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2,572 papers
This paper presents DS-CTAN, a lightweight two-stream network for facial expression recognition in edge-based distributed systems. Designed for heterogeneous devices such as mobile phones, Jetson, and Raspberry Pi with TPU, it combines spatial feature extraction with temporal attention to capture dynamic facial movemen...
Code and analysis outputs supporting the manuscript. Every quantity reported in the paper is drawn from the JSON files in analysis/, each produced by a script in scripts/. The study uses three kinds of data: the complete on-chain USDT histories of the 490 addresses named in Israeli counter-terrorism seizure orders and...
Machine vision systems face severe bandwidth‐latency bottlenecks and high power consumption due to massive unstructured data transfer. Edge computing via sensor‐level nonlinear computation offers a promising pathway to reduce data volume. However, existing breakdown‐based neuromorphic photodiodes typically rely on...
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Mirror, Mirror, in XR: Motion-Capture Dataset, Processing Pipeline, and Analysis Code Description This deposit contains the full data-processing and analysis pipeline underlying a within-subjects VR study of imposed social mirroring. Twelve dyads (24 participants) held structured conversations under three counterbalanc...
Harnesses and raw results for the experiments added in the J.UCS revision of the paper Deploying LLM Inference on a Repurposed UMA APU: Transferable Lessons from a Vulkan-Only, 16 GB Edge Platform. Contents: benchmarks/bench-a*.py, benchmarks/diag-*.py, benchmarks/heads.py: measurement harnesses (KV-cache width versus...
Intensive Care Units (ICUs) manage critically ill patients through continuous monitoring and life-sustaining interventions. Traditional monitoring systems, while essential, often suffer from data silos, alarm fatigue, and limited integration, hindering timely clinical decisions. In the recent past, the development of a...
This research note gives three sharp refinements to Appendix C, “Realizing the admissible stress cone,” of OpenAI’s 2026 preprint Finite Time Blowup for Navier–Stokes. First, the implicit scalar variance-selection step in Lemma C.1 is replaced by an algebraic Poisson-kernel parameterization. The associated upper admiss...
Bug-fix release. No options were added or removed. The thirty fixes below came out of a coverage push that took the test suite from 311 to 718 tests and line coverage from 68 to 95 percent, and out of the bug reports filed along the way. Several fixes change reported numbers: a multi-allelic codon now counts each of it...
The rapidly increasing data and digitization cause several challenges in the healthcare industry, with the increasing demand for high data, such as electronic health records (EHRs)-related data, medical imaging data, patient monitoring systems, and big data technology. So by updating, customizing treatments and streaml...
MATLAB implementation, instance files, saved results and figure scriptsreproducing every figure in the manuscript "Joint Communication,Computation, and Trajectory Optimization for UAV-Enabled Mobile EdgeComputing in Smart City IoT Networks" (Scientific Report under review, 2026). The package implements FAMIO, a feasibi...
This research note gives three sharp refinements to Appendix C, “Realizing the admissible stress cone,” of OpenAI’s 2026 preprint Finite Time Blowup for Navier–Stokes. First, the implicit scalar variance-selection step in Lemma C.1 is replaced by an algebraic Poisson-kernel parameterization. The associated upper admiss...
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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