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VLMは人間のような創造性を持てるか？ケネス・スタンレー教授らの『目標という幻想（Why Greatness Cannot Be Planned）』は、明確な目標を設定することが、かえって真に偉大な発見を遠ざけてしまうという逆説を論じた書籍です。その議論の中核にあったのが「Pi…

VLMは人間のような創造性を持てるか？ケネス・スタンレー教授らの『目標という幻想（Why Greatness Cannot Be Planned）』は、明確な目標を設定することが、かえって真に偉大な発見を遠ざけてしまうという逆説を論じた書籍です。その議論の中核にあったのが「PicBreeder」の実験でした。 PicBreeder では、ユーザーが「面白い」と感じた画像を選び、それを少しずつ進化

researchdavid-ha--x

11 Jul 2026

research

Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languages

Uncertainty-Aware Multi-Source Retinal Fluid Segmentation in OCT

Understanding Structured Health Data through Interaction-Aware Mixture-of-Experts

UniMedSeg: Unified In-Context Learning for Multi-Paradigm 2D/3D Medical Image Segmentation

Virtual Chromoendscopy with Tunable Visibility Enhancement

Visual Access Boundaries in Vision-Language Model Reasoning

Visual Species Recognition with Large Multimodal Models as Post-Hoc Correctors

We scaled a robot model natively to 8,000 timesteps of context, 5 minutes worth of muscle memory, with constant inference cost. Robot polici…

Weakly Supervised Spatio-Temporal Candidate Discovery of Dairy Farm Sites from Seasonal Satellite Imagery

1) If you haven't read AI as Normal Technology, these annotated slides are probably the easiest way to get a high-level overview. https://ww…

🤖 Un robot français en seulement 9 mois ! Rémi Cadene, ancien de Tesla AI et Hugging Face, explique comment son équipe veut faire des robot…

Language models and coding agents are great, but there is more to life, and more to AI, than just LLM agents.

What Anthropic’s latest AI discovery does—and doesn’t—show

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths

A Quantum Reservoir Architecture for Chaotic Forecasting and a Test of Whether Its High Dimension Helps

A Self-Supervised Approach for Minimal-Annotation Hydroacoustic Data Exploration

Adversarial Decoys: Misdirecting Attention-Based Defenses in ViT

Adversarial Social Epistemology for Assemblies of Humans and Large Language Models

AI-guided stimuli discovery and generation to optimize facial emotion perception studies in autism

AI-integrated models for assessing agricultural resilience

Also, is Ultra better than Pro or is it the same thing but different nomenclature?

An interpretable Good--Turing restart criterion for k-means++

Anatomically Guided Latent Diffusion for Brain MRI Progression Modeling

APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts

Are Current Continual Learning Methods Truly Agnostic? Introducing OPRE, a Step Toward Agnostic Continual Learning

Attention-Based Segmentation of WMHs and Differentiation of Vascular vs. Demyelinating Lesions

AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate

BACH: A Bayesian Admixture of Contrastive Heads for Multi-Interest Two-Tower Retrieval

Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions

Bridging Modal Isolation in Interleaved Thinking: Supervising Modality Transitions via Stepwise Reinforcement

Can We Trust LLM's Logic? Quantifying Uncertainty, Coherence, and Robustness via a Graph-Based Framework

CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation

Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability

Classifier Chain-based Pathological Test Recommendation

COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation

Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Model Sharing

CommuniWave:A Machine Learning Model for Quantifying the Degree of Temporary Informal Behavior in Urban Communities

Concept-as-Tree: A Controllable Synthetic Data Framework Makes Stronger Personalized VLMs

Conformal Predictive Programming for Chance Constrained Optimization

ConRad: Efficient Conformal Prediction for Radiomics

Contrastive Order Learning: A General Framework for Ordinal Regression

Cross-Modal Generative Framework for Signal Translation from Fetal-Maternal Electrocardiograms to Fetal Doppler Waveforms

CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems

Deep Learning Method for Stationary Distribution of Reflected Brownian Motion