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2,572 papers
This monograph presents a conceptual and architectural framework for Meta-Computing as a mechanism for adaptive optimization of AI workloads in distributed computing systems. The work proposes a Meta-Computing Architecture (MCA) that integrates runtime observation, meta-level analysis, adaptive control, and continuous...
Neither too conservative nor too liberal: routing R×C tables of independence to the most efficient valid test William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell, Lowell, MA, USA. ORCID 0009-0004-0855-7222. License: MIT for all code; CC BY 4.0 for documents, fi...
Real-time applications are systems designed toprocess continuous streams of data and respond to externalevents within strict and predictable latency constraints. Withthe proliferation of cloud-native platforms, Internet of Things(IoT) ecosystems, financial trading systems, and interactiveweb applications, traditional s...
DECISION: REJECT ELEMENT: No element survives — the ACCUMULATION filter is a regime label, not a timing edge, and cannot be grafted onto E8's geometry without redefining the node's phase logic. EXPECTED IMPACT: Win-rate gain is real but misleading — +12.2pp on n=120 is within noise for quarterly splits (4–5 quarters pe...
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This monograph presents a conceptual and architectural framework for Meta-Computing as a mechanism for adaptive optimization of AI workloads in distributed computing systems. The work proposes a Meta-Computing Architecture (MCA) that integrates runtime observation, meta-level analysis, adaptive control, and continuous...
This conference poster presents WatchEDGE smart cameras for real-time wildlife detection at the far edge. Animals can severely affect crops, making continuous monitoring important for both farm management and wildlife protection. The work investigates deep-learning-based animal detection on resource-constrained far-edg...
DECISION: REJECT ELEMENT: No element survives — the ACCUMULATION filter is a regime label, not a timing edge, and cannot be grafted onto E8's geometry without redefining the node's phase logic. EXPECTED IMPACT: Win-rate gain is real but misleading — +12.2pp on n=120 is within noise for quarterly splits (4–5 quarters pe...
Real-time applications are systems designed toprocess continuous streams of data and respond to externalevents within strict and predictable latency constraints. Withthe proliferation of cloud-native platforms, Internet of Things(IoT) ecosystems, financial trading systems, and interactiveweb applications, traditional s...
Edge computing is developed as a promising solution operating and performing modern web applications with low latency, fast load times, and efficient resource uses near the source of the data. This content describes an end-to-end framework involving front-end, back-end, and edge-layer optimizations, while introducing a...
Author's note. This monograph consolidates the program corpus listed at the foot of this description. As the program has grown, each new result was propagated across an expanding set of documents, and the set became unmanageable. Consolidation also surfaced inconsistencies between documents written at different stages...
This technical note presents validated shove and call ranges for 4-player all-in-or-fold poker at 8 big-blind effective stacks. The strategy was produced using delayed-linear weighted-averaging Monte Carlo Counterfactual Regret Minimization (MCCFR), trained from iteration zero to 4,000,000 across two independent seeds...
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work and cyber defense, rolling out soon.
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