Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Pioneering biostatistician and infectious disease expert Dr. Elizabeth Halloran recently transitioned to emerita after a ...

Develop and validate causal models to evaluate the impact of marketing campaigns and initiatives, leveraging advanced statistical methods for causal inference. Design and implement randomized ...

Researchers in the Industrial Organization (IO) program study consumer and firm behavior, competition, innovation, and government regulation. This report begins with a brief summary of general ...

On HMMT Feb 25, a rigorous reasoning benchmark, Qwen3-Max-Thinking scored 98.0, edging out Gemini 3 Pro (97.5) and ...

Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design” was published by researchers at ...

Local AI concurrency perfromace testing at scale across Mac Studio M3 Ultra, NVIDIA DGX Spark, and other AI hardware that handles load ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

FreqExit is a dynamic inference framework for Visual AutoRegressive (VAR) models, which decode from coarse structures to fine details. Existing methods fail on VAR due to the absence of semantic ...

Abstract: The development of power systems requires advanced technologies for transient voltage measurement. In non-contact measurement, accurately determining the coupling parameters between the ...

A decade ago, when traditional machine learning techniques were first being commercialized, training was incredibly hard and expensive, but because models were relatively small, inference – running ...