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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 ·
The Download: brainless human clones and the first uterus kept alive outside a body | MIT Technology Review
Ai Startups

The Download: brainless human clones and the first uterus kept alive outside a body | MIT Technology Review

AI data centers can significantly warm up surrounding areas.

MIT Technology Review · 5 min ·

All Content

[2603.03230] SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking
Machine Learning

[2603.03230] SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking

Abstract page for arXiv paper 2603.03230: SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enabl...

arXiv - AI · 3 min ·
[2603.03229] Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine Learning
Machine Learning

[2603.03229] Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine Learning

Abstract page for arXiv paper 2603.03229: Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine L...

arXiv - Machine Learning · 4 min ·
[2603.03040] cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
Machine Learning

[2603.03040] cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series

Abstract page for arXiv paper 2603.03040: cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series

arXiv - AI · 4 min ·
[2603.02266] When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning
Llms

[2603.02266] When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning

Abstract page for arXiv paper 2603.02266: When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware ...

arXiv - AI · 4 min ·
[2603.02970] LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization
Ai Startups

[2603.02970] LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization

Abstract page for arXiv paper 2603.02970: LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimiz...

arXiv - Machine Learning · 3 min ·
[2603.02913] Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
Llms

[2603.02913] Eliciting Numerical Predictive Distributions of LLMs Without Autoregression

Abstract page for arXiv paper 2603.02913: Eliciting Numerical Predictive Distributions of LLMs Without Autoregression

arXiv - AI · 3 min ·
[2603.02906] Towards Accurate and Interpretable Time-series Forecasting: A Polynomial Learning Approach
Ai Startups

[2603.02906] Towards Accurate and Interpretable Time-series Forecasting: A Polynomial Learning Approach

Abstract page for arXiv paper 2603.02906: Towards Accurate and Interpretable Time-series Forecasting: A Polynomial Learning Approach

arXiv - Machine Learning · 3 min ·
[2603.02902] Distributed Dynamic Invariant Causal Prediction in Environmental Time Series
Machine Learning

[2603.02902] Distributed Dynamic Invariant Causal Prediction in Environmental Time Series

Abstract page for arXiv paper 2603.02902: Distributed Dynamic Invariant Causal Prediction in Environmental Time Series

arXiv - Machine Learning · 3 min ·
[2603.02840] Adapting Time Series Foundation Models through Data Mixtures
Llms

[2603.02840] Adapting Time Series Foundation Models through Data Mixtures

Abstract page for arXiv paper 2603.02840: Adapting Time Series Foundation Models through Data Mixtures

arXiv - Machine Learning · 4 min ·
[2603.02756] Rethinking Time Series Domain Generalization via Structure-Stratified Calibration
Ai Safety

[2603.02756] Rethinking Time Series Domain Generalization via Structure-Stratified Calibration

Abstract page for arXiv paper 2603.02756: Rethinking Time Series Domain Generalization via Structure-Stratified Calibration

arXiv - Machine Learning · 3 min ·
[2603.02212] GLEAN: Grounded Lightweight Evaluation Anchors for Contamination-Aware Tabular Reasoning
Machine Learning

[2603.02212] GLEAN: Grounded Lightweight Evaluation Anchors for Contamination-Aware Tabular Reasoning

Abstract page for arXiv paper 2603.02212: GLEAN: Grounded Lightweight Evaluation Anchors for Contamination-Aware Tabular Reasoning

arXiv - AI · 3 min ·
[2504.21023] Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
Llms

[2504.21023] Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost

Abstract page for arXiv paper 2504.21023: Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost

arXiv - AI · 4 min ·
[2603.03233] AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework
Llms

[2603.03233] AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework

Abstract page for arXiv paper 2603.03233: AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework

arXiv - AI · 4 min ·
[2603.02620] Same Error, Different Function: The Optimizer as an Implicit Prior in Financial Time Series
Machine Learning

[2603.02620] Same Error, Different Function: The Optimizer as an Implicit Prior in Financial Time Series

Abstract page for arXiv paper 2603.02620: Same Error, Different Function: The Optimizer as an Implicit Prior in Financial Time Series

arXiv - Machine Learning · 3 min ·
[2603.03116] Beyond Task Completion: Revealing Corrupt Success in LLM Agents through Procedure-Aware Evaluation
Llms

[2603.03116] Beyond Task Completion: Revealing Corrupt Success in LLM Agents through Procedure-Aware Evaluation

Abstract page for arXiv paper 2603.03116: Beyond Task Completion: Revealing Corrupt Success in LLM Agents through Procedure-Aware Evaluation

arXiv - AI · 4 min ·
[2603.03002] SpatialText: A Pure-Text Cognitive Benchmark for Spatial Understanding in Large Language Models
Llms

[2603.03002] SpatialText: A Pure-Text Cognitive Benchmark for Spatial Understanding in Large Language Models

Abstract page for arXiv paper 2603.03002: SpatialText: A Pure-Text Cognitive Benchmark for Spatial Understanding in Large Language Models

arXiv - AI · 4 min ·
[2603.02482] MUSE: A Run-Centric Platform for Multimodal Unified Safety Evaluation of Large Language Models
Llms

[2603.02482] MUSE: A Run-Centric Platform for Multimodal Unified Safety Evaluation of Large Language Models

Abstract page for arXiv paper 2603.02482: MUSE: A Run-Centric Platform for Multimodal Unified Safety Evaluation of Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.02702] FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing
Nlp

[2603.02702] FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing

Abstract page for arXiv paper 2603.02702: FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing

arXiv - Machine Learning · 4 min ·
[2603.02273] Graph Attention Based Prioritization of Disease Responsible Genes from Multimodal Alzheimer's Network
Machine Learning

[2603.02273] Graph Attention Based Prioritization of Disease Responsible Genes from Multimodal Alzheimer's Network

Abstract page for arXiv paper 2603.02273: Graph Attention Based Prioritization of Disease Responsible Genes from Multimodal Alzheimer's N...

arXiv - Machine Learning · 4 min ·
[2603.02542] AnchorDrive: LLM Scenario Rollout with Anchor-Guided Diffusion Regeneration for Safety-Critical Scenario Generation
Llms

[2603.02542] AnchorDrive: LLM Scenario Rollout with Anchor-Guided Diffusion Regeneration for Safety-Critical Scenario Generation

Abstract page for arXiv paper 2603.02542: AnchorDrive: LLM Scenario Rollout with Anchor-Guided Diffusion Regeneration for Safety-Critical...

arXiv - AI · 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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