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OpenAI, not yet public, raises $3B from retail investors in monster $122B fund raise | TechCrunch
Ai Infrastructure

OpenAI, not yet public, raises $3B from retail investors in monster $122B fund raise | TechCrunch

OpenAI's latest funding round, led by Amazon, Nvidia, and SoftBank, values the AI lab at $852 billion as it nears an IPO.

TechCrunch - AI · 4 min ·
Machine Learning

[R] Fine-tuning services report

If you have some data and want to train or run a small custom model but don't have powerful enough hardware for training, fine-tuning ser...

Reddit - Machine Learning · 1 min ·
Machine Learning

The AI Chip War is Just Getting Started

Everyone talks about AI models, but the real bottleneck might be hardware. According to a recent study by Roots Analysis: AI chip market ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2509.21764] CubistMerge: Spatial-Preserving Token Merging For Diverse ViT Backbones
Nlp

[2509.21764] CubistMerge: Spatial-Preserving Token Merging For Diverse ViT Backbones

Abstract page for arXiv paper 2509.21764: CubistMerge: Spatial-Preserving Token Merging For Diverse ViT Backbones

arXiv - Machine Learning · 4 min ·
[2509.10756] Quantum parameter estimation with uncertainty quantification from continuous measurement data using neural network ensembles
Machine Learning

[2509.10756] Quantum parameter estimation with uncertainty quantification from continuous measurement data using neural network ensembles

Abstract page for arXiv paper 2509.10756: Quantum parameter estimation with uncertainty quantification from continuous measurement data u...

arXiv - Machine Learning · 3 min ·
[2509.01799] Optimal information injection and transfer mechanisms for active matter reservoir computing
Machine Learning

[2509.01799] Optimal information injection and transfer mechanisms for active matter reservoir computing

Abstract page for arXiv paper 2509.01799: Optimal information injection and transfer mechanisms for active matter reservoir computing

arXiv - Machine Learning · 4 min ·
[2507.16001] Separating Ansatz Discovery from Deployment on Larger Problems: Reinforcement Learning for Modular Circuit Design
Machine Learning

[2507.16001] Separating Ansatz Discovery from Deployment on Larger Problems: Reinforcement Learning for Modular Circuit Design

Abstract page for arXiv paper 2507.16001: Separating Ansatz Discovery from Deployment on Larger Problems: Reinforcement Learning for Modu...

arXiv - Machine Learning · 4 min ·
[2507.07469] A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time Series: Closed-Form Estimation and Rolling-Window Inference
Machine Learning

[2507.07469] A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time Series: Closed-Form Estimation and Rolling-Window Inference

Abstract page for arXiv paper 2507.07469: A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time S...

arXiv - Machine Learning · 4 min ·
[2506.05639] FictionalQA: A Dataset for Studying Memorization and Knowledge Acquisition
Llms

[2506.05639] FictionalQA: A Dataset for Studying Memorization and Knowledge Acquisition

Abstract page for arXiv paper 2506.05639: FictionalQA: A Dataset for Studying Memorization and Knowledge Acquisition

arXiv - Machine Learning · 3 min ·
[2501.15849] Data-Driven Prediction and Control of Hammerstein-Wiener Systems with Implicit Gaussian Processes
Machine Learning

[2501.15849] Data-Driven Prediction and Control of Hammerstein-Wiener Systems with Implicit Gaussian Processes

Abstract page for arXiv paper 2501.15849: Data-Driven Prediction and Control of Hammerstein-Wiener Systems with Implicit Gaussian Processes

arXiv - Machine Learning · 4 min ·
[2406.16227] VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data
Machine Learning

[2406.16227] VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data

Abstract page for arXiv paper 2406.16227: VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data

arXiv - Machine Learning · 4 min ·
[2602.04083] Structure-Informed Estimation for Pilot-Limited MIMO Channels via Tensor Decomposition
Ai Infrastructure

[2602.04083] Structure-Informed Estimation for Pilot-Limited MIMO Channels via Tensor Decomposition

Abstract page for arXiv paper 2602.04083: Structure-Informed Estimation for Pilot-Limited MIMO Channels via Tensor Decomposition

arXiv - AI · 4 min ·
[2602.01649] Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning
Llms

[2602.01649] Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning

Abstract page for arXiv paper 2602.01649: Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning

arXiv - AI · 4 min ·
[2602.08324] Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression
Llms

[2602.08324] Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression

Abstract page for arXiv paper 2602.08324: Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression

arXiv - Machine Learning · 4 min ·
[2602.05735] CSRv2: Unlocking Ultra-Sparse Embeddings
Llms

[2602.05735] CSRv2: Unlocking Ultra-Sparse Embeddings

Abstract page for arXiv paper 2602.05735: CSRv2: Unlocking Ultra-Sparse Embeddings

arXiv - Machine Learning · 4 min ·
[2602.00640] Combinatorial Bandit Bayesian Optimization for Tensor Outputs
Machine Learning

[2602.00640] Combinatorial Bandit Bayesian Optimization for Tensor Outputs

Abstract page for arXiv paper 2602.00640: Combinatorial Bandit Bayesian Optimization for Tensor Outputs

arXiv - Machine Learning · 4 min ·
[2601.20088] Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery
Llms

[2601.20088] Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery

Abstract page for arXiv paper 2601.20088: Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery

arXiv - Machine Learning · 4 min ·
[2601.19961] MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
Machine Learning

[2601.19961] MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference

Abstract page for arXiv paper 2601.19961: MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference

arXiv - Machine Learning · 4 min ·
[2601.04786] AgentOCR: Reimagining Agent History via Optical Self-Compression
Llms

[2601.04786] AgentOCR: Reimagining Agent History via Optical Self-Compression

Abstract page for arXiv paper 2601.04786: AgentOCR: Reimagining Agent History via Optical Self-Compression

arXiv - Machine Learning · 4 min ·
[2511.08616] Reasoning on Time-Series for Financial Technical Analysis
Llms

[2511.08616] Reasoning on Time-Series for Financial Technical Analysis

Abstract page for arXiv paper 2511.08616: Reasoning on Time-Series for Financial Technical Analysis

arXiv - Machine Learning · 4 min ·
[2511.01191] Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
Machine Learning

[2511.01191] Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning

Abstract page for arXiv paper 2511.01191: Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement L...

arXiv - Machine Learning · 4 min ·
[2512.03324] Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs
Llms

[2512.03324] Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs

Abstract page for arXiv paper 2512.03324: Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs

arXiv - Machine Learning · 4 min ·
[2511.19473] WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning
Llms

[2511.19473] WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning

Abstract page for arXiv paper 2511.19473: WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning

arXiv - Machine Learning · 4 min ·
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Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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