What can this help achieve? Real-world applications include: Public Health: Understanding disease spread/optimizing interventions. Climate Resilience: Risk modeling /planning adaptation. Commercial Apps: Enhancing logistics, site selection, demand forecasting.
MACHINE LEARNING
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Google Remote Sensing Foundation Models Trusted Tester Program
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Learn about Geospatial Reasoning: https://
goo.gle/42jJVKK
Interested in testing the new remote sensing foundation models? Express your interest in the trusted tester program: https://
goo.gle/4j9hkir -
Geospatial Foundation Models for Satellite Imagery Analysis
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Crucially, this reasoning will be grounded in real-world data. This is powered by specialized AI like our geospatial foundation models, including a new remote sensing model, which can help analyze satellite and aerial imagery.
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Reward Models and Reinforcement Learning Optimization Advances
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“From a human perspective, this is the easiest way to get data.” Mosaic ML and Databricks Research Scientist Brandon Cui joined the latest episode of Data Brew to explore cutting-edge advancements in AI model optimization — specifically, Reward Models and Reinforcement Learning
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Word of Mouth Ensemble for Private Boutique Evaluations
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ikr atm trying a word of mouth ensemble over all the boutique private evals out there
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AI Index 2025: 10-Chart Overview of AI’s Current State
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Before you ask your favorite AI chatbot to summarize the #AIIndex2025 434-page report, read first this 10-chart overview written by a human: https://t.co/mmq0qsKZ50 pic.twitter.com/85SuV5EiiM
— Stanford HAI (@StanfordHAI) 8 avril 2025Before you ask your favorite AI chatbot to summarize the #AIIndex2025 434-page report, read first this 10-chart overview written by a human: https://
hai.stanford.edu/news/ai-index-
2025-state-of-ai-in-10-charts
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Master Machine Learning and AI with SAS Free Trial
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Stay ahead in the competitive job market by mastering Machine Learning and AI with SAS. Explore your future with a free trial. #LearnSAS http://
2.sas.com/6012LdNB0 -
Practical Quantization in PyTorch for Efficient AI Models
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Practical Quantization in PyTorch https://
buff.ly/HSfKuRq
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Scientist-v2 Paper Accepted at ICLR 2025 Workshop
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Earlier, we reported that a paper generated entirely by The AI Scientist-v2 passed the peer-review process at a workshop (at @iclr_conf 2025). We documented the entire experimental process and our learnings in an earlier blog post: https://
sakana.ai/ai-scientist-f
irst-publication/
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Deep Research for arXiv: AI-Powered Literature Review Tool
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Introducing Deep Research for arXiv
— alphaXiv (@askalphaxiv) 8 avril 2025
Ask questions like 'What are the latest breakthroughs in RL fine-tuning?' and get comprehensive lit reviews with trending papers automatically included
Turn hours of literature searches into seconds with AI-powered research context ⚡ pic.twitter.com/R08xzqbuGyIntroducing Deep Research for arXiv Ask questions like 'What are the latest breakthroughs in RL fine-tuning?' and get comprehensive lit reviews with trending papers automatically included Turn hours of literature searches into seconds with AI-powered research context