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2,572 papers
NEXUS is presented, a unified framework that establishes a systematic methodology for accelerating emerging AI workloads on commercial-off-the-shelf (COTS) Neural Processing Units (NPUs) and introduces a general systematic three-step approach.
A joint comparison of the outcomes of edge detection techniques provides a more thorough knowledge of the capabilities of the algorithms to identify image edges. Edge detection methods are classified as conventional edge detection, soft computing edge detection and deep learning edge detection strategies. Detection eff...
Stable release for Windows. Includes all core EIS fitting features. What's New in v3.0.1 ZScope 2.x.x was a very good tool for fitting one spectrum. This release is about everything around that: understanding what your circuit is doing, controlling how it is fitted, deciding which circuit is right, and — the reason for...
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Active volcanic regions require a fundamental shift from manual, expert-committee-dependent response models toward closed-loop automated architectures. This study proposes an integrated early warning framework that combines the Tensor Stress Index (TSI_{t+1}) function, edge computing (Edge AI), and distributed communit...
Introduction fMRI foundation models have grown rapidly in size [1-2], but scale may be suboptimal for neuroimaging given domain constraints and interpretability needs. BrainSymphony instead embeds neurobiological priors to build a lightweight, parameter-efficient, multimodal model capturing spatiotemporal BOLD dynamics...
Projective KV-Cache: Slashing LLM Memory Costs by 50%–75% Without Context Amnesia (Empirical Validation on GPT-2) The Executive Problem: Large Language Models (LLMs) processing long documents face an expensive bottleneck: the Key-Value (KV) Cache. Storing every token's attention memory in GPU VRAM creates immense hardw...
Active volcanic regions require a fundamental shift from manual, expert-committee-dependent response models toward closed-loop automated architectures. This study proposes an integrated early warning framework that combines the Tensor Stress Index (TSI_{t+1}) function, edge computing (Edge AI), and distributed communit...
Projective KV-Cache: Slashing LLM Memory Costs by 50%–75% Without Context Amnesia (Empirical Validation on GPT-2) The Executive Problem: Large Language Models (LLMs) processing long documents face an expensive bottleneck: the Key-Value (KV) Cache. Storing every token's attention memory in GPU VRAM creates immense hardw...
Immunoglobulin G4 (IgG4)-related disease (IgG4-RD) is an immune-mediated fibroinflammatory disease that affects almost all body organs. Although ocular manifestations such as lacrimal gland inflammation, orbital myositis, scleritis, and uveitis have been reported, there are currently no reports of ocular vascular invol...
-- ============================================================-- Applied Identity Physics — Combined Lean 4 Compilation Unit-- Released by SNSFT Foundation · Soldotna, Alaska-- ============================================================---- Architect: HIGHTISTIC (Russell Trent)-- Corpus: Substrate-Neutral Structural...
Stakeholder testing shows the Edge Proctor System effectively enhances exam integrity with intuitive monitoring and resource-efficiency, suitable for massive implementation in Indonesian schools with limited technological infrastructure.
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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