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2,752 papers
Abstract Twenty-five centuries of moral exhortation have not visibly made people better calibrated. This paper offers an explanation: the person being exhorted has not made a mistake. In adversarial environments the individually optimal belief bias Δ★ may be strictly positive while the collectively optimal bias is zero...
enhancements and mechanisms are needed to push determinism deeper into the application layer and across multi-domain paths.The integration of 5G, TSN, and Open Platform Communications Unified Architecture (OPC UA) is not yet fully mature, with ongoing standardisation work in 3rd Generation Partnership Project (3GPP), I...
Intelligent vision systems demand photodetectors with reconfigurable response to support diverse modalities like high-speed sensing and neuromorphic processing. Here we show a bias-reconfigurable barrier photodetector that enables continuous modulation of response time across 7 orders of magnitude, from 614 ns to 8.28...
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Modern research infrastructures increasingly span heterogeneous environments, including cloud computing, high-performance computing (HPC), edge computing nodes, and most recently quantum computers (QC). This diversity challenges traditional perimeter-based security models and demands more agile, robust cybersecurity so...
Tree rearrangements such as Nearest Neighbor Interchange (NNI) and Subtree Prune and Regraft (SPR) are commonly used to explore phylogenetic treespace. Computing distances based on them, however, is often intractable, so the efficiently computable Robinson-Foulds (RF) distance is used in practice. We investigate how th...
The rapid convergence of the Internet of Things (IoT), Blockchain, Artificial Intelligence (AI), and Machine Learning (ML) is fundamentally reshaping the landscape of modern digital infrastructure. While each of these paradigms has individually driven massive technological leaps, their true transformative power lies in...
Abstract—The proliferation of Internet of Things (IoT) devices has created an unprecedented surge in decentralized telemetry, sensor data, and localized computational workloads. Conventional cloud-centric machine learning architectures require centralized pooling of raw edge data, which induces prohibitive wide-area ne...
In the framework of edge-weighted graphs, watersheds have proven to be linked to well-known optimization problems, as Minimum Spanning Tree, which allowed the design of efficient algorithms for computing (hierarchical) watershed segmentations. In the present article, after reviewing the literature related to watershed...
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
A Blog post by Liquid AI on Hugging Face
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.
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