AI Startups

AI startup funding, launches, and acquisitions

This Week's Best | Monthly Best | Guide | Trending

Top This Week

There are more AI health tools than ever—but how well do they work? | MIT Technology Review
Llms

There are more AI health tools than ever—but how well do they work? | MIT Technology Review

Earlier this month, Microsoft launched Copilot Health, a new space within its Copilot app where users will be able to connect their medic...

MIT Technology Review - AI · 11 min ·
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 ·

All Content

[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 ·
[2508.07697] Semantic-Enhanced Time-Series Forecasting via Large Language Models
Llms

[2508.07697] Semantic-Enhanced Time-Series Forecasting via Large Language Models

Abstract page for arXiv paper 2508.07697: Semantic-Enhanced Time-Series Forecasting via Large Language Models

arXiv - Machine Learning · 4 min ·
[2508.02411] HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis
Machine Learning

[2508.02411] HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis

Abstract page for arXiv paper 2508.02411: HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis

arXiv - Machine Learning · 4 min ·
[2507.06996] Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
Ai Infrastructure

[2507.06996] Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing

Abstract page for arXiv paper 2507.06996: Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing

arXiv - Machine Learning · 3 min ·
[2506.15498] SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling
Llms

[2506.15498] SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling

Abstract page for arXiv paper 2506.15498: SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervisio...

arXiv - Machine Learning · 4 min ·
[2506.09427] A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation
Machine Learning

[2506.09427] A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation

Abstract page for arXiv paper 2506.09427: A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation

arXiv - AI · 4 min ·
[2504.14814] A Diagnostic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm
Machine Learning

[2504.14814] A Diagnostic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm

Abstract page for arXiv paper 2504.14814: A Diagnostic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm

arXiv - Machine Learning · 4 min ·
[2503.11120] A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
Machine Learning

[2503.11120] A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems

Abstract page for arXiv paper 2503.11120: A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Lea...

arXiv - Machine Learning · 4 min ·
[2505.17561] Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
Machine Learning

[2505.17561] Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model

Abstract page for arXiv paper 2505.17561: Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diff...

arXiv - AI · 4 min ·
[2412.18564] Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks
Machine Learning

[2412.18564] Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks

Abstract page for arXiv paper 2412.18564: Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics I...

arXiv - Machine Learning · 3 min ·
[2502.04326] WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs
Llms

[2502.04326] WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs

Abstract page for arXiv paper 2502.04326: WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs

arXiv - AI · 4 min ·
[2411.03292] Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping
Llms

[2411.03292] Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping

Abstract page for arXiv paper 2411.03292: Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive ...

arXiv - AI · 4 min ·
[2410.13648] SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
Llms

[2410.13648] SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs

Abstract page for arXiv paper 2410.13648: SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs

arXiv - AI · 4 min ·
[2603.01820] Deep Learning for Financial Time Series: A Large-Scale Benchmark of Risk-Adjusted Performance
Machine Learning

[2603.01820] Deep Learning for Financial Time Series: A Large-Scale Benchmark of Risk-Adjusted Performance

Abstract page for arXiv paper 2603.01820: Deep Learning for Financial Time Series: A Large-Scale Benchmark of Risk-Adjusted Performance

arXiv - Machine Learning · 4 min ·
[2603.01710] Legal RAG Bench: an end-to-end benchmark for legal RAG
Nlp

[2603.01710] Legal RAG Bench: an end-to-end benchmark for legal RAG

Abstract page for arXiv paper 2603.01710: Legal RAG Bench: an end-to-end benchmark for legal RAG

arXiv - Machine Learning · 4 min ·
[2603.01623] Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
Machine Learning

[2603.01623] Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration

Abstract page for arXiv paper 2603.01623: Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration

arXiv - Machine Learning · 4 min ·
[2603.01448] SEAnet: A Deep Learning Architecture for Data Series Similarity Search
Machine Learning

[2603.01448] SEAnet: A Deep Learning Architecture for Data Series Similarity Search

Abstract page for arXiv paper 2603.01448: SEAnet: A Deep Learning Architecture for Data Series Similarity Search

arXiv - Machine Learning · 3 min ·
[2510.16234] ScholarEval: Research Idea Evaluation Grounded in Literature
Nlp

[2510.16234] ScholarEval: Research Idea Evaluation Grounded in Literature

Abstract page for arXiv paper 2510.16234: ScholarEval: Research Idea Evaluation Grounded in Literature

arXiv - Machine Learning · 4 min ·
[2510.01367] Is It Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort
Machine Learning

[2510.01367] Is It Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort

Abstract page for arXiv paper 2510.01367: Is It Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort

arXiv - AI · 4 min ·
[2603.01270] VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling
Machine Learning

[2603.01270] VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling

Abstract page for arXiv paper 2603.01270: VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling

arXiv - Machine Learning · 3 min ·
Previous Page 26 Next

Related Topics

Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Subscribe to Newsletter

Daily or weekly digest • Unsubscribe anytime