Blogue
Alternately-optimized SNN method for acoustic scattering problem in unbounded domain
Dans ce document, we propose a novel machine learning-based method to solve the acoustic scattering problem in unbounded domain. We first employ the Dirichlet-to-Neumann (DtN) operator to truncate the physically unbounded domain into a computable bounded domain. This transformation reduces the original...
6G EdgeAI: Performance Evaluation and Analysis
IA générative (GénAI) services powered by large language models (LLM) increasingly deliver real-time interactions, yet existing 5G multi-access edge computing (MEC) architectures often treat communication and computing as separate domains, limiting their ability to meet stringent latency requirements. Pour relever ce défi,...
Partitioning of multiple brain metastases improves dose gradients in single-isocenter radiosurgery
Arrière-plan: A growing number of cancer patients with brain metastases can benefit from stereotactic radiosurgery (SRS) thanks to recent advances in systemic therapies. With an increasing patient load, single-isocenter treatments on widely available C-arm linear accelerators are an attractive option. Cependant, le...
On the zoology of 2d $\mathcal{N}=(0,2)$ dualities gauge theories with antisymmetric matter
In this paper we investigate and propose new dualities involving 2d gauge theories with $\mathcal{N}=(0,2)$ supersymmetry. In the first part of the paper we focus on $\mathrm{SU}(n)$ gauge theories with two antisymmetric chirals. The gauge theories are non-anomalous if we consider, dans...
ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration
Time-of-Flight (ToF) sensors provide efficient active depth sensing at relatively low power budgets; among such designs, only very sparse measurements from low-resolution sensors are considered to meet the increasingly limited power constraints of mobile and AR/VR devices. Cependant, such extreme sparsity levels...
Generation of Phonons with Angular Momentum During Ultrafast Demagnetization
A major question in the field of femtosecond laser-induced demagnetization is whereto the angular momentum lost by the electrons is transferred. Recent ultrafast electron diffraction measurements [Tauchert \textit{et al.}, Nature {\bf 602}, 73 (2022)] suggest that this angular momentum is transferred to...
A Collaborative Intrusion Detection System Using Snort IDS Nodes
Intrusion Detection Systems (IDS) are integral to safeguarding networks by detecting and responding to threats from malicious traffic or compromised devices. Cependant, standalone IDS deployments often fall short when addressing the increasing complexity and scale of modern cyberattacks. This paper proposes a...
A new approach for the unitary Dyson Brownian motion through the theory of viscosity solutions
Dans ce document, we study the unitary Dyson Brownian motion through a partial differential equation approach recently introduced for the real Dyson case. The main difference with the real Dyson case is that the spectrum is now on the circle and not...
DTVM: Revolutionizing Smart Contract Execution with Determinism and Compatibility
We introduce the DeTerministic Virtual Machine (DTVM) Stack, a next-generation smart contract execution framework designed to address critical performance, determinism, and ecosystem compatibility challenges in blockchain networks. Building upon WebAssembly (Wasm) while maintaining full Ethereum Virtual Machine (EVM) ABI compatibility, DTVM introduces...
CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
Class-agnostic counting (CAC) aims to estimate the number of objects in images without being restricted to predefined categories. Cependant, while current exemplar-based CAC methods offer flexibility at inference time, they still rely heavily on labeled data for training, which limits scalability and...