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6/27/2022
12 : 24
📝 Guest post: Right-Sizing Training Workloads with NVIDIA A100 and A40 GPUs*
In this article, CoreWeave's team explains how it is helping companies deploy more timely and efficient AI applications by right-sizing projects to optimize training on both NVIDIA A100 and A40 GPU
6/26/2022
11 : 14
📹 🤖 Transformers for Video
Weekly news digest curated by the industry insiders
6/24/2022
12 : 4
🎙 Orly Amsalem/cnvrg.io on building developer-first ML products
Can software developer be transformed into an ML creator?
6/23/2022
12 : 24
🟢⚪️ Edge#202: How to Ship ML-powered Apps with Baseten
Building a performant model is just the start, what to do next?
6/22/2022
11 : 54
🎙 Google’s Allen Day on Using ML in the Cryptocurrency Space
It's so inspiring to learn from practitioners and thinkers. Getting to know the experience gained by researchers, engineers, and entrepreneurs doing real ML work is an excellent source of insight
6/21/2022
16 : 14
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6/21/2022
11 : 24
💠 Edge#201: Understanding Graph Convolutional Neural Networks
In this issue: we explain Graph Convolutional Neural Networks; we overview the original GCN Paper; we explore PyTorch Geometric, one of the most complete GNN frameworks available today. Enjoy the
6/20/2022
14 : 14
📌 Event: Explore the future of scalable AI & more at Ray Summit: August 23-24 in San Francisco!
Must-attend
6/19/2022
12 : 34
🔵⚪️ The Alexa Factor
Weekly news digest curated by the industry insiders
6/17/2022
11 : 34
📌 Event: Discover What It Takes to Scale Innovation & Data Science
Get inspired on June 22
6/17/2022
2 : 19
📌 Event: Unstructured data summit to feature OpenAI, Hugging Face, the creator of UMAP & more…
Join us on June 29th
6/17/2022
2 : 18
⏺➡️⏺ Edge#200: PyWhy is Microsoft’s New Home for Causal Inference
The new organization is hosting DoWhy, the popular causal inference framework
6/14/2022
11 : 24
🧱 Edge#199: Building Blocks and Types of GNN Architectures
In this issue: we discuss building blocks and types of GNN architectures; we explain GraphWorld, which provides insights about how to test GNNs; we explore Spektral, a library for building GNNs in
6/13/2022
12 : 24
📌 Event: A guide to multi-tenancy architectures in ML – webinar by Superwise
Join us on June 28th!
6/12/2022
11 : 14
👾🤖 Simpler, More Efficient Transformers
Weekly news digest curated by the industry insiders
6/11/2022
14 : 14
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6/10/2022
10 : 24
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6/9/2022
13 : 34
〰️ Edge#198: Neptune.ai, Flexible and Expressive Tool for Experiment Tracking and Model Registry
On Thursdays, we do deep dives into one of the freshest research papers or technology frameworks that is worth your attention. Our goal is to keep you up to date with new developments in AI and
6/8/2022
15 : 4
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6/7/2022
11 : 14
🌐 Edge#197: Types of Graph Learning Tasks
In this issue: we overview the types of graph learning tasks; we dive into the original GNN paper; we explore Deep Graph Library, a framework for implementing GNNs. Enjoy the learning! 💡 ML Concept of