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How can we teach students about AI and data science? Join our 2025 seminar series to learn more about the topic - Raspberry Pi Foundation

Flipboard

AI, machine learning (ML), and data science infuse our daily lives, from the recommendation functionality on music apps to technologies that

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Machine Learning and Language (ML²) at CDS: Moving NLP Forward

NYU Center for Data Science

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. By 2020, ML² was a thriving community, primarily known for its recurring speaker series where researchers presented their work to peers. What does it mean to work in NLP in the age of LLMs?

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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

Additionally, the elimination of human loop processes has made it possible for AI/ML to construct training data for data annotation and labeling, which has a major influence on geospatial data. This function can be improved by AI and ML, which allow GIS to produce insights, automate procedures, and learn from data.

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Learn AI Together — Towards AI Community Newsletter #21

Towards AI

Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI. Proj3ctg and their team are looking for someone well-versed in AI, ML, Unity, Stable Diffusion, and control nets.

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An Analysis of the Loss Functions in Keras CV Tutorials

Heartbeat

ML models use loss functions to help choose the model that is creating the best model fit for a given set of data (actual values are the most like the estimated values). Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free!

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Introducing ?YOLO-NAS: A New State-of-the-Art for Object Detection

Heartbeat

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! Both paths interconnect via cross-stage partial connections, which enables gradient flow. Innovation and academia go hand-in-hand. We pay our contributors, and we don’t sell ads.

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Using Self-Critiquing Chains in LangChain

Heartbeat

He read books, attended seminars, and talked to experts in the field. He read books, attended seminars, and talked to experts in the field. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.