Research Correspondent
Elena Voss covers model development and the ideas behind new research. Her beat follows the distance between a promising paper and a result that holds up outside the lab. She favors clear explanations, original sources and questions that a benchmark score alone cannot answer.
2,903 published articles · Showing 1261–1280
Lee Douglas, Deep Tech Correspondent Two new research papers, appearing almost simultaneously on arXiv, signal significant advancements in AI's ability to navigate the messy, uncertain landscapes o......
Read article →Lee Douglas, PhD Machine learning models, increasingly tasked with high-stakes decisions, often face a critical blind spot: the world they operate in rarely stays static after training. New researc......
Read article →Lee Douglas, Deep Tech Correspondent This week, two significant pre-print papers have landed on arXiv, offering potential advancements in distinct but crucial areas of computation: algebraic geomet......
Read article →A novel AI approach called AirGlove is set to revolutionize how we interact with robots and virtual worlds, promising seamless tracking of any sensing glove regardless of its appearance. This break......
Read article →The complex, often laborious, process of preparing tabular data for machine learning is getting a significant upgrade, thanks to a new framework called SemPipes. This innovative approach leverages ......
Read article →Lee Douglas, Deep Tech Correspondent The quest to truly understand meaning within artificial intelligence has long relied on a simple, yet surprisingly limited, mathematical tool: cosine similarity......
Read article →Deep in the silicon heart of our most advanced AI systems lies a potential blind spot: when tasked with medical diagnoses, they can fall back on "shortcuts," relying on irrelevant visual cues rathe......
Read article →Lee Douglas, PhD, reporting. A pair of new research papers published on arXiv are pushing the boundaries of artificial intelligence, tackling two fundamental aspects of human communication: underst......
Read article →Lee Douglas, Deep Tech Correspondent In the relentless pursuit of cleaner, more reliable data for artificial intelligence, two new research papers offer compelling solutions to long-standing image-......
Read article →Lee Douglas, Deep Tech Correspondent Researchers have unveiled a novel AI system that can judge the quality of generated videos with uncanny accuracy, potentially revolutionizing how we train and e......
Read article →The increasing reliance on Large Language Models (LLMs) as evaluators in sensitive domains like financial risk assessment is raising critical questions about their reliability and inherent biases. ......
Read article →Lee Douglas New research tackles a thorny problem in artificial intelligence: what happens when people try to game the system to get a better outcome from an AI? The answer, it turns out, might inv......
Read article →Researchers have unveiled COFFEE, a novel framework designed to meticulously model and optimize the carbon footprint of emerging non-volatile memory (eNVM) technologies, specifically focusing on ha......
Read article →Lee Douglas, Deep Tech Correspondent A significant leap forward in the computationally intensive world of 3D volume rendering promises to make realistic visualizations of complex phenomena, from me......
Read article →The quest for more data to improve Artificial Intelligence systems, particularly in crucial areas like prognostics and health management (PHM), might be leading us astray. A new paper from research......
Read article →Recent breakthroughs in artificial intelligence are enabling Large Language Model (LLM) agents to interact with complex external systems, but guiding these agents effectively has remained a signifi......
Read article →Lee Douglas, Deep Tech Correspondent In the relentless pursuit of more capable and stable neural transformer models, two new research papers, both posted to arXiv this week, offer intriguing advanc......
Read article →A new academic paper, "E-Globe: Scalable $\epsilon$-Global Verification of Neural Networks via Tight Upper Bounds and Pattern-Aware Branching," released on arXiv, introduces a significant advanceme......
Read article →Lee Douglas, Deep Tech Correspondent A novel approach dubbed UniTrack promises to dramatically enhance how artificial intelligence perceives and tracks multiple moving objects, a fundamental challe......
Read article →The quest for reliable AI-generated medical information has taken a significant leap forward with the introduction of two novel research frameworks designed to enhance accuracy and trustworthiness.......
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