Ai Startups
This AI startup envisions 100 Million New People Making Videogames
submitted by /u/sharkymcstevenson2 [link] [comments]
Reddit - Artificial Intelligence
·
1 min
·
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
·
1 min
·
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
·
3 min
·
All Content
![[2602.13576] Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Llms
[2602.13576] Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges
The paper identifies a vulnerability in large language model (LLM) evaluation processes, termed Rubric-Induced Preference Drift (RIPD), w...
arXiv - AI
·
4 min
·
Llms
[2602.13504] From Perceptions To Evidence: Detecting AI-Generated Content In Turkish News Media With A Fine-Tuned Bert Classifier
This study presents a fine-tuned BERT classifier for detecting AI-generated content in Turkish news media, achieving a high F1 score and ...
arXiv - AI
·
4 min
·
Nlp
[2602.14914] Additive Control Variates Dominate Self-Normalisation in Off-Policy Evaluation
This paper presents a theoretical analysis demonstrating that additive control variates outperform self-normalisation techniques in off-p...
arXiv - Machine Learning
·
3 min
·
Nlp
[2602.14855] A Pragmatic Method for Comparing Clusterings with Overlaps and Outliers
This paper presents a new method for comparing clustering results that accommodates overlaps and outliers, addressing a gap in existing e...
arXiv - Machine Learning
·
3 min
·
Llms
[2602.13376] An Online Reference-Free Evaluation Framework for Flowchart Image-to-Code Generation
This article presents a novel reference-free evaluation framework for assessing the quality of flowchart image-to-code generation, utiliz...
arXiv - AI
·
3 min
·
Machine Learning
[2602.13349] From Prompt to Production:Automating Brand-Safe Marketing Imagery with Text-to-Image Models
This paper discusses a new automated pipeline for generating brand-safe marketing imagery using text-to-image models, balancing automatio...
arXiv - AI
·
3 min
·
Machine Learning
[2602.14571] DCTracks: An Open Dataset for Machine Learning-Based Drift Chamber Track Reconstruction
The article presents DCTracks, a new open dataset designed for machine learning-based track reconstruction in drift chambers, featuring s...
arXiv - Machine Learning
·
3 min
·
Machine Learning
[2602.13312] PeroMAS: A Multi-agent System of Perovskite Material Discovery
PeroMAS introduces a multi-agent system for discovering perovskite materials, enhancing efficiency in photovoltaic research through a com...
arXiv - AI
·
4 min
·
Machine Learning
[2602.13244] Responsible AI in Business
The paper discusses the concept of Responsible AI in business, focusing on its implementation in small and medium-sized enterprises. It c...
arXiv - AI
·
4 min
·
Llms
[2602.13243] Judging the Judges: Human Validation of Multi-LLM Evaluation for High-Quality K--12 Science Instructional Materials
This study evaluates AI-generated assessments of K-12 science instructional materials, comparing them with expert reviews to enhance futu...
arXiv - AI
·
4 min
·
Llms
[2602.14233] Evaluating LLMs in Finance Requires Explicit Bias Consideration
This paper discusses the need for explicit bias consideration in evaluating Large Language Models (LLMs) used in finance, identifying fiv...
arXiv - AI
·
3 min
·
Llms
[2602.14200] TS-Haystack: A Multi-Scale Retrieval Benchmark for Time Series Language Models
The paper introduces TS-Haystack, a benchmark for evaluating Time Series Language Models (TSLMs) on long-context retrieval tasks, address...
arXiv - Machine Learning
·
4 min
·
Ai Infrastructure
[2602.15019] Hunt Globally: Deep Research AI Agents for Drug Asset Scouting in Investing, Business Development, and Search & Evaluation
The paper discusses the development of a Deep Research AI agent, Bioptic Agent, designed for drug asset scouting, particularly in non-U.S...
arXiv - AI
·
4 min
·
Llms
[2602.14161] When Benchmarks Lie: Evaluating Malicious Prompt Classifiers Under True Distribution Shift
This paper evaluates the effectiveness of malicious prompt classifiers under true distribution shifts, revealing significant performance ...
arXiv - Machine Learning
·
4 min
·
Machine Learning
[2602.14795] Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs
This paper presents a novel resource for building complete datasets that integrate schema and ground facts for machine learning and reaso...
arXiv - Machine Learning
·
4 min
·
Machine Learning
[2602.14721] WebWorld: A Large-Scale World Model for Web Agent Training
WebWorld introduces a large-scale simulator for training web agents, utilizing over 1 million open-web interactions to enhance generaliza...
arXiv - AI
·
3 min
·
Llms
[2602.14024] EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models
The paper introduces EIDOS, a novel approach to time series modeling that focuses on latent-space predictive learning, enhancing the stru...
arXiv - AI
·
3 min
·
Robotics
[2602.14691] Removing Planner Bias in Goal Recognition Through Multi-Plan Dataset Generation
This paper presents a method to eliminate planner bias in goal recognition using multi-plan dataset generation, enhancing the evaluation ...
arXiv - AI
·
3 min
·
Ai Agents
[2602.13807] AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning
AnomaMind presents a novel framework for time series anomaly detection, enhancing traditional methods by incorporating tool-augmented rea...
arXiv - Machine Learning
·
4 min
·
Machine Learning
[2602.13802] Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting
The paper presents Cast-R1, a novel framework for time series forecasting that reformulates the problem as a sequential decision-making t...
arXiv - Machine Learning
·
4 min
·
Related Topics
Stay updated with AI News
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime