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
![[2602.16643] Factorization Machine with Quadratic-Optimization Annealing for RNA Inverse Folding and Evaluation of Binary-Integer Encoding and Nucleotide Assignment](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Machine Learning
[2602.16643] Factorization Machine with Quadratic-Optimization Annealing for RNA Inverse Folding and Evaluation of Binary-Integer Encoding and Nucleotide Assignment
This article presents a novel method using factorization machines with quadratic-optimization annealing (FMQA) to tackle the RNA inverse ...
arXiv - Machine Learning
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4 min
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Llms
[2602.16626] A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models
This article evaluates sample-level tokenization strategies for MEG foundation models, comparing learnable and non-learnable approaches t...
arXiv - AI
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4 min
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Machine Learning
[2602.16531] Transfer Learning of Linear Regression with Multiple Pretrained Models: Benefiting from More Pretrained Models via Overparameterization Debiasing
This paper explores transfer learning in linear regression using multiple pretrained models, highlighting the benefits of overparameteriz...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.16468] HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting
The paper presents HPMixer, a novel approach for multivariate time series forecasting that effectively models periodic patterns and resid...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.16449] GICDM: Mitigating Hubness for Reliable Distance-Based Generative Model Evaluation
The paper presents GICDM, a method to mitigate hubness in distance-based evaluations of generative models, enhancing reliability and alig...
arXiv - AI
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3 min
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Machine Learning
[2602.16442] Hardware-accelerated graph neural networks: an alternative approach for neuromorphic event-based audio classification and keyword spotting on SoC FPGA
The paper presents a hardware-accelerated graph neural network approach for neuromorphic event-based audio classification and keyword spo...
arXiv - AI
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4 min
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Machine Learning
[2602.16400] Easy Data Unlearning Bench
The paper introduces the Easy Data Unlearning Bench, a unified benchmarking suite aimed at simplifying the evaluation of machine unlearni...
arXiv - Machine Learning
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3 min
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Ai Agents
[2602.16666] Towards a Science of AI Agent Reliability
This paper explores the reliability of AI agents, proposing twelve metrics to evaluate their performance across dimensions like consisten...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.16336] HAWX: A Hardware-Aware FrameWork for Fast and Scalable ApproXimation of DNNs
HAWX introduces a hardware-aware framework for efficiently approximating deep neural networks (DNNs), achieving significant speedups whil...
arXiv - AI
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3 min
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Llms
[2602.16246] Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents
This paper presents a Proxy State-Based Evaluation framework for assessing multi-turn tool-calling LLM agents, offering a scalable altern...
arXiv - AI
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4 min
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Machine Learning
[2602.16224] Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification
The paper presents an Amortized Predictability-aware Training Framework (APTF) designed to enhance time series forecasting and classifica...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.16220] SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting
The paper presents SEMixer, a novel multiscale model designed for long-term time series forecasting, addressing challenges in modeling te...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.16204] Linked Data Classification using Neurochaos Learning
This article explores the application of Neurochaos Learning (NL) to linked data classification, demonstrating its effectiveness on knowl...
arXiv - Machine Learning
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3 min
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Llms
[2602.16188] Deep TPC: Temporal-Prior Conditioning for Time Series Forecasting
The paper introduces Temporal-Prior Conditioning (TPC) for time series forecasting, enhancing temporal reasoning by integrating time as a...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.16101] Axle Sensor Fusion for Online Continual Wheel Fault Detection in Wayside Railway Monitoring
This paper presents a novel framework for online continual wheel fault detection in railway systems using axle sensor fusion and machine ...
arXiv - Machine Learning
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4 min
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Machine Learning
[2602.16042] AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models
The paper proposes AI-CARE, a carbon-aware evaluation metric for machine learning models, addressing the environmental impact of model tr...
arXiv - Machine Learning
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3 min
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Ai Startups
Is an AI price war about to begin?
The article explores the potential onset of a price war in the AI industry, driven by competition among major players and advancements in...
AI News - General
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1 min
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Ai Infrastructure
OpenAI taps Tata for 100MW AI data center capacity in India, eyes 1GW | TechCrunch
OpenAI partners with Tata Group to secure 100MW of AI data center capacity in India, aiming to expand to 1GW, enhancing enterprise AI ado...
TechCrunch - AI
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6 min
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Llms
OpenAI deepens India push with Pine Labs fintech partnership | TechCrunch
OpenAI partners with Pine Labs to enhance AI-driven payment solutions in India, aiming to streamline enterprise workflows and expand its ...
TechCrunch - AI
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7 min
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Machine Learning
[Hiring] Founding ML Engineer (Scientific ML/PINNs)
InTensors is hiring a Founding ML Engineer specializing in Scientific ML and Physics-Informed Neural Networks (PINNs) for a full-time rol...
Reddit - ML Jobs
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1 min
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