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ScaleOps raises $130M to improve computing efficiency amid AI demand | TechCrunch
Ai Infrastructure

ScaleOps raises $130M to improve computing efficiency amid AI demand | TechCrunch

ScaleOps just raised $130M to tackle GPU shortages and soaring AI cloud costs by automating infrastructure in real time.

TechCrunch - AI · 5 min ·
AI chip startup Rebellions raises $400 million at $2.3B valuation in pre-IPO round | TechCrunch
Machine Learning

AI chip startup Rebellions raises $400 million at $2.3B valuation in pre-IPO round | TechCrunch

The startup, which is planning to go public later this year, designs chips specifically for AI inference, another challenger to Nvidia's ...

TechCrunch - AI · 4 min ·
Starcloud raises $170 million Series Ato build data centers in space | TechCrunch
Ai Startups

Starcloud raises $170 million Series Ato build data centers in space | TechCrunch

Starcloud becomes the fastest Y Combinator startup to reach unicorn status, just 17 months after demo day.

TechCrunch - AI · 7 min ·

All Content

[2602.12267] Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
Ai Startups

[2602.12267] Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data

Abstract page for arXiv paper 2602.12267: Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data

arXiv - Machine Learning · 4 min ·
[2601.04403] Balancing Usability and Compliance in AI Smart Devices: A Privacy-by-Design Audit of Google Home, Alexa, and Siri
Ai Startups

[2601.04403] Balancing Usability and Compliance in AI Smart Devices: A Privacy-by-Design Audit of Google Home, Alexa, and Siri

Abstract page for arXiv paper 2601.04403: Balancing Usability and Compliance in AI Smart Devices: A Privacy-by-Design Audit of Google Hom...

arXiv - AI · 4 min ·
[2602.04369] Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis
Llms

[2602.04369] Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis

Abstract page for arXiv paper 2602.04369: Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis

arXiv - Machine Learning · 4 min ·
[2512.14341] Towards Transferable Defense Against Malicious Image Edits
Machine Learning

[2512.14341] Towards Transferable Defense Against Malicious Image Edits

Abstract page for arXiv paper 2512.14341: Towards Transferable Defense Against Malicious Image Edits

arXiv - Machine Learning · 4 min ·
[2602.00654] PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting
Machine Learning

[2602.00654] PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting

Abstract page for arXiv paper 2602.00654: PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting

arXiv - Machine Learning · 4 min ·
[2601.13435] A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization
Machine Learning

[2601.13435] A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization

Abstract page for arXiv paper 2601.13435: A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimiza...

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 ·
[2512.11582] Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model
Llms

[2512.11582] Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model

Abstract page for arXiv paper 2512.11582: Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model

arXiv - Machine Learning · 4 min ·
[2510.20487] Steering Evaluation-Aware Language Models to Act Like They Are Deployed
Llms

[2510.20487] Steering Evaluation-Aware Language Models to Act Like They Are Deployed

Abstract page for arXiv paper 2510.20487: Steering Evaluation-Aware Language Models to Act Like They Are Deployed

arXiv - AI · 4 min ·
[2510.18560] WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality
Llms

[2510.18560] WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality

Abstract page for arXiv paper 2510.18560: WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality

arXiv - AI · 4 min ·
[2510.13888] Reliable Fine-Grained Evaluation of Natural Language Math Proofs
Llms

[2510.13888] Reliable Fine-Grained Evaluation of Natural Language Math Proofs

Abstract page for arXiv paper 2510.13888: Reliable Fine-Grained Evaluation of Natural Language Math Proofs

arXiv - AI · 4 min ·
[2510.10125] Ctrl-World: A Controllable Generative World Model for Robot Manipulation
Machine Learning

[2510.10125] Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Abstract page for arXiv paper 2510.10125: Ctrl-World: A Controllable Generative World Model for Robot Manipulation

arXiv - AI · 4 min ·
[2510.10066] OBsmith: LLM-Powered JavaScript Obfuscator Testing
Llms

[2510.10066] OBsmith: LLM-Powered JavaScript Obfuscator Testing

Abstract page for arXiv paper 2510.10066: OBsmith: LLM-Powered JavaScript Obfuscator Testing

arXiv - AI · 4 min ·
[2510.07959] DISCO: Diversifying Sample Condensation for Efficient Model Evaluation
Machine Learning

[2510.07959] DISCO: Diversifying Sample Condensation for Efficient Model Evaluation

Abstract page for arXiv paper 2510.07959: DISCO: Diversifying Sample Condensation for Efficient Model Evaluation

arXiv - Machine Learning · 4 min ·
[2510.05060] ResCP: Reservoir Conformal Prediction for Time Series Forecasting
Machine Learning

[2510.05060] ResCP: Reservoir Conformal Prediction for Time Series Forecasting

Abstract page for arXiv paper 2510.05060: ResCP: Reservoir Conformal Prediction for Time Series Forecasting

arXiv - Machine Learning · 4 min ·
[2510.02386] On The Fragility of Benchmark Contamination Detection in Reasoning Models
Machine Learning

[2510.02386] On The Fragility of Benchmark Contamination Detection in Reasoning Models

Abstract page for arXiv paper 2510.02386: On The Fragility of Benchmark Contamination Detection in Reasoning Models

arXiv - Machine Learning · 4 min ·
[2509.26601] MENLO: From Preferences to Proficiency -- Evaluating and Modeling Native-like Quality Across 47 Languages
Llms

[2509.26601] MENLO: From Preferences to Proficiency -- Evaluating and Modeling Native-like Quality Across 47 Languages

Abstract page for arXiv paper 2509.26601: MENLO: From Preferences to Proficiency -- Evaluating and Modeling Native-like Quality Across 47...

arXiv - Machine Learning · 4 min ·
[2509.26346] EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
Llms

[2509.26346] EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing

Abstract page for arXiv paper 2509.26346: EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing

arXiv - AI · 4 min ·
[2509.22957] Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas
Llms

[2509.22957] Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas

Abstract page for arXiv paper 2509.22957: Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas

arXiv - Machine Learning · 4 min ·
[2509.15394] VMDNet: Temporal Leakage-Free Variational Mode Decomposition for Electricity Demand Forecasting
Machine Learning

[2509.15394] VMDNet: Temporal Leakage-Free Variational Mode Decomposition for Electricity Demand Forecasting

Abstract page for arXiv paper 2509.15394: VMDNet: Temporal Leakage-Free Variational Mode Decomposition for Electricity Demand Forecasting

arXiv - Machine Learning · 3 min ·
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