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Meta is tracking employee keystrokes on Google, LinkedIn, Wikipedia as part of AI training initiative
Machine Learning

Meta is tracking employee keystrokes on Google, LinkedIn, Wikipedia as part of AI training initiative

As part of an AI initiative that tracks employee keystrokes and mouse clicks, Meta is monitoring use of popular sites like Google, Linked...

AI Tools & Products · 4 min ·
Anthropic investigating possible breach of its Mythos AI model
Machine Learning

Anthropic investigating possible breach of its Mythos AI model

The AI company behind the chatbot Claude is looking into a report of unauthorized access to Mythos from one of its third-party vendor env...

AI Tools & Products · 3 min ·
Machine Learning

Anthropic’s Mythos Model Is Being Accessed by Unauthorized Users

Please make sure your browser supports JavaScript and cookies and that you are not blocking them from loading. ...

AI Tools & Products · 1 min ·

All Content

[2604.02206] LEO: Graph Attention Network based Hybrid Multi Sensor Extended Object Fusion and Tracking for Autonomous Driving Applications
Machine Learning

[2604.02206] LEO: Graph Attention Network based Hybrid Multi Sensor Extended Object Fusion and Tracking for Autonomous Driving Applications

Abstract page for arXiv paper 2604.02206: LEO: Graph Attention Network based Hybrid Multi Sensor Extended Object Fusion and Tracking for ...

arXiv - Machine Learning · 3 min ·
[2604.02268] SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
Llms

[2604.02268] SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization

Abstract page for arXiv paper 2604.02268: SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization

arXiv - Machine Learning · 4 min ·
[2604.02260] Model-Based Reinforcement Learning for Control under Time-Varying Dynamics
Machine Learning

[2604.02260] Model-Based Reinforcement Learning for Control under Time-Varying Dynamics

Abstract page for arXiv paper 2604.02260: Model-Based Reinforcement Learning for Control under Time-Varying Dynamics

arXiv - Machine Learning · 3 min ·
[2604.02250] Smoothing the Landscape: Causal Structure Learning via Diffusion Denoising Objectives
Machine Learning

[2604.02250] Smoothing the Landscape: Causal Structure Learning via Diffusion Denoising Objectives

Abstract page for arXiv paper 2604.02250: Smoothing the Landscape: Causal Structure Learning via Diffusion Denoising Objectives

arXiv - Machine Learning · 3 min ·
[2604.02215] Universal Hypernetworks for Arbitrary Models
Machine Learning

[2604.02215] Universal Hypernetworks for Arbitrary Models

Abstract page for arXiv paper 2604.02215: Universal Hypernetworks for Arbitrary Models

arXiv - Machine Learning · 3 min ·
[2604.02201] On the Role of Depth in the Expressivity of RNNs
Machine Learning

[2604.02201] On the Role of Depth in the Expressivity of RNNs

Abstract page for arXiv paper 2604.02201: On the Role of Depth in the Expressivity of RNNs

arXiv - Machine Learning · 3 min ·
[2604.02184] Neural network methods for two-dimensional finite-source reflector design
Machine Learning

[2604.02184] Neural network methods for two-dimensional finite-source reflector design

Abstract page for arXiv paper 2604.02184: Neural network methods for two-dimensional finite-source reflector design

arXiv - Machine Learning · 4 min ·
[2604.02139] Application of parametric Shallow Recurrent Decoder Network to magnetohydrodynamic flows in liquid metal blankets of fusion reactors
Machine Learning

[2604.02139] Application of parametric Shallow Recurrent Decoder Network to magnetohydrodynamic flows in liquid metal blankets of fusion reactors

Abstract page for arXiv paper 2604.02139: Application of parametric Shallow Recurrent Decoder Network to magnetohydrodynamic flows in liq...

arXiv - Machine Learning · 4 min ·
[2604.02119] AA-SVD : Anchored and Adaptive SVD for Large Language Model Compression
Llms

[2604.02119] AA-SVD : Anchored and Adaptive SVD for Large Language Model Compression

