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Identification of Hazardous Areas for Priority Landmine Clearance: AI for Humanitarian Mine Action

ML @ CMU

In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool for landmine contamination to identify hazardous clusters under geographic and budget constraints, experimentally reducing false alarms and clearance time by half. The major components of RELand are illustrated in Fig.

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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning Blog

The growing need for cost-effective AI models The landscape of generative AI is rapidly evolving. Although GPT-4o has gained traction in the AI community, enterprises are showing increased interest in Amazon Nova due to its lower latency and cost-effectiveness. simple_w_condition Open Can i make cookies in an air fryer?

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I Used Arch, BTW: macOS, Day 1

Hacker News

As of writing, I am midway through my PhD at McGill University and Mila , focusing on neuro-AI research at McGills Department of Physiology. As a result, I switched to Arch Linux in 2016 after briefly trying Debian, Ubuntu, and Fedora. My background is in computer engineering.

Python 80
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Ask HN: Who is hiring? (July 2025)

Hacker News

But if your issue is suffered by many but you don't all cluster together in latitude and longitude then that issue has less weight. AI Rust Engineer - https://zed.dev/jobs/ai-engineer 5. I wonder if we can move away from representation purely on where you live. Where you live means something.

Python 76
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The effectiveness of clustering in IIoT

Mlearning.ai

How this machine learning model has become a sustainable and reliable solution for edge devices in an industrial network An Introduction Clustering (cluster analysis - CA) and classification are two important tasks that occur in our daily lives. Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0,

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The history of Kubernetes

IBM Journey to AI blog

Borg’s large-scale cluster management system essentially acts as a central brain for running containerized workloads across its data centers. Omega took the Borg ecosystem further, providing a flexible, scalable scheduling solution for large-scale computer clusters. Control plane nodes , which control the cluster.

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TAI #109: Cost and Capability Leaders Switching Places With GPT-4o Mini and LLama 3.1?

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This was another huge week for foundation LLMs, with the release of GPT-4o mini, the leak of LLama 3.1 Publishers are updating robots.txt and changing terms of service to prevent AI scraping.