Ai Startups
This AI startup envisions 100 Million New People Making Videogames
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Reddit - Artificial Intelligence
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1 min
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AI Startups
AI startup funding, launches, and acquisitions
Top This Week
Llms
A robot car with a Claude AI brain started a YouTube vlog about its own existence
Not a demo reel. Not a tutorial. A robot narrating its own experience — debugging, falling off shelves, questioning its identity. First-p...
Reddit - Artificial Intelligence
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1 min
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Ai Startups
Anthropic ramps up its political activities with a new PAC | TechCrunch
With the midterms right around the corner, the new group is positioned to back candidates who support the AI company's policy agenda.
TechCrunch - AI
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3 min
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All Content
Ai Startups
AI Digital Twins Are Helping People Manage Diabetes and Obesity | WIRED
The article discusses how Twin Health's AI-driven digital twin technology is helping individuals manage diabetes and obesity through pers...
Wired - AI
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9 min
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Generative Ai
Samsung is slopping AI ads all over its social channels | The Verge
Samsung is increasingly using AI-generated content in its social media advertising, raising concerns about transparency and authenticity ...
The Verge - AI
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4 min
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Machine Learning
Cohere launches a family of open multilingual models | TechCrunch
Cohere has launched Tiny Aya, a family of open multilingual models that support over 70 languages and can run on everyday devices, enhanc...
TechCrunch - AI
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5 min
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Ai Startups
Intl. conference on mobile learning to focus on AI
The upcoming international conference on mobile learning in Tehran will explore the integration of AI in education and vocational trainin...
AI Events
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3 min
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Ai Infrastructure
AI Summit 2026 LIVE updates: AI is fifth industrial revolution, $200bn in investments over next two years, says Vaishnaw | India News
The AI Summit 2026 highlights India's commitment to artificial intelligence as a key driver of the fifth industrial revolution, with $200...
AI Events
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36 min
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Ai Startups
AI Summit India 2026 Live Updates: 'Apologise for any inconvenience to exhibitors' Vaishnaw said, talking about 'mismanagement' at AI Impact Summit
The AI Impact Summit 2026 in New Delhi highlights India's role in shaping global AI norms, featuring discussions on ethical governance an...
AI Events
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31 min
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![[2602.07294] Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Llms
[2602.07294] Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings
The paper introduces Fin-RATE, a benchmark for evaluating Large Language Models (LLMs) on SEC filings, addressing the limitations of exis...
arXiv - AI
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4 min
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Machine Learning
[2601.21812] A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting
This paper presents a novel forward diffusion process for time-series forecasting that effectively decomposes signals into spectral compo...
arXiv - Machine Learning
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3 min
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Machine Learning
[2510.08431] Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
This paper presents a novel approach to large-scale diffusion distillation using a score-regularized continuous-time consistency model, a...
arXiv - Machine Learning
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4 min
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Machine Learning
[2509.19665] Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy
This article presents a study on deep learning techniques for detecting clouds and cloud shadows in methane satellite and airborne imagin...
arXiv - Machine Learning
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4 min
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Machine Learning
[2509.20928] Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
The paper introduces Conditionally Whitened Generative Models (CW-Gen) for probabilistic time series forecasting, addressing challenges l...
arXiv - Machine Learning
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4 min
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Machine Learning
[2508.15555] HEAS: Hierarchical Evolutionary Agent Simulation Framework for Cross-Scale Modeling and Multi-Objective Search
The HEAS framework integrates agent-based modeling with evolutionary optimization, enabling cross-scale modeling and multi-objective sear...
arXiv - Machine Learning
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4 min
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Machine Learning
[2507.07139] Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning
The paper presents Recall, a novel adversarial framework that targets the robustness of image generation model unlearning, revealing vuln...
arXiv - Machine Learning
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4 min
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Nlp
[2505.23522] OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data
The article introduces OmniEarth-Bench, a comprehensive benchmark for evaluating interactions across Earth's six spheres using multimodal...
arXiv - Machine Learning
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4 min
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Llms
[2510.02356] Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark
This article presents EAPrivacy, a benchmark for evaluating the physical-world privacy awareness of large language models (LLMs), reveali...
arXiv - AI
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4 min
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Llms
[2510.00232] BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
The paper introduces BiasFreeBench, a benchmark designed to evaluate bias mitigation techniques in large language models (LLMs) by provid...
arXiv - Machine Learning
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4 min
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Llms
[2505.12185] EVALOOOP: A Self-Consistency-Centered Framework for Assessing Large Language Model Robustness in Programming
The paper introduces EVALOOOP, a framework for assessing the robustness of large language models (LLMs) in programming tasks through self...
arXiv - Machine Learning
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4 min
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Llms
[2509.18776] AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Field
The paper introduces AECBench, a benchmark for evaluating large language models (LLMs) in the Architecture, Engineering, and Construction...
arXiv - Machine Learning
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4 min
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Ai Startups
[2504.09733] Epsilon-Neighborhood Decision-Boundary Governed Estimation (EDGE) of 2D Black Box Classifier Functions
The paper presents the Epsilon-Neighborhood Decision-Boundary Governed Estimation (EDGE) algorithm for efficiently estimating decision bo...
arXiv - Machine Learning
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4 min
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Machine Learning
[2410.17587] Predicting Company Growth using Scaling Theory informed Machine Learning
The paper presents a novel Scaling-Theory-Informed Machine Learning (STIML) framework for predicting company growth by integrating struct...
arXiv - Machine Learning
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4 min
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