Graiphic unveils SOTA: a revolutionary AI ecosystem for LabVIEW and deep learning. Experience unmatched graphical tools, seamless integration, ONNX Runtime support, and powerful toolkits. Join the open beta and explore the future of AI innovation!
News & Insights
Graiphic Reaches a Major Milestone in European Deep Learning Excellence
Graiphic has reached the final stage of the prestigious EIC Accelerator, showcasing our groundbreaking SOTA software suite. With a vision to lead in Deep Learning innovation, we are poised to become a key European tech champion.
Analyzing Electron Microscopy with YOLO 11 in LabVIEW: A Promising Advancement in Automated Segmentation
YOLO v11, the latest advancement in computer vision models, is now available in our LabVIEW Deep Learning suite. YOLO v11 excels in tasks such as real-time object detection and image recognition.
Graiphic Submits Application to EIC Accelerator to Drive AI Innovation with SOTA
Weβve submitted our full proposal to the EIC Accelerator to bring SOTA, our groundbreaking AI platform, to market. Deployment starts in late October, positioning Graiphic as a leader in European AI innovation.
The Importance of Reinforcement Learning: A Game Changer for Industry, Research, and Academia
Reinforcement Learning is revolutionizing industries and research by enabling complex problem-solving through environment-based learning, as showcased in both real-world applications like SpaceX rockets and tools such as SOTA’s Deep Learning Toolkit for LabVIEW.
Major Evolution of Our AI Ecosystem: Announcing the Upcoming Release of Our Unified Toolkit in October 2024
Discover the next generation of our AI solutions with the launch of our fully rebranded and enhanced unified toolkit, coming in October 2024.
Welcome Llama 3.1 on LabVIEW
Llama 3.1 Small language model is now available on our LabVIEW Deep Learning suite. Llama 3.1 excels in tasks like natural language understanding, sentiment analysis, and generating context-aware responses.
Reinforcement learning on LabVIEW
This video may seem simple, but it represents the culmination of over three years of intense development, creating a groundbreaking deep learning framework entirely in LabVIEW, capable of real-time performance without acceleration, with the ambition to revolutionize AI as CATIA did for the aerospace industry.
Welcome Florence-2 on LabVIEW
Florence-2 Visual language model is now available on our LabVIEW Deep Learning suite. Florence-2 excels in tasks like image captioning and object detection with a prompt-based architecture.
Welcome Computer Vision Model YOLO v8 oriented bounding box on LabVIEW
YOLO v8 OBB is now available in our LabVIEW Deep Learning suite. YOLO v8 OBB is specifically optimized for oriented bounding box detection.
VIT face expression on LabVIEW
vit-face-expression model is now available on our LabVIEW Deep Learning suite. vit-face-expression provides accurate and efficient facial emotion recognition, enhancing the capabilities of robotics, AI, and automation applications.
Welcome Computer Vision Model YOLO v10 on LabVIEW
YOLO v10, the latest advancement in computer vision models, is now available in our LabVIEW Deep Learning suite. YOLO v10 excels in tasks such as real-time object detection and image recognition.
Integration of LLaMA 3 into LabVIEW: A New Era of Robotics, AI, and Automation
Integrating LLaMA 3 into LabVIEW revolutionizes robotics, AI, and automation by leveraging the advanced capabilities of Meta’s latest language model through the LabVIEW Deep Learning Module
Welcome to SOTA: The Next Generation of AI Development Toolkits
We are thrilled to introduce SOTA, our next-generation suite of LabVIEW tools and toolkits designed to replace HAIBAL, TIGR, PERRINE, and GIM.
DarknetYOLO package add-on
This guide provides a step-by-step installation of the DarknetYOLO package using GIM (Graphic Installation Management software).
Setup Darknet Environment
This page offers comprehensive instructions on how to install Darknet Environment before train and customize a YOLO Darknet model.
Training Darknet YOLO Procedure
This page offers comprehensive instructions on how to train and customize a YOLO Darknet model.
TIGR1.3.1 release notes
TIGR Vision is a computer vision toolkit for LabVIEW, designed to simplify the incorporation of deep learning for powerful and reliable applications.
Building Executables from Graiphic Toolkits with Builder Tool
This guide demonstrates how to create executables (2nd method – Builder tool) from HAIBAL Deep Learning, TIGR Vision, and PERRINE Tensor Processing toolkits in LabVIEW.
HAIBAL 1.5.0 release notes
Explore the latest HAIBAL update, enhancing your Deep Learning projects in LabVIEW with new features
Building Executables from Graiphic Toolkits using Post Build File method
This guide demonstrates how to create executables from HAIBAL Deep Learning, TIGR Vision, and PERRINE Tensor Processing toolkits in LabVIEW. It simplifies deploying AI, computer vision, and tensor computation projects by converting them into standalone applications. Ideal for developers aiming to distribute LabVIEW-based solutions efficiently.
