ImageNet++, no toxic images were found, indicating that the dataset's captions are safe.

Neural Information Processing Systems http://nips.cc/

The data-driven nature of modern machine learning (ML) training routines puts pressure on data supply pipelines, which become increasingly more complex. It is common to find separate disks or whole content distribution networks dedicated to servicing massive datasets. Training is often distributed across multiple workers. This emergent complexity gives a perfect opportunity for an attackertodisrupt ML training, while remaining covert.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by Refinitiv Lipper . Retired FBI agent explains how the real-life'Sopranos' were dismantled from the inside Concerns remain over AI's impact on young people amid boom Tech expert praises New York's school cellphone ban as social media concerns rise Trump advisor details administration's push to boost AI hiring Kash Patel to close FBI's Hoover building in DC permanently Santa is'PACKING HEAT' during a traffic stop Fox News Flash top headlines are here. Check out what's clicking on FoxNews.com. NEW You can now listen to Fox News articles! Every January, the Consumer Electronics Show, better known as CES, takes over Las Vegas.

When you purchase through links in our articles, we may earn a small commission. From smart locks powered by light waves to a robot lawn mower that can pick fruit, these are the coolest new smart products we saw in Las Vegas this year. The latest edition of the Consumer Electronics Show in Las Vegas is already drawing to a close, and once again, we've seen some truly impressive smart home and home security innovations--and as usual, some are more likely to ship than others. We're not counting on the robot lawn mower that picks fruit and lobs tennis balls to canines to actually land in stores, but it certainly counts as one of the biggest attention-getters in Vegas this week. We also saw some far more practical smart products that wowed us, from the smart lock that's powered by light waves to the new go-almost-anywhere Ring sensors that connect to Amazon's growing patchwork of Sidewalk neighborhood networks.

These plant-based meal kits and delivery services bring healthy preprepared meals and meal kits to your door. Plant-Based meal kit services are a modern miracle for vegetarians and vegans, who usually aren't afforded the same conveniences as meat eaters or those without dietary restrictions. We at WIRED love meal kits, because they're all about modern convenience--you can eat what you want, even if you're on a specialty diet or have strong food preferences, without ever leaving your house. Gone are the days of grocery shopping and scouring online for recipes; these contemporary plant-based meal kit services do the heavy lifting for you using curated menus and algorithms, with choices for both premade microwavable meals and kits where you do the cooking yourself. Some plant-based meal kit services, like Hungryroot, use AI customization to curate menus based on your specific tastes. Others, like Daily Harvest, have a set selection of choices so you can always keep your freezer stocked with plant-based, gluten-free meals to have on hand. I'm vegan, so I know how difficult it can be to find new recipes that will actually taste good without breaking the bank. Plus, plant-based meal kits are a great way to try out new foods and recipes, especially if you're looking to switch to a healthier diet in the new year.

Understanding animal behaviour is central to predicting, understanding, and miti-gating impacts of natural and anthropogenic changes on animal populations andecosystems. However, the challenges of acquiring and processing long-term, eco-logically relevant data in wild settings have constrained the scope of behaviouralresearch. The increasing availability of Unmanned Aerial Vehicles (UAVs), cou-pled with advances in machine learning, has opened new opportunities for wildlifemonitoring using aerial tracking. However, the limited availability of datasets with wildanimals in natural habitats has hindered progress in automated computer visionsolutions for long-term animal tracking. Here, we introduce the first large-scaleUAV dataset designed to solve multi-object tracking (MOT) and re-identification(Re-ID) problem in wild animals, specifically the mating behaviour (or lekking) ofblackbuck antelopes. Collected in collaboration with biologists, the MOT datasetincludes over 1.2 million annotations including 680 tracks across 12 high-resolution(5.4K)

Urban mobility analysis has been extensively studied in the past decade using a vast amount of GPS trajectory data, which reveals hidden patterns in movement and human activity within urban landscapes. Despite its significant value, the availability of such datasets often faces limitations due to privacy concerns, proprietary barriers, and quality inconsistencies. To address these challenges, this paper presents a synthetic trajectory dataset with high fidelity, offering a general solution to these data accessibility issues. Specifically, the proposed dataset adopts a diffusion model as its synthesizer, with the primary aim of accurately emulating the spatial-temporal behavior of the original trajectory data. These synthesized data can retain the geo-distribution and statistical properties characteristic of real-world datasets. Through rigorous analysis and case studies, we validate the high similarity and utility between the proposed synthetic trajectory dataset and real-world counterparts. Such validation underscores the practicality of synthetic datasets for urban mobility analysis and advocates for its wider acceptance within the research community. Finally, we publicly release the trajectory synthesizer and datasets, aiming to enhance the quality and availability of synthetic trajectory datasets and encourage continued contributions to this rapidly evolving field.