| Podcast |
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Predictions for Computer Vision & Image Processing with GSI Technology
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| Articles |
| Breakthrough in Data Processing Finally Delivers on the Promise of IoT (Electronic Design)–NEW! |
| Delivering on the Promise of IoT (TechTarget IoT Agenda) |
| Converging Technologies Enable Billion-Scale Elasticsearch |
| 13 Experts Share Advice on Network Monitoring in 2021 |
| DPU maker claims 100x speedup vs. Xeon for big data similarity search |
| Associative Processing Unit Focuses on ID Tasks |
| Why Space Needs Artificial Intelligence |
| Radiation Tolerance Meets Commercial Space |
| Review of 2017 Energy Consequences of Information Conference |
| Application Brief |
| GSI’s Synthetic Aperture Radar (SAR) |
| GSI’s Elasticsearch k-NN Plugin |
| Sales Briefs |
| GSI Technology Takes On DSP With Deep Learning |
Molecular Search with the Gemini Associative Processing Unit |
Facial Recognition with the Gemini Associative Processing Unit |
| Whitepapers |
| Hamming Space Locality Preserving Neural Hashing for Similarity Search |
The Linley Group: In-Memory Acceleration for Big Data |
Gemini APU: Enabling High Performance Billion-Scale Similarity Search |
Introducing a Cheminformatics Similarity Search Solution |
| Introducing a Facial Recognition Solution |
In-Place Associative Computing: A New Concept in Processor Design |
In-Place Associative Computing: An Introduction to the APU Software |
In-Place Computing: Scaling to 1M Similarity Searches per Second |
| Blogs |
| The Role of Transformers in Natural Language Processing and Google’s Revolutionary B.E.R.T. |
A Beginner’s Guide to Segmentation in Satellite Images |
How to Benchmark ANN Algorithms |
Getting Started with Satellite Data Processing |
| High-Performance, Billion-Scale Similarity Search |
Similarity Search: Finding A Needle In A Haystack |
Leveraging Word2vec For More Than Text |
Linear Algebra For Graph Convolutional Networks |
| The New Face of Biometrics In the Era of Hacks, Fakes, Bans, and GANs |
Application Of AI To Cybersecurity – Part 3 |
Classification with Similarity Search: Fast and Accurate Radio Wave Classification |
Application Of AI To Cybersecurity – Part 2 |
| Radio Wave Classifier In Python: How I Built A ResNet Radio Wave Classifier With Keras |
Deep Learning For Radio Waves: Using Residual Neural Networks For Signal Classification |
Application Of AI To Cybersecurity – Part 1 Introduction To Basic Concepts |
An Overview Of Signal Classification: From Fourier Transforms To Deep Neural Networks |
| Tanimoto vs. Mol2vec |
The Weizmann Institute of Science Reduces Molecular Search Time from Minutes to Milliseconds – A Case Study |
RDKit for Newbies |
My First Adventures in Similarity Search |
| The APU: Novel Hardware For Accelerated Similarity Search |
Fast Visual Search in Hamming Space |
Hardware Accelerated Search For Drug Discovery: Molecule Similarity in Milliseconds |
Integrating Textual and Visual Information into a Powerful Visual Search Engine |
| Molecular Similarity Search: A Simple but Powerful Drug Discovery Tool |
Seven Tips for Visual Search at Scale |
Visualizing Embeddings Using t-SNE |
Getting Started with Clarifai’s SDK |
| Wayfair’s Visual Search and the Latest in Similarity Search Research |
ML in Visual Search: Part I |
The Visual Similarity Search Revolution |
Visual Search: The Future of Search |
| Case Study |
| Weizmann Institute of Science Drives Drug Discovery with Ultra-Fast Molecular Similarity Search |
| Presentations |
| An Associative Processing Structure Challenges von Neumann Architecture for Latency and Energy Efficiency–Linley Conference 2020 |
Associative Based Similarity Search
for Few Shot Training |
| Stanford EE Computer Systems Colloquium |
| In-Place Deep Learning |
| Interviews |
Dr. Avidan Akerib Interview at
Global Predictive Analytics Conference |
In-Place Associative Computing Interview
with RE*WORK |