Abstract page for arXiv paper 2604.02119: AA-SVD : Anchored and Adaptive SVD for Large Language Model Compression

arXiv - Machine Learning · 3 min ·
[2604.02051] Ouroboros: Dynamic Weight Generation for Recursive Transformers via Input-Conditioned LoRA Modulation
Machine Learning

[2604.02051] Ouroboros: Dynamic Weight Generation for Recursive Transformers via Input-Conditioned LoRA Modulation

Abstract page for arXiv paper 2604.02051: Ouroboros: Dynamic Weight Generation for Recursive Transformers via Input-Conditioned LoRA Modu...

arXiv - Machine Learning · 4 min ·
[2604.02019] Feature Weighting Improves Pool-Based Sequential Active Learning for Regression
Machine Learning

[2604.02019] Feature Weighting Improves Pool-Based Sequential Active Learning for Regression

Abstract page for arXiv paper 2604.02019: Feature Weighting Improves Pool-Based Sequential Active Learning for Regression

arXiv - Machine Learning · 3 min ·
[2604.02007] Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning
Machine Learning

[2604.02007] Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning

Abstract page for arXiv paper 2604.02007: Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning

arXiv - Machine Learning · 4 min ·
[2604.01985] World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
Machine Learning

[2604.01985] World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry

Abstract page for arXiv paper 2604.01985: World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry

arXiv - Machine Learning · 4 min ·
[2604.01961] Generalization Bounds and Statistical Guarantees for Multi-Task and Multiple Operator Learning with MNO Networks
Machine Learning

[2604.01961] Generalization Bounds and Statistical Guarantees for Multi-Task and Multiple Operator Learning with MNO Networks

Abstract page for arXiv paper 2604.01961: Generalization Bounds and Statistical Guarantees for Multi-Task and Multiple Operator Learning ...

arXiv - Machine Learning · 4 min ·
[2604.01951] Learn by Surprise, Commit by Proof
Machine Learning

[2604.01951] Learn by Surprise, Commit by Proof

Abstract page for arXiv paper 2604.01951: Learn by Surprise, Commit by Proof

arXiv - Machine Learning · 4 min ·
[2604.01949] annbatch unlocks terabyte-scale training of biological data in anndata
Machine Learning

[2604.01949] annbatch unlocks terabyte-scale training of biological data in anndata

Abstract page for arXiv paper 2604.01949: annbatch unlocks terabyte-scale training of biological data in anndata

arXiv - Machine Learning · 3 min ·
[2604.01898] Enhancing the Reliability of Medical AI through Expert-guided Uncertainty Modeling
Machine Learning

[2604.01898] Enhancing the Reliability of Medical AI through Expert-guided Uncertainty Modeling

Abstract page for arXiv paper 2604.01898: Enhancing the Reliability of Medical AI through Expert-guided Uncertainty Modeling

arXiv - Machine Learning · 4 min ·
[2604.01889] LI-DSN: A Layer-wise Interactive Dual-Stream Network for EEG Decoding
Machine Learning

[2604.01889] LI-DSN: A Layer-wise Interactive Dual-Stream Network for EEG Decoding

Abstract page for arXiv paper 2604.01889: LI-DSN: A Layer-wise Interactive Dual-Stream Network for EEG Decoding

arXiv - Machine Learning · 4 min ·
[2604.01880] DDCL-INCRT: A Self-Organising Transformer with Hierarchical Prototype Structure (Theoretical Foundations)
Machine Learning

[2604.01880] DDCL-INCRT: A Self-Organising Transformer with Hierarchical Prototype Structure (Theoretical Foundations)

Abstract page for arXiv paper 2604.01880: DDCL-INCRT: A Self-Organising Transformer with Hierarchical Prototype Structure (Theoretical Fo...

arXiv - Machine Learning · 4 min ·
[2604.01870] Towards Intrinsically Calibrated Uncertainty Quantification in Industrial Data-Driven Models via Diffusion Sampler
Machine Learning

[2604.01870] Towards Intrinsically Calibrated Uncertainty Quantification in Industrial Data-Driven Models via Diffusion Sampler

Abstract page for arXiv paper 2604.01870: Towards Intrinsically Calibrated Uncertainty Quantification in Industrial Data-Driven Models vi...

arXiv - Machine Learning · 3 min ·
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