AI coding benchmark MirrorCode published its full results June 26, showing Claude Opus 4.7 autonomously rebuilt a 60,000-line interpreter and scored 56% overall — completing tasks that take human ...
TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...
Discover why the transition from AI chatbots to autonomous agents is raising alarms about data loss, action blindness, and ...
Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
2 Department of Respiratory Epidemiology, GlaxoSmithKline R&D, Uxbridge, UK 3 Department of Respiratory Epidemiology, GlaxoSmithKline R&D, ResearchTriangle Park, North Carolina, USA Objectives The ...
Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...
Abstract: This study proposes a novel solution for the detection of keyframes for static video summarization. We preprocessed the well-known video datasets by coding them using the HEVC video coding ...
Neurologists use millisecond-level M/EEG tracking to prove the human brain and AI language models organize and predict language using parallel processing principles.
Most legal technology shifts do not announce themselves with trumpets. They slip into ordinary practice first. Email was once ...
Opinion: Maryland needs leaders making healthcare policy who actually understand the reality of AI in clinical practice, ...
We use positive and unlabeled (PU) learning to address this challenge. Objective: This study aims to identify US Veterans whose self-harm events were not explicitly captured through diagnostic codes ...
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