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VCs are betting billions on AI's next wave, so why is OpenAI killing Sora? | TechCrunch
Generative Ai

VCs are betting billions on AI's next wave, so why is OpenAI killing Sora? | TechCrunch

Equity breaks down why OpenAI pulled the plug on Sora, what Meta’s back-to-back legal losses mean, and more of the week's headlines.

TechCrunch - AI · 4 min ·
OpenAI shuts down Sora while Meta gets shut out in court | TechCrunch
Generative Ai

OpenAI shuts down Sora while Meta gets shut out in court | TechCrunch

Watch as Equity asks why OpenAI shut down Sora just months after launch, what Meta’s back-to-back legal losses mean, and more of the week...

TechCrunch - AI · 3 min ·
Accelerating science with AI and simulations
Machine Learning

Accelerating science with AI and simulations

MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...

AI News - General · 10 min ·

All Content

[2603.21208] JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization
Machine Learning

[2603.21208] JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization

Abstract page for arXiv paper 2603.21208: JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization

arXiv - Machine Learning · 4 min ·
[2603.20700] mmWave-Diffusion:A Novel Framework for Respiration Sensing Using Observation-Anchored Conditional Diffusion Model
Machine Learning

[2603.20700] mmWave-Diffusion:A Novel Framework for Respiration Sensing Using Observation-Anchored Conditional Diffusion Model

Abstract page for arXiv paper 2603.20700: mmWave-Diffusion:A Novel Framework for Respiration Sensing Using Observation-Anchored Condition...

arXiv - Machine Learning · 3 min ·
[2603.21621] Proximal Policy Optimization in Path Space: A Schrödinger Bridge Perspective
Generative Ai

[2603.21621] Proximal Policy Optimization in Path Space: A Schrödinger Bridge Perspective

Abstract page for arXiv paper 2603.21621: Proximal Policy Optimization in Path Space: A Schrödinger Bridge Perspective

arXiv - Machine Learning · 3 min ·
[2603.21315] FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models
Machine Learning

[2603.21315] FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models

Abstract page for arXiv paper 2603.21315: FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models

arXiv - Machine Learning · 4 min ·
[2603.21210] Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows
Machine Learning

[2603.21210] Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows

Abstract page for arXiv paper 2603.21210: Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows

arXiv - Machine Learning · 4 min ·
[2603.20987] Interpreting the Synchronization Gap: The Hidden Mechanism Inside Diffusion Transformers
Machine Learning

[2603.20987] Interpreting the Synchronization Gap: The Hidden Mechanism Inside Diffusion Transformers

Abstract page for arXiv paper 2603.20987: Interpreting the Synchronization Gap: The Hidden Mechanism Inside Diffusion Transformers

arXiv - Machine Learning · 4 min ·
[2603.20645] Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity
Machine Learning

[2603.20645] Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity

Abstract page for arXiv paper 2603.20645: Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity

arXiv - Machine Learning · 3 min ·
[2603.20589] Generating from Discrete Distributions Using Diffusions: Insights from Random Constraint Satisfaction Problems
Generative Ai

[2603.20589] Generating from Discrete Distributions Using Diffusions: Insights from Random Constraint Satisfaction Problems

Abstract page for arXiv paper 2603.20589: Generating from Discrete Distributions Using Diffusions: Insights from Random Constraint Satisf...

arXiv - Machine Learning · 3 min ·
[2603.20418] Data-driven discovery of roughness descriptors for surface characterization and intimate contact modeling of unidirectional composite tapes
Machine Learning

[2603.20418] Data-driven discovery of roughness descriptors for surface characterization and intimate contact modeling of unidirectional composite tapes

Abstract page for arXiv paper 2603.20418: Data-driven discovery of roughness descriptors for surface characterization and intimate contac...

arXiv - Machine Learning · 4 min ·
[2603.14093] Not All Latent Spaces Are Flat: Hyperbolic Concept Control
Machine Learning

[2603.14093] Not All Latent Spaces Are Flat: Hyperbolic Concept Control

Abstract page for arXiv paper 2603.14093: Not All Latent Spaces Are Flat: Hyperbolic Concept Control

arXiv - Machine Learning · 3 min ·
[2603.13733] Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control
Machine Learning

[2603.13733] Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control

Abstract page for arXiv paper 2603.13733: Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control

arXiv - Machine Learning · 4 min ·
[2601.22725] OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
Machine Learning

[2601.22725] OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation

Abstract page for arXiv paper 2601.22725: OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation

arXiv - AI · 4 min ·
[2601.16296] Memory-V2V: Memory-Augmented Video-to-Video Diffusion for Consistent Multi-Turn Editing
Machine Learning

[2601.16296] Memory-V2V: Memory-Augmented Video-to-Video Diffusion for Consistent Multi-Turn Editing

Abstract page for arXiv paper 2601.16296: Memory-V2V: Memory-Augmented Video-to-Video Diffusion for Consistent Multi-Turn Editing

arXiv - Machine Learning · 3 min ·
[2601.08104] High-Fidelity Modeling of Stochastic Chemical Dynamics on Complex Manifolds: A Multi-Scale SIREN-PINN Framework for the Curvature-Perturbed Ginzburg-Landau Equation
Machine Learning

[2601.08104] High-Fidelity Modeling of Stochastic Chemical Dynamics on Complex Manifolds: A Multi-Scale SIREN-PINN Framework for the Curvature-Perturbed Ginzburg-Landau Equation

Abstract page for arXiv paper 2601.08104: High-Fidelity Modeling of Stochastic Chemical Dynamics on Complex Manifolds: A Multi-Scale SIRE...

arXiv - AI · 4 min ·
[2601.05848] Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals
Machine Learning

[2601.05848] Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals

Abstract page for arXiv paper 2601.05848: Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals

arXiv - AI · 4 min ·
[2601.00834] Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on Complex Riemannian Manifolds
Machine Learning

[2601.00834] Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on Complex Riemannian Manifolds

Abstract page for arXiv paper 2601.00834: Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on ...

arXiv - Machine Learning · 4 min ·
[2512.13157] Intrinsic Image Fusion for Multi-View 3D Material Reconstruction
Generative Ai

[2512.13157] Intrinsic Image Fusion for Multi-View 3D Material Reconstruction

Abstract page for arXiv paper 2512.13157: Intrinsic Image Fusion for Multi-View 3D Material Reconstruction

arXiv - AI · 3 min ·
[2512.11438] Flowception: Temporally Expansive Flow Matching for Video Generation
Generative Ai

[2512.11438] Flowception: Temporally Expansive Flow Matching for Video Generation

Abstract page for arXiv paper 2512.11438: Flowception: Temporally Expansive Flow Matching for Video Generation

arXiv - AI · 3 min ·
[2511.05501] Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners
Machine Learning

[2511.05501] Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners

Abstract page for arXiv paper 2511.05501: Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Cen...

arXiv - AI · 4 min ·
[2510.12060] Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
Machine Learning

[2510.12060] Your VAR Model is Secretly an Efficient and Explainable Generative Classifier

Abstract page for arXiv paper 2510.12060: Your VAR Model is Secretly an Efficient and Explainable Generative Classifier

arXiv - Machine Learning · 4 min ·
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