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GitHub - orion4d/Orion4D_anaglyph: Orion4D Anaglyph** is a high-performance custom node designed to transform 2D images into stereoscopic (3D) renders via a depth map. It offers total control over parallax, convergence, and depth processing to ensure optimal visual comfort

Orion4D Anaglyph is a custom node that converts 2D images into stereoscopic 3D renders using depth maps, offering adjustable parameters for parallax, convergence, and depth processing. Designed for hi

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2 Jun 2026

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Beyond the Simplex: Balanced Prototype Geometry for Scorer-Agnostic Open-Set Recognition

Braille to Text Translation for Bengali Language: A Geometric Approach

Bridging the Last Mile of Time Series Forecasting with LLM Agents

ChurnNet: A Optimized Modern AI for Churn Prediction

Cluster Analysis with Resampling for Validation and Exploration (CARVE)

CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification

Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials

Cross-Domain Dead Tree Detection via Knowledge Distillation in Aerial Imagery

Deep Learning as the Disciplined Construction of Tame Objects

Early Prediction of Liver Cirrhosis Up to Two Years in Advance: A Machine Learning Study Benchmarking Against the FIB-4 and APRI Scores

Efficient LLM Moderation with Multi-Layer Latent Prototypes

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion

Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States

Erased but Not Forgotten: How Backdoors Compromise Concept Erasure

ERICA: Quantifying Replicability of Cluster Analysis

Error Bounds for a Diffusion Model-Based Drift Estimator

Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search

Experimenting with TPUs, GKE Managed DRANET, and Multi-cluster Inference Gateway

FAIR^2 Drones: An AI-Ready Standard for Cross-Domain Wildlife Drone Datasets

Fairness in two-player zero-sum games with bandit feedback

Feedback Matters: Augmenting Autonomous Dissection with Visual and Topological Feedback

FLAME: Physics-Guided Neural Operators for Onboard Satellite Methane Detection in Hyperspectral Imagery

Formally Solving Answer-Construction Problems in Lean

From Noise to Control: Parameterized Diffusion Policies

From question to model. The public equity investing plugin for Codex.

From Segments to Scenes: Temporal Understanding in Autonomous Driving via Vision-Language Model

GitHub - orion4d/Orion4D_anaglyph: Orion4D Anaglyph** is a high-performance custom node designed to transform 2D images into stereoscopic (3D) renders via a depth map. It offers total control over parallax, convergence, and depth processing to ensure optimal visual comfort

GitHub unveils a GitHub Copilot desktop app in technical preview, which introduces a new feature called canvases for bidirectional work between users and agents (Mario Rodriguez/The GitHub Blog)

GitHub's plan for Agents — Kyle Daigle, GitHub

GloResNet: A lightweight 3D CNN with global topological features for preterm brain injury prediction

Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation

HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark

IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset

Interpreto: An Explainability Library for Transformers

Latent Diffusion Pretraining for Crystal Property Prediction

Leyline: KV Cache Directives for Agentic Inference

Limits of Spatial Imagery Reasoning in Frontier LLM Models

LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization

LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services

LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents

Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction

Markerless Augmented Reality Registration for Surgical Guidance: A Multi-Anatomy Clinical Accuracy Study

Measuring and Mitigating Bias in Code Generated by Large Language Models

Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture

Molecular Embedding-Based Algorithm Selection in Protein-Ligand Docking