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Machine Learning and AI
Just for Fun
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Word embeddings in 2020. Review with code examples
In this article we will study word embeddings — digital representation of words suitable for processing by machine learning algorithms.
Machine Learning and AI shared a link
Are we in an AI overhang? - LessWrong 2.0
Over on Developmental Stages of GPTs, orthonormal mentions it at least reduces the chance of a hardware overhang.An overhang is when you have had the ability to build transformative AI for
quite some t...
quite some t...
Machine Learning and AI shared a link
Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs
MIDAS is a new approach to anomaly detection which uncovers microcluster anomalies or sudden groups of suspiciously similar edges in graphs.
Machine Learning and AI shared a link
AI Creates Proteins that Rival Those in Nature | Drug Discovery And Development
Proteins are crucial for the function of cells in living organisms. Now, researchers have developed a machine leaning-led process capable of designing prot | Drug Discovery And Development
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Microsoft & MIT Apply Adversarially Robust Models for Better Transfer Learning
Despite being less accurate on ImageNet, adversarially robust neural networks can match or improve their standard counterparts’ transfer performance.
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Machine Learning Helps Robot Swarms Coordinate
Robots in a swarm learn on the fly how to move through spaces without bumping into one another
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Machine Learning for a Better Developer Experience
We’ve developed a hundred line Python code where a search for the five most semantically similar items to any user supplied search term against a body of 100, 1k, and 10k documents takes around 5ms
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Introduction to Matrices and Matrix Arithmetic for Machine Learning
Matrices are a foundational element of linear algebra. Matrices are used throughout the field of machine learning in the description of algorithms and processes such as the input data variable (X) whe...
Powerful AI Can Now Be Trained on a Single Computer
New machine learning training approach could help under-resourced academic labs catch up with big tech
