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2,492 papers
This is the first GitHub release since v0.1.0, so it covers everything added in 0.2.0 and 0.3.0 as well. Full detail is in CHANGELOG.md. spec-echem synchronises a potentiostat with a UV-Vis spectrometer for spectroelectrochemistry, so that optical and electrochemical data share one time base. It is still pre-release: t...
With the proliferation of Internet of Things (IoT) applications, a massive amount of data has been produced, requiring an efficient platform to store and process this data. Cloud computing has the ability to tackle such enormous data, but cannot provide real-time response to latency sensitive IoT applications. Fog comp...
Code, frozen pre-registration protocols, analysis outputs, figures and manuscripts for the preprint Null-model treatment of the sensory-motor boundary changes an evolutionary connectome comparison. Agents whose brain is a compressed adult Drosophila FlyWire v783 connectome evolve in a 2D foraging world next to populati...
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Autonomous AI agents typically rely on multi-turn ReAct loops that demand repeated system-prompt evaluation, persistent state tracking, and frequent tool selection. On constrained edge hardware—especially CPU-only devices with approximately 8 GB of RAM—this style of orchestration creates two compounding failure modes:...
This technical white paper provides a practical introduction to 6G and the evolution from 5G-Advanced toward the ITU IMT-2030 framework. It covers the 6G vision, standardisation status, usage scenarios, capability targets, system architecture, AI-native networks, AI/ML in RAN and network operations, integrated sensing...
Remote patient monitoring (RPM) has evolved to be one of the ground-breaking approaches in the current healthcare sector since it enables the monitoring of the patient 24/7 and in cases other than when the patient is in the typical clinical environment. RPM in combination with immersive health technologies like virtual...
This deposit contains the raw measurement data, result figures, and evaluationscript behind the evaluation chapter of the Master's thesis "Addressing Edge-CloudMicroservices SLOs with Scalable Theodolite Across Multiple Kubernetes Clusters"(Ravish Kumar, Kiel University, 2026). The study benchmarks a collaborative edge...
The swift evolution of wearable artificial intelligence (AI) systems has significantly impacted continuous health monitoring, personalized healthcare, and human–machine interaction. At the heart of this revolution is the complementary convergence of edge and cloud computing models, which together facilitate scalable, r...
Rheumatoid arthritis (RA) is a chronic autoimmune disorder. This chapter discusses in detail the convergence of artificial intelligence (AI), wearables, and the metaverse for managing RA. It focuses on fitness trackers, intelligent companions, and continuous health for the management of RA. The chapter also examines ed...
This deposit contains one finite symbolic word, the tool used to analyse it, and the report the tool produces. The word was made by applying the EOA beta-operator to a phonetic encoding called E5. The input was the spoken English letter name "a". The control parameter, LCR, was set to 3.14159. The word itself, its SHA-...
Release produced from an independent scientific and software review of v3.0.21 against the manuscripts the pipeline implements (Koelmel et al. 2022, Brunet et al. NYCSS manuscript + SI, Kwiecien et al. 2015). Finding IDs (S-* scientific, D-* design) refer to that review; every finding is pinned by a test in the new tes...
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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