AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,981 papers
AI should not be viewed simply as a replacement for human inspection but as an intelligent layer that augments engineering knowledge and enables manufacturing systems to anticipate, diagnose and correct quality problems, a critical review of recent literature concludes.
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.
It is found that deep learning algorithms perform better in terms of accuracy and reliability compared to other approaches, while traditional detectors are fast and suitable for simple real-time purposes.
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...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
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.
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