Soil quality refers to the condition of soil based on its capacity to perform ecosystem services that meet the needs of human and non-human life. Soil
The rapid advancement of Large Language Models (LLMs) has introduced significant challenges in moderating user-model interactions. While LLMs demonstrate remarkable capabilities, they remain vulnerable to adversarial attacks, particularly ``jailbreak...
Jan 26, 2026 · GitHub Copilot CLI (@github/copilot): Command-line AI capabilities GitHub Copilot SDK (github-copilot-sdk): Programmatic AI interactions Copilot Skills: Custom PR analysis behaviors …
Are men’s pants suitable for both work and casual wear? Many styles of men’s pants are capable of bridging the gap between professional and relaxed settings, provided the fabric and cut are chosen …
In the paper, we introduce a paper reading assistant, PaperHelper, a potent tool designed to enhance the capabilities of researchers in efficiently browsing and understanding scientific literature. Utilizing the Retrieval-Augmented Generation (RAG) f...
Large language models (LLMs) have demonstrated excellent capabilities in generating structured diagrams from natural language descriptions. In particular, they have shown great promise in generating sequence diagrams for software engineering, typical...
the capability to record in 16:9. It is the only aspect ratio natively supported by Blu-ray Disc, but Blu-ray producers can also choose to show even a wider
This article connects the concepts and phenomena of Design AI, AI in creative industries and AIs capacity for creativity. It links Design AI to UX design and UX designer discourse. Its vagueness and the prominence of UX designers as speakers and writ...
In nuclear strategy, a retaliatory strike or second-strike capability is a country's assured ability to respond to a nuclear attack with powerful nuclear
A relief airport or reliever airport is an airport that is built or designated to provide relief or additional capacity to an area when the primary commercial
Rocky planets are common around other stars, but their atmospheric properties remain largely unconstrained. Thanks to a wealth of recent planet discoveries and upcoming advances in observing capability, we are poised to characterize the atmospheres o...
Evaluations of dangerous AI capabilities are important for managing catastrophic risks. Public transparency into these evaluations - including what they test, how they are conducted, and how their results inform decisions - is crucial for building tr...
Tendon and ligament injuries are debilitating conditions across species. Poor regenerative capacities of these tissues limit restoration of original functions. The first study of this dissertation evaluated the effect of cellular administration on te...
Purpose: To assess the capability of deep convolutional neural networks to classify anatomical location and projection from a series of 48 standard views of racehorse limbs. Materials and Methods: 9504 equine pre-import radiographs were used to tra...
Restoration of hand function is one of the highest priorities for SCI populations. In this work, we present a prototype of a robotic assistive orthosis capable of implementing tenodesis user control. The underactuated device provides active grasping...
In what capacity are affective augmentations helpful to humans, and what risks (if any) do they pose? In this position paper, we outline three works on affective augmentation systems, where our studies suggest these systems have the ability to influe...
The utility of limited feedback for coding over an individual sequence of DMCs is investigated. This study complements recent results showing how limited or noisy feedback can boost the reliability of communication. A strategy with fixed input dist...
Jan 15, 2026 · As technology becomes a larger part of our lives and economy, Tract provides master-planned data center parks to facilitate speed and certainty in developing new data center capacity.
Recent progress in large-scale reinforcement learning (RL) has notably enhanced the reasoning capabilities of large language models (LLMs), especially in mathematical domains. However, current multimodal LLMs (MLLMs) for mathematical reasoning often...
Large language models (LLMs) have demonstrated impressive reasoning capabilities, particularly in textual mathematical problem-solving. However, existing open-source image instruction fine-tuning datasets, containing limited question-answer pairs per...