Logic, Optimization, and Artificial Intelligence
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Noticias de IA
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Information-Directed Sampling for Causal Bandits
S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, a…
MGDT: MLLM-Guided Diffusion Transformer with Relation-Adaptive Mixture-of-Experts for Mul…
Neuro-Symbolic AI for LEED compliance: Document-Centric Benchmarking, Deterministic Numer…
NeurOWL: An LLM-Based Neural-symbolic Framework for Incomplete OWL Ontology Reasoning
Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift
DecoyFace: Beyond Obfuscation via Controllable and Imperceptible Identity Misdirection fo…
Panache: One-Pass Motif Discovery at Every Window Length
Bio-SFT: Asymmetric Cortical Guidance and Retinal Adaptation for Robust HDR Reconstruction
Grounded verification of chemical and materials reasoning: detection is the bottleneck
AI advice made people 3x less accurate but 2x confident, researchers found
Lookahead Branching for Neural Network Verification
SAGA: Synthetic Agentic Graph Architecture for Temporal Benchmark Generation
OrderMoE: An expert similarity driven distributed edge MoE inference
Denoising Models Develop Human-Like Perceptual Illusion Representations Across Architectu…
What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language…
Controlling Reasoning Effort in LLMs
CLDRoute: Conditional Latent Diffusion for Routability Map Generation in Physical Design
Candidate Attended Dialogue State Tracking Using BERT
Mozilla: The state of open source AI
Beyond Frontiers: Scene-Anomaly Guided Autonomous Exploration
BCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextua…
Ptolemy's Equant Equates to a Universal Dynamical Clock via Machine Learning
FLINT: Fingerprinting Federated Learning Architectures from 5G PHY-Layer Side Channels
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Examining Google DeepMind’s AI bioresilience push
Detecting LLM-Generated Texts with “Classical” Machine Learning
Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding
🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarell…