The more accurate we try to make AI models, the bigger their carbon footprint — with some prompts producing up to 50 times more carbon dioxide emissions than others, a new study has revealed ...

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Scaling AI often falters not because of technical shortcomings, but due to flawed operating models. Many organizations remain stuck in a cycle of pilot projects and prototypes that fail to scale or ...

Federated learning is a widely used method for collaborative machine learning without sharing local data. In this approach, participants train models using their local data, and the model updates are ...

Tabular data [Li2024] Anomaly Detection of Tabular Data Using LLMs in IJCAI-W, 2024. [paper] [code] [Tsai2025] AnoLLM: Large Language Models for Tabular Anomaly Detection in ICLR, 2025. [paper] [code] ...

02-7-2025: Deployed Mobile-VideoGPT-0.5B and LLaVa-One-Vision-0.5B on Jetson Orin Nano. 📈 Mobile-VideoGPT achieved 7.3 tokens/sec, more than 2× faster than LLaVa-One-Vision (3.4 tokens/sec).

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We examine the labor market effects of AI chatbots using two large-scale adoption surveys (late 2023 and 2024) covering 11 exposed occupations (25,000 workers, 7,000 workplaces), linked to matched ...