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2,417 papers
We compute the automorphism group of a graph exactly, with a verified generatingset. Inside each class of an invariant colouring, individualisation and refinement yielda permutation group TC that contains the restriction of every automorphism; a normalseries of these groups turns the edges between classes into affine s...
The evolution of embedded systems is more rapid and is bringing about a transformation across all systems of healthcare, automotive, industrial automation, and consumer electronics where intelligent, energy efficient and application specific solutions are becoming more important. The paper seeks to describe the complet...
Simulation of a security-aware adaptive computation offloading pipeline for Mobile Edge Computing: an analytical bandwidth threshold, Q-Learning and a Deep Q-Network over a continuous state, Lyapunov drift-plus-penalty queue control, and Object Dependency Graph vulnerability scoring. Preprint draft, not peer reviewed;...
Mobile Edge Computing (MEC) enables resource-constrained mobile devices to offload computation-intensive tasks to nearby edge servers. Existing computation offloading approaches primarily optimise latency, energy consumption, or resource allocation, but often do not consider security constraints and multi-user queue st...
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Mobile Edge Computing (MEC) enables resource-constrained mobile devices to offload computation-intensive tasks to nearby edge servers. Existing computation offloading approaches primarily optimise latency, energy consumption, or resource allocation, but often do not consider security constraints and multi-user queue st...
Version 11, prepared for submission to Physica A (version 11 merges a professional language edit; the nearest-neighbour and BKT conclusions are stated for the parameters and resolution tested). A two-dimensional rotor lattice whose ordering couplings are removed by an order-dependent flux and restored by repair. The me...
FARM (Fundamental Agentic Reward Model for Multi-task Wireless Network Optimization), a reward-space transfer framework that shifts cross-task knowledge reuse from policy space to trajectory-level decision evaluation, is proposed.
The radiometer effect is a self-thermophoretic phenomenon in which a thin body with a temperature difference between its two sides experiences a force in a rarefied gas. We numerically investigate this effect for an infinitely thin circular disk freely translating at its terminal velocity in an otherwise quiescent gas....
A flag complex $L$ determines a locally CAT(0) cube complex $P_L$ with the links of all vertices isomorphic to $L$. The fundamental group of $P_L$ is the commutator subgroup of the right-angled Coxeter group $W_L$. We observe that an edge contraction $L \rightarrow L/e$ determines a $2$-fold branched cover $P_L \righta...
Neuromorphic visual computing aims to fuse sensing, memory, and processing into a single hardware stack, enabling reliable analog weight updates. Defect engineering in two-dimensional (2D) semiconductors is an effective strategy for achieving such synaptic functionality. However, in most 2D materials, the defects that...
Real-time data streams in Web of Things (WoT) and edge computing environments often evolve through latent regime changes. For online representation learning under strict computational constraints, the central problem is resolving the stability-plasticity dilemma: keeping useful historical knowledge while rapidly reacti...
This study proposes LTC-CGMN, a lightweight driver state evaluation framework that integrates cross granularity state mapping and temporal convolution, and shows that LTC-CCMN provides a good balance between recognition accuracy, continuous risk estimation, and edge deployment efficiency for intelligent cockpit DMS app...
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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