This AI startup envisions 100 Million New People Making Videogames
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AI startup funding, launches, and acquisitions
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Not a demo reel. Not a tutorial. A robot narrating its own experience — debugging, falling off shelves, questioning its identity. First-p...
With the midterms right around the corner, the new group is positioned to back candidates who support the AI company's policy agenda.
MixLinear introduces an ultra-lightweight model for multivariate time series forecasting, achieving high accuracy with only 0.1K paramete...
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This paper explores the efficiency of offline policy selection (OPS) in reinforcement learning, connecting it to off-policy evaluation (O...
Orcheo is an open-source platform designed to streamline conversational search by offering a modular architecture, production-ready infra...
ThermEval introduces a benchmark for evaluating vision-language models on thermal imagery, highlighting their limitations in temperature-...
This article presents the BETA-labeling framework for constructing a Bangla IR dataset, addressing challenges in low-resource languages a...
This article presents a trajectory-based safety audit of Clawdbot, an AI agent, evaluating its performance across various risk dimensions...
This ethnographic study explores the role of domain experts in the design and evaluation of Large Language Models (LLMs), highlighting ke...
The paper introduces InnoEval, a framework for evaluating research ideas using knowledge-grounded, multi-perspective reasoning, addressin...
The paper introduces FMMD, a multimodal open peer review dataset from F1000Research, addressing limitations in current datasets by integr...
This article explores Relative Voice Impression Estimation (RIE), focusing on how different speech modeling approaches affect listener pe...
The paper discusses an abstention-aware framework for scientific reasoning, emphasizing the importance of knowing when to abstain from an...
The paper explores the limitations of factuality evaluations in large language models (LLMs), identifying recall as a key bottleneck in a...
This paper presents novel locally private parametric methods for change-point detection, focusing on maintaining privacy while identifyin...
This paper explores data-driven equation discovery to enhance optimization processes in engineering, introducing the Learned Gradient Flo...
The paper introduces FUTON, a Fourier Tensor Network designed to enhance implicit neural representations (INRs) by improving convergence ...
The paper introduces Comparables XAI, a method for providing faithful, example-based AI explanations using counterfactual trace adjustmen...
This paper presents a novel approach to evaluating high-resolution range profile (HRRP) data using MFN decomposition, addressing challeng...
This paper evaluates various deep learning models for anomaly detection across multiple cloud telemetry datasets, highlighting the import...
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