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Meet the Fellow: Berfin ?im?ek

NYU Center for Data Science

She brings a robust background in mathematics and physics, and her research focuses on neural network theory and other related areas such as random features and out-of-distribution generalization. In summer 2022, she gave a talk at a MetaAI group seminar on out-of-distribution generalization.

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

Towards AI

Deep learning multiple– layer artificial neural networks are the basis of deep learning, a subdivision of machine learning (hence the word “deep”). Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are two examples of deep learning methods that are being used more and more in GIS applications.

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This AI newsletter is all you need #32

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. Join us for free, interactive video sessions hosted live on Discord weekly by attending our upcoming events.

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Free eBooks on Artificial Intelligence to read in 2023

Dlabs.ai

Deep Learning with PyTorch Authors: Eli Stevens, Luca Antiga, Thomas Viehmann If you’re planning to build neural networks with PyTorch, you’ll want to begin your journey with this popular, open-source machine learning framework. Then, show you how to build a deep neural network from scratch.

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Blending Theory and Utility: The Vision and Impact of CDS’s MaD Group

NYU Center for Data Science

The group, however, quickly became well-known for a seminar that still serves as its flagship: the MaD seminar. Bruna and the early organizers of the MaD group crafted this seminar to be a nexus of research on the theoretical foundations of data science and machine learning. Bruna compared a neural net to gas in a room.

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Whence your reward function?

Hal Daumé III

I ran a grad seminar in reinforcement learning this past semester , which was a lot of fun and also gave me an opportunity to catch up on some stuff I'd been meaning to learn but haven't had a chance and old stuff I'd largely forgotten about.

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Featured AI2er: Patrick Beukema

Allen AI

We are in the process of fine-tuning and testing a new collection of deep neural networks designed and trained in-house that autonomously reviews all of the available information (GPS, vessel photos, wind and wave data, satellite imagery, and more). Real-life vessel monitoring with my son.