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applications

7,180 results

Applications

Data quality is the AI strategy

DGX agent

Data quality is a foundational component of effective AI strategy, as high-quality training and operational data directly impacts model performance, reliability, and business outcomes. The article lik

applicationsdatabricks

13 May 2026

Applications

Deep Minds and Shallow Probes

DGX agent

arXiv:2605.11448v1 Announce Type: new Abstract: Neural representations are not unique objects. Even when two systems realize the same downstream computation, their hidden coordinates may differ by rep

applications

Data quality is the AI strategy

Deep Minds and Shallow Probes

Delay-Empowered Causal Hierarchical Reinforcement Learning

Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing

DexTwist: Dexterous Hand Retargeting for Twist Motion via Mixed Reality-based Teleoperation

Does Head Pose Correction Improve Biometric Facial Recognition?

Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics

Dynamic Execution Commitment of Vision-Language-Action Models

ECHO: Continuous Hierarchical Memory for Vision-Language-Action Models

Efficient and provably convergent end-to-end training of deep neural networks with linear constraints

Efficient LLM-based Advertising via Model Compression and Parallel Verification

Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance

Enhancing Domain Generalization in 3D Human Pose Estimation through Controllable Generative Augmentation

Environment-Adaptive Preference Optimization for Wildfire Prediction

Estimating Subgraph Importance with Structural Prior Domain Knowledge

Fast Image Super-Resolution via Consistency Rectified Flow

Fine, you can do sorcery sometimes. But go all the way: circles of salt, grimoires, robes.

Fractal Graph Contrastive Learning

From a robot expert https://x.com/mattbeane/status/2054667222040330265?s=20

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels

Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation

Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation

How the Strait of Hormuz blockade is disrupting global chip supply chains, affecting supplies of helium, bromine, sulfur, and thinners essential to chipmaking (Bloomberg)

I don't understand the path forward for Mythos releases. Google & OpenAI will have equivalent models, and they are approaching AI cyber risk…

IGV-RRT: Prior-Real-Time Observation Fusion for Active Object Search in Changing Environments

In-context learning to predict critical transitions in dynamical systems

Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment

Instructions shape Production of Language, not Processing

Interpretability Can Be Actionable

Investor docs: Anthropic's revenue run rate is on track to hit $50B by the end of June; Ramp says more of its customers now use Anthropic than OpenAI, a first (Kate Clark/Wall Street Journal)

JupiterOne targets AI sprawl with new attack surface and vulnerability tools

Learning plug-in surrogate endpoints for randomized experiments

Localising Dropout Variance in Twin Networks

M^4-SAM: Multi-Modal Mixture-of-Experts with Memory-Augmented SAM for RGB-D Video Salient Object Detection

Make It Long, Keep It Fast: End-to-End 10k-Sequence Modeling at Billion Scale on Douyin Recommendation

MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification

Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models

Mechanistic Interpretability of ASR models using Sparse Autoencoders

Model-Level GNN Explanations via Rule-to-Graph Readout for Logit Reconstruction

Neural Statistical Functions

NexOP: Joint Optimization of NEX-Aware k-space Sampling and Image Reconstruction for Low-Field MRI

NOFE -- Neural Operator Function Embedding

OmniHumanoid: Streaming Cross-Embodiment Video Generation with Paired-Free Adaptation

OmniThoughtVis: A Scalable Distillation Pipeline for Deployable Multimodal Reasoning Models

Online Learning-to-Defer with Varying Experts

PayPal runs 74,000 weekly tasks in Perplexity Enterprise. Teams use it for model validation, channel performance, market trend research, com…

PrivacySIM: Evaluating LLM Simulation of User Privacy Behavior