The MyCaffe AI Platform, SignalPop AI Designer and new SignalPop Trading Studio all release as 1.+ versions! All of our products use the MyCaffe AI Platform to provide fast AI inferencing solutions on low-cost NVIDIA GPUs, some of these GPUs can be purchased for under $250 yet still run AI inferencing loads very quickly! For …
Lots of Upgrades! Visual Studio 2022, .NET 4.8, and CUDA 11.6 with cuDNN 8.3.2!
In our latest release, version 0.11.6.86, we have made a lot of upgrades including now supporting both Windows 10 and Windows 11 with Visual Studio 2022 and the latest CUDA 11.6 and cuDNN 8.3.2 from NVIDIA. New Features The following new features have been added to this release. CUDA 11.6.0.511/cuDNN 8.3.2.44/nvapi 510/driver 511.65 Windows 11 …
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Using MyCaffe to mine the EDGAR Database
The US Securities and Exchange Commission’s EDGAR database contains the public filings of public US companies, including quarterly (10Q) and annual (10K) filings as well as 13F filings that list the positions held by investment-based companies at the time of each filing. Using the MyCaffe AI Platform to analyze each of these filings, we were …
Improved Sequence-to-Sequence with Attention added to SignalPop AI Designer
In our latest release, version 0.11.4.60, we have improved and expanded our support for Sequence-to-Sequence[1] (Seq2Seq) models with Attention[2][3], and do so with the newly released CUDA 11.4.2/cuDNN 8.2.4 from NVIDIA. Using its drag-n-drop, visual editor, the SignalPop AI Designer now directly supports building Seq2Seq models like the one shown above. A new TEXT_DATA input layer …
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Sequence-to-Sequence with Attention
In our latest release, version 0.11.3.25, we have added support for Sequence-to-Sequence[1] (Seq2Seq) models with Attention[2][3], and do so with the newly released CUDA 11.3/cuDNN 8.2 from NVIDIA. Seq2Seq models solve many difficult problems such as language translation, chat-bots, search and time-series prediction. The Seq2Seq model is made up of an Encoder (left side) that is …
Debugging complex AI Solutions
In our latest release, version 0.11.2.9, we have added a new powerful debugging technique that visually shows the areas within an image that impact the firing of each label, and do so with the newly released CUDA 11.2/cuDNN 8.1 from NVIDIA. The example above shows the areas within the CIFAR-10 [1] dataset images that actually …
Battle of the Bits – FPGA vs. GPU
Over the past ten years, Graphic Processing Units (GPUs) have dominated the hardware solution space for artificial intelligence. Currently, these GPU’s are a steady staple in just about every Datacenter offering. NVIDIA and AMD, two of the largest GPU manufacturers, have ridden this wave well and increased their profits and stock prices dramatically. However, there …
Sometimes finding the pattern IS the challenge!
In our latest release, version 0.11.1.132, we use Single-Shot Multi-Box Detection (SSD) as described in [1] to find complex patterns in high frequency financial data streams and do so with CUDA 11.1.1 and cuDNN 8.0.5 recently released by NVIDIA. Starting with less than 100 data items, we were able to build a training data set …
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Object Detection with Single-Shot Multi-Box now supported using CUDA 11.1 and cuDNN 8.0.4!
In our latest release, version 0.11.1.56, we have added support for object detection using Single-Shot Multi-Box Detection (SSD) as described in [1] and do so with the newly released CUDA 11.1 and cuDNN 8.0.4! With SSD, one can easily and quickly detect multiple objects within images as shown above, and/or video frames as shown below. …
Distributed AI now supported using CUDA 11.0.3 and cuDNN 8.0.3!
In our latest release, version 0.11.0.188, we now support distributed AI via the SignalPop Universal Miner, and do so with the recent CUDA 11.0.3 and cuDNN 8.0.3 release! The SignalPop AI Designer now allows scheduling AI projects which are then loaded and trained by a separate instance of the SignalPop Universal Miner running on a …
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