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2,492 papers
Grow balls of squared radius t about the points of D_9^+ = D_9 ∪ ((1/2)^9 + D_9), with contact distance √2, and follow the uncovered part of the torus R^9/D_9 as t falls from the squared covering radius 17/16 to 0. Its persistent homology has 37 critical levels and 55 classes of bars. It is the same over the rationals...
The 10-GHz Topological Routing Engine: Overcoming the Von Neumann Bottleneck in Large-Scale Integer Analysis Abstract Modern computational mathematics remains bounded by a fundamental material compromise: as the bit-width of an integer operation scales, the clock frequency of the underlying physical hardware decays exp...
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...
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Modern autonomous agents predominantly manage state and memory through static vector embeddings and flat nearest-neighbor (k-NN) retrieval mechanisms. While effective for isolated semantic lookups, this mechanical paradigm suffers from severe cognitive pathologies in long-horizon reasoning tasks: lack of temporal recen...
Real-time estimation of full unsteady aerodynamic flow fields $\mathbf{u}(\mathbf{x}, t) = (u, v)$ from ultra-sparse discrete sensor observations (e.g., $M \le 10$ point velocity probes across thousands of grid cells) is a foundational challenge in active flow control, wind tunnel telemetry, and unmanned aerial vehicle...
This chapter provides a comprehensive overview of the transformative role of deep learning (DL) in plant biology and agriculture. It begins by establishing the foundational concepts of DL and examining the confluence of factors, including big data availability and advancements in computational power, that have propelle...
X-ray photoelectron spectroscopy analysis toolkit: high-throughput Voigt fitting and the analysis foundation around it. v0.2.0 adds two experimental diagnostics — how well a spectrum determines the Voigt widths, and energy-axis calibration on a Fermi edge — three runnable examples, and a set of corrections. No existing...
What This IsThe NUMEN Autonomy Integrity Suite is a complete formal verification framework that establishesa mathematically certified chain of trust for measuring behavioral safety in autonomous AI sys‐tems. It consists of five integrated layers:autonomy_eval.py (933 lines) — A behavioral health measurement tool that e...
In the fields of emergency communication and disaster rescue, satellite plays a pivotal role due to its extensive coverage and robust resistance to damage, serving as a critical support mechanism in extreme environments. However, the traditional satellite data processing paradigm exhibits significant limitations in ter...
As system decentralization heterogeneous resource constraints and the uncertain threat against quantum computing are introduced by rapid growth of edge-cloud computing infrastructures, this develop also raises new security challenges.Traditional security architectures depend on stationary cryptographic deployments and...
This software package contains the reproducibility code used to construct and validate the dataset of inter-county distances along the real-world highway and railway networks in the contiguous United States. The workflow implements the QGIS–RStudio crosswalk described in the accompanying study, integrating geographic i...
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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