According to a recent Gartner analysis on why GenAI projects fail, roughly half of generative AI initiatives are abandoned ...
High-performance computing (HPC) plays a critical role in scientific discovery, engineering simulation, and data-intensive applications. Open Multi-Processing (OpenMP) is one of the most widely ...
Long-term fairness in sequential decision-making is critical yet challenging, as decisions at each time step influence future opportunities and outcomes, potentially exacerbating existing disparities ...
Microsoft Research conducts fundamental science and technology research across a spectrum of research areas. With labs around the globe we pursue breakthroughs across the computing and AI stack to ...
Abstract: Accurate short-term traffic flow prediction is essential for optimizing transportation systems and mitigating urban congestion. Accurate short-term traffic flow prediction, which is critical ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
In recent weeks, the United States has approached Indonesia to join the Mineral Security Partnership (MSP), a coalition of 14 countries and the European Union aimed at securing critical mineral supply ...
Seq2Pat (AI Magazine'23, AAAI'22) is a research library for sequence-to-pattern generation to discover sequential patterns that occur frequently in large sequence databases. The library supports ...
aClinical and Population Sciences Department, Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, LS2 9JT, UK ...
Abstract: We consider the dynamic spectrum access problem in wireless sensor networks, where the unlicensed sensor nodes opportunistically access the licensed channels when they are not used by the ...
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