Bureau Veritas Launches an Independent AI Assessment Offering for European Enterprises, Developed in Partnership with Amazon Web Services (AWS) - 01net
<a href="https://news.google.com/rss/articles/CBMi9AFBVV95cUxPazJTNEF2LTR1dy1wZlBiMTE3Q0xKMWVucF9XYVFKN3BxczNpaXdBYlZCNGdyOGhvaVBxSTdmNHBSTmllYkNCMWtFdGVScHpxS0ZFcG5BTFotSUNOQzF2eTdiU2lodGl5X0t1a1BKaTdpVTN1RG1UYU03ZkhwMUdBZmRobFBvaFBaN2lQQ0J3UGcwRlVVaUVaWnRHZ3dIMURYQktzMkVsZm8zdEI2V1FzZUJmOEsybE8wVFEwTXRxbHhlQXNaMHBVUU5WbXc5TTRCSkdNSnFKRlUwQ1I3NDk4blZUNVhiQWZiQndYY3BGbGh6S1hW?oc=5" target="_blank">Bureau Veritas Launches an Independent AI Assessment Offering for European Enterprises, Developed in Partnership with Amazon Web Services (AWS)</a> <font color="#6f6f6f">01net</font>
Could not retrieve the full article text.
Read on GNews AI EU →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
launchserviceeurope
Car Dependency in Urban Accessibility
arXiv:2604.01019v1 Announce Type: cross Abstract: To achieve net-zero emissions, cities must transition away from reliance on private vehicles. However, car-centric urban growth has transformed the automobile from a convenience tool into a necessity for accessing essential services, creating significant "car dependency". This study introduces a novel Car Dependency Index (CDI) that quantifies the accessibility gap between private and public transport across 18 cities in Europe and North America. Utilising high-resolution geospatial data and numerical simulations, we reveal pronounced spatial inequalities, showing that car dependency remains a primary driver of car ownership even when accounting for income. A ``what-if" simulation of the planned metro expansion in Rome predicts a reduction
Learning Compact Terrain-Context Representations for Feasibility-Aware Offline Reinforcement Learning in UAV Relaying Networks
arXiv:2604.00224v1 Announce Type: new Abstract: Offline reinforcement learning (RL) is an attractive tool for unmanned aerial vehicle (UAV) systems, where online exploration is costly and raises safety concerns. In terrain-aware UAV relaying, agents may observe high-dimensional inputs such as terrain and land-cover maps, which describe the propagation environment, but complicate offline learning from fixed datasets. This paper investigates the impact of compact state representations on offline RL for UAV relaying. End-to-end service is jointly constrained by UAV--user access links and a base-station--to--UAV backhaul link, yielding feasibility limits driven by user mobility and independent of UAV control. To distinguish feasibility limits from control-induced sub-optimality, a candidate-se
Evaluating the Feasibility of Augmented Reality to Support Communication Access for Deaf Students in Experiential Higher Education Contexts
arXiv:2604.00856v1 Announce Type: new Abstract: Deaf and hard of hearing (DHH) students often experience communication barriers in higher education, which are particularly acute in experiential learning environments such as laboratories. Traditional accessibility services, such as interpreting and captioning, often require DHH students to divide their attention between critical tasks, potential safety hazards, instructional materials, and access providers, creating trade-offs between safety and equitable communication. These demands can disrupt task engagement and increase cognitive load in settings that require sustained visual focus, highlighting the limitations of current approaches. To address these challenges, this study investigates Augmented Reality Real-Time Access for Education (A
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases
Quantum-Safe Code Auditing: LLM-Assisted Static Analysis and Quantum-Aware Risk Scoring for Post-Quantum Cryptography Migration
arXiv:2604.00560v1 Announce Type: cross Abstract: The impending arrival of cryptographically relevant quantum computers (CRQCs) threatens the security foundations of modern software: Shor's algorithm breaks RSA, ECDSA, ECDH, and Diffie-Hellman, while Grover's algorithm reduces the effective security of symmetric and hash-based schemes. Despite NIST standardising post-quantum cryptography (PQC) in 2024 (FIPS 203 ML-KEM, FIPS 204 ML-DSA, FIPS 205 SLH-DSA), most codebases lack automated tooling to inventory classical cryptographic usage and prioritise migration based on quantum risk. We present Quantum-Safe Code Auditor, a quantum-aware static analysis framework that combines (i) regex-based detection of 15 classes of quantum-vulnerable primitives, (ii) LLM-assisted contextual enrichment to c
Active learning emulators for nuclear two-body scattering in momentum space
arXiv:2512.17842v2 Announce Type: replace-cross Abstract: We extend the active learning emulators for two-body scattering in coordinate space with error estimation, recently developed by Maldonado et al. [Phys. Rev. C 112, 024002], to coupled-channel scattering in momentum space. Our full-order model (FOM) solver is based on the Lippmann-Schwinger integral equation for the scattering $t$-matrix as opposed to the radial Schr\"odinger equation. We use (Petrov-)Galerkin projections and high-fidelity calculations at a few snapshots across the parameter space of the interaction to construct efficient reduced-order models (ROMs), trained by a greedy algorithm for locally optimal snapshot selection. Both the FOM solver and the corresponding ROMs are implemented efficiently in Python using Google'
Ultrasonic Brain Computer Interfaces for Enhancing Human-Machine Cognition
arXiv:2604.00349v1 Announce Type: new Abstract: Low-intensity transcranial focused ultrasound (tFUS) is rapidly emerging as a transformative non-invasive brain stimulation (NIBS) modality characterized by high spatial resolution and ability to target deep brain circuits. Unlike electromagnetic techniques such as transcranial magnetic stimulation and transcranial direct current stimulation, which are constrained by centimeter-scale resolution and a depth-focality tradeoff, tFUS leverages mechanical pressure waves to modulate both superficial cortical and deep subcortical structures with millimeter precision. This article discusses recent scientific observations and engineering breakthroughs in the advancement of tFUS for next-generation ultrasonic brain-computer interfaces (uBCIs) and human
3D User Localization for Planar Arrays in LoS Near- and Far-Fields via Summed Phase Differences
arXiv:2604.00727v1 Announce Type: new Abstract: This paper presents a phase-difference-based scheme for three-dimensional (3D) line-of-sight (LoS) user localization using a uniform planar array (UPA), applicable to both near-field and far-field regimes under the exact spherical-wave model. Unlike the previously studied two-dimensional (2D) uniform linear array (ULA) case, the 3D UPA case requires jointly exploiting the two array axes in order to recover the user's range, azimuth, and zenith angle. Adjacent-antenna phase-differences are first estimated from uplink pilots and then summed along the array axes to obtain unwrapped phase-differences between widely separated antenna elements. These summed phase-differences enable the construction of multiple three-equation systems whose solutions
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!