure design and optimization and based on a multi-material integrated casting technique, a camera and light source are embedded into the sucker, which enables in-situ, high-density perception of fine details like surface shape, texture and roughness. To further enhance robustness and adaptability, the sucker's mechanical design is also optimized by refining its profile, adding a compliant lip, and incorporating surface microstructure. Extensive experiments, including challenging tasks such as robotic cloth manipulation and soft mobile robot inspection, demonstrate the superior performance and broad applicability of the proposed system.