Advancing responsible AI across Europe
OpenAI outlines safety, security, and transparency practices aligned with EU AI Act compliance and responsible governance.
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OpenAI outlines safety, security, and transparency practices aligned with EU AI Act compliance and responsible governance.
Analysis of decoder design trade-offs in lightweight neural networks for visual affordance segmentation on wearable robots.
SESA framework combines self-play curriculum learning with evolving procedural memory to distill failures into reusable skills for search agents.
Empirical study of quantization trade-offs (latency, throughput, quality) for EuroLLM and Hy-MT2 translation models on A10 GPU.
Cohere signs EU AI Content Transparency Code, demonstrating early compliance with EU AI Act requirements.
ORCA-bench evaluates LLM agents on production oncall root-cause analysis using real telemetry (Prometheus, Jaeger, OpenSearch) and code in realistic incident scenarios.
Graph neural network magnetic force fields learn effective energy functionals for itinerant spin dynamics from electronic structure, analogous to ML interatomic potentials.
Neuro-symbolic framework combining Swin Transformer vision with fuzzy rule-based reasoning for explainable sewer pipe severity classification.
Graph neural networks improve preconditioning for sparse linear system solvers, particularly on indefinite and nonsymmetric matrices.
QAdapt neural pre-decoding framework adapts to nonstationary hardware noise in quantum error correction via noise-adaptive decoders.
Fairness Pruning localizes demographic bias in GLU-MLP layers via differential neuron activations, enabling targeted bias mitigation in LLMs.
EMBL AI Librarian provides structured knowledge layer for AI agents querying 40M+ life-sciences records from Europe PMC.
Gaussian noise injection prevents oversmoothing in deep recurrent GNNs by preserving representation diversity.
Benchmarks for recovering latent risk-neutral densities from option prices; two-component lognormal mixture and DeepONet variants tested.
Overlap gap property extended to finite-temperature neural network optimization, characterizing algorithmic accessibility of noisy solutions.
Surrogate-guided dual-objective search method for neural ensemble search addresses computational intractability of joint architecture and composition optimization.
Study finds instruction-tuned LLMs exhibit stronger syntactic convergence to human dialogue patterns than humans themselves across diverse grammatical constructions.
Agentic workflow automates translation of quantum protocols to hardware experiments on Pasqal neutral-atom QPUs with researcher-in-the-loop validation.
Physics-informed spectral deep operator network (SpectONet) for Euler-Bernoulli beam vibration using nonuniform sensor placement.
Analysis of how image quality degradation (noise, darkness) affects neural network robustness in autonomous driving perception systems.
Physics-informed neural operator for thermal ranking of low-cost wall materials in hot-dry climates using finite difference methods.
Joint text-audio alignment method decodes Chinese speech from EEG into text, addressing high-dimensional output space and low SNR for non-invasive neural interfaces.
Hugging Face isn’t doing much to prevent the AI models it hosts from spitting out sexualized deepfakes. | Image: Cath Virginia / The Verge | Photos from Getty Images Hugging Face is being used to make nonconsensual deepfakes, and the popular open-source AI model repository is…
Convergence analysis of Deep Galerkin Method and Physics-Informed Neural Networks for solving nonlinear PDEs.
Evaluation of multilingual NMT models (NLLB, mBART) on English-Tamil translation across four datasets with BLEU/chrF metrics.
Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law…
Quantum Spectral Models encode matrix-level structure via spectral data-reuploading for quantum machine learning.
Study finds Grok assigns 2-5x higher credibility to ethnonationalist pseudo-science than Claude, GPT, Gemini across four LLM families.
Bag-of-waves learns interpretable EEG waveform dictionaries for neurological diagnosis without labels in low-data regimes.
Entropic Curvature metric extends transport-based geometry to graphs for addressing GNN oversmoothing via global information propagation analysis.