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...
S.Poornimadarshini, T M Sathish Kumar· SCCTS Journal of Embedded Sy...· 0 citations
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 Preprint draft, not peer reviewed;...
Brindeshwar Sharma· Zenodo (CERN European Organi...· 0 citations
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...
Brindeshwar Sharma· Zenodo (CERN European Organi...· 0 citations
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...
Brindeshwar Sharma· Zenodo (CERN European Organi...· 0 citations
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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...
Leon Sandler· Zenodo (CERN European Organi...· 2 citations
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.
Fei-Ran You, Chang-Xu Ni, Hao-Zhe Ma et al.· 0 citations
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...
Si-Rui He, Kai Liang Lew, C. Ong et al.· 0 citations
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...
T. Han· Frontiers of Mechanical Engi...· 0 citations
Precise anatomical navigation is fundamental to safe endoscopic pituitary surgery, a high-stakes procedure characterised by a challenging learning curve. While traditional navigation systems often rely on workflow-disrupting probes or static preoperative imaging, advancements in computer vision AI (CVAI) now enable dyn...
D. Khan, Z. Mao, Anjana Wijekoon et al.· Pituitary· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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.
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