AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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edge computing
2,754 papers
Ultimate truth is always simple : Digital Theory of Everything Equation 【 \(A\mathbf{x} = \mathbf{b}\)】: Plato's Allegory of the Cave (It from Idea : Digital Platonism) : Theory ℤ ( Self-Proving Self-Consistent Compilation )
Ultimate truth is always simple : \(A\mathbf{x} = \mathbf{b}\) \(A\mathbf{x} = \mathbf{b}\) : "It is where nothing exists, yet everything resides." "The universe is a hologram. This formula is the projector." • \(x\) = The fundamental quantum data at the edge of the universe. • \(A\) = The holographic rule that project...
A directed probability current in the vorticity–strain alignment state space of homogeneous isotropic turbulence
A stationary distribution can rest on balanced exchange between states, or it can conceal a steady circulation through them. Beneath the familiar occupancies of the vorticity–strain alignment in homogeneous isotropic turbulence, we find the second: a directed probability circulation. Counting transitions along Lagrangi...
MIXED-SIGNAL IN-SENSOR COMPUTING AND COMMUNICATION TECHNIQUES FOR ULTRA-LOW-POWER VIDEO SENSOR NODES
Video Sensor Nodes (VSNs) for Internet-of-Things (IoT) and Internet-of-Bodies (IoB) applications operate under severe energy and form-factor constraints imposed by continuous sensing, high data rates, and limited energy availability. These challenges become particularly critical in wearable and implantable systems, whe...
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Artefact for "What a LiDAR-Inertial Filter's Covariance Is Worth to a Verified Planner: Measured versus Reported Localisation Uncertainty in an Exact Navigation Guarantee"
Simulator configuration, Point-LIO patch and commit, the 33 recorded runs' error files and logs, the PRISM models and every table's CSV for the paper "What a LiDAR-Inertial Filter's Covariance Is Worth to a Verified Planner: Measured versus Reported Localisation Uncertainty in an Exact Navigation Guarantee" (S. Phetman...
Design and recording methods for holographic waveguide displays
Waveguide displays are a prominent optical architecture for near-eye displays because exit-pupil expansion enables a large field of view and a large eyebox within a compact form factor. However, embedding conventional planar waveguides into prescription lenses with convex base curves increases lens thickness and weight...
EL-RAKHAWI NEURO-PHOTONIC SILICON ARCHITECTURE: EMULATING BIOLOGICAL DENDRITIC COMPUTATION VIA NON-EQUILIBRIUM THERMODYNAMICS AND CAUSAL SPIKING NEURAL NETWORKS
The El-Rakhawi Neuro-Photonic Silicon Architecture (NPSA) revolutionizes neuromorphic computing by emulating biological dendritic computation to overcome the Von Neumann bottleneck and extreme energy consumption of modern AI. It integrates four core modules: silicon-photonic memristive synapses for low-power Spike-Timi...
EL-RAKHAWI ELECTRO-CHEMICAL CAUSAL INTELLIGENCE ARCHITECTURE: MOLECULAR RESERVOIR COMPUTING VIA REDOX-DRIVEN SYNAPTIC LATTICES
The El-Rakhawi Electro-Chemical Causal Intelligence Architecture (ECCIA) bridges AI, physics, chemistry, and neuroscience by shifting to molecular physical computing. It utilizes redox-active polymer lattices to natively execute causal machine learning. Computation occurs via physical ion transport and localized redox...
Joint extraction of space target micro-motion parameters at low SNR based on consistency variational autoencoder and cascaded transformer
Micro-Doppler technology has significant applications in the recognition of space non-cooperative targets. However, in practical radar detection, background noise caused by low signal-to-noise ratios and the nonlinear coupling among various micro-motion parameters limit the feature extraction accuracy and engineering a...
Reconfigurable Floating‐Gate van der Waals Phototransistor With Asymmetric Contact Geometries for Bio‐Inspired Multi‐Stage Visual Tasks
ABSTRACT Bio‐inspired optoelectronic devices with in‐sensor neuromorphic computing capability are promising for artificial visual applications. However, the biological visual system possesses simultaneous sensing and multi‐stage processing capability through the retina and visual cortex. Different device types and mate...
Multisensor and Multitemporal Dataset of Megathyrsus maxi-mus (Mombasa) across Scales: Tussock-Level Proximal VIS–NIR Spectroradiometry, Thermal, and RGB Imaging with Field-Level UAV Multispectral and Satellite Data under Trop-ical Silvopastoral Conditions across Wet and Dry Seasons
Multisensor, Multitemporal Forage Dataset: Megathyrsus maximus cv. Mombasa under Tropical Silvopastoral Conditions (Wet and Dry Seasons, Colombian Caribbean) Overview This dataset comprises 400 structured observations of individual Megathyrsus maximus cv. Mombasa tussocks collected at the AGROSAVIA Turipaná Research Ce...
Host-generated channel plans for wideband wireless audio carriers: spread groups across the band and compact groups in four-TV-channel windows, intermodulation products as width sums, a band floor held at the -40 dB skirt plus a margin, and firmware tables with precomputed two-radio pair advice that the operator picks from
A host program, never the transmitter or the receiver, computes group tables per radio mode ("profile") and per regulatory region, and writes them as text tables that a build step compiles into firmware constants. The firmware contains no planning code and does no intermodulation arithmetic. Carriers have a centre and...
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A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Proof-based general-purpose computing with Magnetar
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.
Using AI to mitigate the growing environmental threat of data centers
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Multimodal open d1 decision models for the edge
A Blog post by Liquid AI on Hugging Face
Supercomputing researchers document evolution of AI hardware
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
What AI gets wrong and what failure teaches us
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.