Category
2,906 papers
This work proposes Targeted Anti-obfuscation with Mechanistic Enforcement (TAME), which uses Sparse Autoencoders (SAEs) to combine behavioral feedback with targeted suppression of template-associated activations during RL, providing a path from behavioral monitoring to representation-level oversight for more auditable...
RoboTalk is introduced, a synthetic data-generation pipeline and dataset of 7,950 multimodal trajectories spanning 53 mobile-manipulation kitchen tasks for training small VLMs to communicate and coordinate and fine-tuning open-source models on this dataset can reach 77% success on novel held-out tasks.
It is argued that office AI is better understood as part of an emerging sociotechnical assemblage than as a tool added to an otherwise stable workplace.
Results indicate that temporal memory is an attack surface that BEV security evaluation has not yet accounted for, and that cross-modal semantic verification is a promising, if not yet field-validated, direction for defending it.
Reach audiences
Advertise in front of researchers, engineers, and readers.
Penicillin allergy is recorded in roughly one in ten hospital patients, yet fewer than one in ten of those records reflects a real, clinically significant allergy. The mismatch matters: patients with a penicillin label receive more second-line and broader-spectrum antibiotics, with measurable downstream costs in infect...
The proposed FastVSearch method bridges efficient data indexing and deep multimodal understanding, enabling practical deployment for large-scale video search applications.
衛生行政報告例(令和6年度)の第5表から、墓地・火葬場・納骨堂の数を経営主体別に数え、I010 で数えた火葬件数と突き合わせた。 墓地は876,042区域、火葬場は3,511施設、納骨堂は13,853施設。47都道府県の合計は4つとも全国の値とぴたり一致する。墓地は火葬場の250倍、恒常的に使用している火葬場の649倍ある。 火葬場3,511のうち、過去1年以内...
🌟 Summary Ultralytics 8.4.158 improves YOLO26 training reliability, model export compatibility, data handling, inference backends, and Ultralytics Platform workflows. 🚀 📊 Key Changes 🔄 Mosaic augmentation now stays closed after OOM recovery Fixed a training issue where automatic batch-size reduction rebuilt the dat...
小規模事業者が置かれている条件を、最低賃金(令和8年度答申)・消費者物価地域差指数(2024年)・1人あたり課税対象所得(令和7年度)・商業地の地価(令和8年 地価公示)の4つで、47都道府県について並べた。 地域差の大きさが、費目によって桁で違う。上と下の比は、消費者物価 1.081倍、最低賃金(現行)1.198倍、1人あたり課税対象所得 1.85倍、商業...
Background: Small Language Models (SLMs) running on local hardware can reduce the privacy, latency, and cost concerns associated with cloud-based Large Language Models (LLMs) in healthcare, but deciding when to use them is typically informal and unsystematic in current practice. The problem is compounded by model turno...
Mapping host activity to the MITRE ATT&CK framework usually needs manual work or a cloud-hosted large language model, which raises privacy and cost concerns for small organisations that cannot send their logs off-host. We ask whether a small language model (SLM), running locally and without fine-tuning, can classify Li...
Introduction: Sequential drinking requires repeated swallowing with brief interruptions in breathing. Speech-language pathologists may notice oxygen saturation changes during drinking tasks, but interpretation is difficult without healthy comparison data collected at the time of physiologically verified swallowing acti...
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
Earth AI
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