Our wishes for 2024
LabVIEW NXG reborn, LabVIEW Copilot LLM of 55 Bilions parameters, LabVIEW Jetson Nano, discover the ambitious Graiphic roadmap for 2024
TIGR1.3 release notes
Discover the latest functionalities including AutoAdjustContrast, Hue, Saturation, and more. Update your toolkit to enjoy these enhancements and refer to the documentation for detailed instructions.
TIGR1.2.5 release notes
Explore the latest toolkit enhancements including palette updates, new functionality for Regions of Interest (ROIs), and improved editing features.
TIGR1.2 release notes
Explore the latest enhancements, including palette updates and improved ROI functionalities, alongside new functions like Split and Segmentation Mask.
TIGR1.1.1 release notes
Discover the new features, including Weighted Sum, ColorImage To U8C3 Array, Segmentation Mask, Segmentation Masks, and PictureToImage.
PERRINE 1.1 release notes
All release notes are available at this page . Documentation for all features is availableΒ hereDownload link Release...
PERRINE 1.0 release notes
All release notes are available at this page .Download link Release NotesV1.0 Date of releaseΒ 15 September 2023 Tensor...
Announcing the release of the LabVIEW Acceleration Toolkit – Perrine
We're excited to announce the upcoming release of the LabVIEW Perrine accelerator toolkit. To make HAIBAL deep...
A Clash of Vision: Unleashing the Power of Image Processing Libraries – OpenCV, NI Vision, TIGR, and Matlab
Introduction In the fast-paced world of image processing and computer vision, a compelling newcomer is set to...
TIGR1.1.0 release notes
All release notes are available at this page .Download link Release NotesV1.1.0 Date of releaseΒ 26 July 2023 Features...
Deep Learning Framework Showdown: Unraveling the Key Distinctions between Keras, TensorFlow, HAIBAL and PyTorch
IntroductionIn the dynamic world of deep learning, Keras, TensorFlow, PyTorch, and HAIBAL stand as prominent...
Graiphic is now in partnership with NVIDIA
π Our company,Β Graiphic, has always believed that πππππππ is the ultimate technological language of the future....
HAIBAL 1.3.6 release notes
All release notes are available at this page .Download link Release NotesV1.3.6 Date of releaseΒ July 2023 Features...
HAIBAL 1.3.5 release notes
All release notes are available at this page .Download link Release NotesV1.3.5 Date of releaseΒ 28 april 2023 Features...
TIGR1.0.0 release notes
All release notes are available at this page .Download link Release NotesV1.0.0 Date of releaseΒ 27 April 2023 Features...
HAIBAL 1.2.1 release notes
All release notes are available at this page .Download link Release NotesV1.2.1 Date of releaseΒ 02 february 2023...
HAIBAL 1.2.0 release notes
All release notes are available at this page .Download link Release NotesV1.2.0 Date of releaseΒ 22 january 2022...
HAIBAL 1.1.0 release notes
All release notes are available at this page .Download link Release NotesV1.1.0 Date of releaseΒ 11 january 2022...
HAIBAL V1.0.0 release notes
All release notes are available at this page . Release NotesV1.0.0 Date of releaseΒ 12 december 2022 FeaturesLayers...
The Cuda integration v2
A first version of the Cuda integration is now used on HAIBAL to allow you to get the best out of your NVIDIA graphics...
Status update #2 | CUDA and OneDNN
HAIBAL deep learning library for LabVIEW is still under devellopment. Our team worked last week on the integration of...
Status update #1 | Architecture
As we have recently decided to better communicate on the HAIBAL project by making a weekly status, I will start this...
LabVIEW Deep Learning Library Architecture
The LabVIEW HAIBAL software library includes a complete basic development kit to seamlessly create accelerated deep...
Example on the MNIST
BASIC NUMBER RECOGNITION EXEMPLE This example, implemented natively in the HAIBAL library, aims to understand how to...
Official Release date
RELEASE DATE As we have finished the functional part of the library and are starting to work on the optimization part...
Importing a Tiny YoloV3 Model from Keras
A LITTLE HISTORY In 2016Β Redmon, Divvala, Girschick and FarhadiΒ revolutionized object detection with a paper...
LabVIEW Deep Learning Library
By persevering, we can achieve anything. Itβs hot but we are getting there. 8 months ago,Β PyTorchΒ (Meta)...
Importing a VGG 16 model from Keras
A LITTLE HISTORY VGGΒ is a convolutional neural network proposed by K. Simonyan and A. Zisserman from Oxford University...
Coding of deep learning layers in labview
All layer are now coded in native LabVIEW. First test of importe HDF5 from Keras Tensorflow and a graph generator...
Making our first convolution in LabVIEW
After testing our first full connected neural network,Β we are now able to do our first 2D convolution in LabVIEW.Β Now...
Launch of HAIBALβs development
Every journey has a beginning and let's bet that we will succeed in developing a complete deep learning library that...