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Next Generation Memory and Computation
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A Summer as a Data Scientist
A Summer as a Data Scientist
A retrospective on my summer as a data scientist and how GSI Technology’s summer program breaks the internship status quo.
Braden Riggs
Sep 25
Your Neural Network Will Forget What It’s Learned!
Your Neural Network Will Forget What It’s Learned!
This can be catastrophic, but you can fix it
Hannah Peterson
Sep 10
Two Tools Every Data Scientist Should Use for Their Next ML Project
Two Tools Every Data Scientist Should Use for Their Next ML Project
How Uber’s Manifold and Weights & Biases’ model tracking tool can help evaluate and improve the quality of your next machine learning…
Braden Riggs
Sep 4
Addressing the Memory Constraint of Billion-Scale Similarity Search
Addressing the Memory Constraint of Billion-Scale Similarity Search
We have previously written several blog posts about approximate nearest neighbor (ANN) similarity search, with a particular focus on the…
Pat Lasserre
Aug 31
An Overview of Model Compression Techniques for Deep Learning in Space
An Overview of Model Compression Techniques for Deep Learning in Space
Leveraging data science to optimize at the extreme edge
Hannah Peterson
Aug 31
Featured Work by Our Authors
An Overview of Model Compression Techniques for Deep Learning in Space
An Overview of Model Compression Techniques for Deep Learning in Space
Leveraging data science to optimize at the extreme edge
Hannah Peterson
Aug 31
Addressing the Memory Constraint of Billion-Scale Similarity Search
Addressing the Memory Constraint of Billion-Scale Similarity Search
We have previously written several blog posts about approximate nearest neighbor (ANN) similarity search, with a particular focus on the…
Pat Lasserre
Aug 31
More Writing From Our Team
A Data Scientist’s Guide to Picking an Optimal Approximate Nearest-Neighbor Algorithm
A Data Scientist’s Guide to Picking an Optimal Approximate Nearest-Neighbor Algorithm
Given the vast range of choices for approximate nearest-neighbor search algorithms, how can you be sure you are picking the best one for…
Braden Riggs
Aug 20
Is It Human or Is It Animal? Target Classification With Doppler-Pulse Radar and Neural Networks
Is It Human or Is It Animal? Target Classification With Doppler-Pulse Radar and Neural Networks
The Role of Radio Signals in Distinguishing Between Targets and MAFAT’s Latest Data Science Challenge.
Braden Riggs
Aug 13
Core Concepts in Reinforcement Learning By Example
Core Concepts in Reinforcement Learning By Example
Taking a ride in OpenAI Gym’s MountainCar to explore RL theory
Hannah Peterson
Aug 3
Demystifying Markov Decision Processes
Demystifying Markov Decision Processes
Defining a foundational RL concept with help from OpenAI Gym
Hannah Peterson
Jul 24
ANN Benchmarks: A Data Scientist’s Journey to Billion Scale Performance
ANN Benchmarks: A Data Scientist’s Journey to Billion Scale Performance
The trials and tribulations of attempting to benchmark approximate nearest-neighbor algorithms on a billion scale dataset.
Braden Riggs
Jul 21
The Role of Transformers in Natural Language Processing and Google’s Revolutionary B.E.R.T.
The Role of Transformers in Natural Language Processing and Google’s Revolutionary B.E.R.T.
How B.E.R.T shakes the status quo, and what tools made that possible.
Braden Riggs
Jul 14
A Beginner’s Guide to Segmentation in Satellite Images
A Beginner’s Guide to Segmentation in Satellite Images
Walking through machine learning techniques for image segmentation and applying them to satellite imagery
Hannah Peterson
Jul 8
How to Benchmark ANN Algorithms
How to Benchmark ANN Algorithms
An investigation into the performance of various approximate nearest-neighbor algorithms.
Braden Riggs
Jun 25
Getting Started with Satellite Data Processing
Getting Started with Satellite Data Processing
It’s easier than you think!
Hannah Peterson
Jun 23
High-Performance, Billion-Scale Similarity Search
High-Performance, Billion-Scale Similarity Search
In Part 1 of this series, we introduced the concept of embedding vectors. In Part 2, we discussed how embedding vectors can be used in…
Pat Lasserre
Apr 13
Similarity Search: Finding a Needle in a Haystack
Similarity Search: Finding a Needle in a Haystack
In Part 1 of this series, we presented a few examples of how companies are using word2vec-like models to learn semantic embeddings. In…
Pat Lasserre
Apr 6
Leveraging Word2vec for More than Text
Leveraging Word2vec for More than Text
Recently, I read a few articles that are good examples of a trend where companies are leveraging word2vec-like models to learn embeddings…
Pat Lasserre
Apr 1
Linear Algebra for Graph Convolutional Networks
Linear Algebra for Graph Convolutional Networks
By Elona Erez
Elona Erez
Mar 4
The New Face of Biometrics In The Era of Hacks, Fakes, Bans, and GANs
The New Face of Biometrics In The Era of Hacks, Fakes, Bans, and GANs
I am hosting a series of panels with the same title in the Bay Area. The first panel will be at ODSC West 2019, in Burlingame. Panelists…
George Williams
Oct 24, 2019
Application of AI To Cybersecurity — Part 3
Application of AI To Cybersecurity — Part 3
Code Similarity Search for Vulnerability and Malware Detection
Sabrina Ho
Sep 19, 2019
Classification with Similarity Search
Classification with Similarity Search
Fast and Accurate Radio Wave Classification
Luke Kerbs
Sep 18, 2019
Application of AI To Cybersecurity — Part 2
Application of AI To Cybersecurity — Part 2
Code2Vec Using Graph Embeddings
Sabrina Ho
Sep 6, 2019
Residual Neural Networks in Python
Residual Neural Networks in Python
How I Built a ResNet Radio Wave Classifier with Keras
Luke Kerbs
Sep 5, 2019
Deep Learning for Radio Waves
Deep Learning for Radio Waves
Using Residual Neural Networks for Signal Classification
Luke Kerbs
Sep 5, 2019
Application of AI To Cybersecurity — Part 1
Application of AI To Cybersecurity — Part 1
Introduction to Basic Concepts
Sabrina Ho
Aug 12, 2019
An Overview of Signal Classification
An Overview of Signal Classification
From Fourier Transforms to Deep Neural Networks
Luke Kerbs
Aug 6, 2019
Tanimoto VS. Mol2vec
Tanimoto VS. Mol2vec
When Molecules Become Vectors
Sabrina Ho
Jul 30, 2019
The Weizmann Institute of Science Reduces Molecular Search Time from Minutes to Seconds — a Case…
The Weizmann Institute of Science Reduces Molecular Search Time from Minutes to Seconds — a Case…
The Nancy and Stephen Grand Israel National Center for Personalized Medicine (G-INCPM) at the Weizmann Institute of Science is always…
Pat Lasserre
Jul 17, 2019
RDKit for Newbies
RDKit for Newbies
When Chemistry Meets Data Science
Sabrina Ho
Jul 16, 2019
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