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Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]

A study examining 71 AI scenarios found that AI experts (N=119) and the public (N=1100) hold differing views on AI risks, benefits, and value, with experts discounting risk influences more heavily tha

researchr-machinelearning

5 May 2026

research

Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations

Benchmarking LightGBM and BiLSTM for Sentiment Analysis on Indonesian E-Commerce Reviews

Beyond ECE: Calibrated Size Ratio, Risk Assessment, and Confidence-Weighted Metrics

Beyond Structure: Revolutionising Materials Discovery via AI-Driven Synthesis Protocol-Property Relationships

Black-box optimization of noisy functions with unknown smoothness

BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion

Boundary Mass and the Soft-to-Hard Limit in Mixture-of-Experts

Breaking the Resolution Barrier: Arbitrary-resolution Deep Image Steganography Framework

Brutal montage from CNN of Trump lying about the ballroom being paid for by private donors

Bucketing the Good Apples: A Method for Diagnosing and Improving Causal Abstraction

Can professional translators identify machine-generated text?

CARD: Coarse-to-fine Autoregressive Modeling with Radix-based Decomposition for Transferable Free Energy Estimation

Causal Representation Learning with Optimal Compression under Complex Treatments

Cell-induced densification and tether formation in fibrous extracellular matrices with biomimetic physics-informed neural networks

Certified vs. Empirical Adversarial Robust-ness via Hybrid Convolutions with Attention Stochasticity

CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation

Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]

CNNs for Vis-NIR Chemometrics: From Contradiction to Conditional Design

Code-switching in text and speech challenges information-theoretic speaker design

CoFrGeNet: Continued Fraction Architectures for Language Generation

Comparative Evaluation of Convolutional and Transformer-Based Detectors for Automated Weed Detection in Precision Agriculture

Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models

Continual Few-shot Adaptation for Synthetic Fingerprint Detection

Continuous quantification of viral plaque dynamics using ultra-large-area label-free imaging enables rapid antiviral susceptibility testing

Continuous Temporal Representations of Event-Based Signals via Interference-Based Wave Modeling

Controlled Paraphrase Geometry in Sentence Embedding Space: Local Manifold Modeling and Latent Probing

Correlates of Image Memorability in Vision Encoders: Activations, Attention Entropy, Patch Uniformity and Autoencoder Losses

Counting as a minimal probe of language model reliability

CRC-Screen: Certified DNA-Synthesis Hazard Screening Under Taxonomic Shift

CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing

Cross-Domain Adversarial Augmentation: Stabilizing GANs for Medical and Handwriting Data Scarcity

Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping

CSGuard: Toward Forgery-Resistant Watermarking in Diffusion Models via Compressed Sensing Constraint

Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals

Deep Variational Inference Symbolic Regression

Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising

Demographic-Aware Transfer Learning for Sleep Stage Classification in Clinical Polysomnography

Denoising data using convex relaxations

Dependency Parsing Across the Resource Spectrum: Evaluating Architectures on High and Low-Resource Languages

Descending into the Modular Bootstrap

Detecting Adversarial Data via Provable Adversarial Noise Amplification

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection

DIAGRAMS: A Review Framework for Reasoning-Level Attribution in Diagram QA

Dimensionality-Aware Anomaly Detection in Learned Representations of Self-Supervised Speech Models

Dino-NestedUNet: Unlocking Foundation Vision Encoders for Pathology Tumor Bulk Segmentation via Dense Decoding

DirectEdit: Step-Level Accurate Inversion for Flow-Based Image Editing

Disentangled Anatomy-Disease Diffusion (DADD) for Controllable Ulcerative Colitis Progression Synthesis