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OpenVINO™ Toolkit: multiplatform computer vision solutions
The OpenVINO toolkit is a free download for developers and data scientists to fast-track development of high-performance computer vision and deep learning into vision applications. The kit enables deep learning on hardware accelerators and easy heterogeneous execution across multiple types of Intel® platforms. This includes the Intel Deep Learning Deployment Toolkit with a model optimizer and inference engine, along with optimized computer vision libraries and functions for OpenCV* and OpenVX*.
opencv  imageprocessing  vision  embedded  deeplearning  ai  artificialintelligence 
7 hours ago by cyberchucktx
Ultra96 Skin Cancer AI -
According to the Skin Cancer Foundation, half of the population in United States are diagnosed with some form of skin cancer by age 65. The survival rate for early detection is almost 98%, but it falls to 62% when the cancer reaches the lymph node and 18% when it metastasizes to distance organs. With Skin Cancer AI, we want to use power of artificial intelligence to provide early detection as widely as available.
medical  intel  ai  artificialintelligence  cancer  diagnostic 
7 hours ago by cyberchucktx
ImageAI: python library for Computer Vision projects
A python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. Built with simplicity in mind, ImageAI supports a list of state-of-the-art Machine Learning algorithms for image prediction, custom image prediction, object detection, video detection, video object tracking and image predictions trainings. ImageAI currently supports image prediction and training using 4 different Machine Learning algorithms trained on the ImageNet-1000 dataset. ImageAI also supports object detection, video detection and object tracking using RetinaNet, YOLOv3 and TinyYOLOv3 trained on COCO dataset.
python  vision  imageprocessing  artificialintelligence  classification  deeplearning 
yesterday by cyberchucktx
IMAGINE a world in which even a FRACTION of the money invested in research was poured into…
ArtificialIntelligence  from twitter_favs
yesterday by nigeljames
Practical AI
A practical approach to learning machine learning with Python and notebooks.
python  machinelearning  artificialintelligence  notebook 
3 days ago by garrettc
Artificial Intelligence | ScienceSquared
Sure, computers can do sums. But can they think like a mathematician? In Prague Josef Urban wants to make computers prove theorems
TheoremProvers  artificialintelligence 
4 days ago by researchknowledge
[1609.03543] Logical Induction
We present a computable algorithm that assigns probabilities to every logical statement in a given formal language, and refines those probabilities over time. For instance, if the language is Peano arithmetic, it assigns probabilities to all arithmetical statements, including claims about the twin prime conjecture, the outputs of long-running computations, and its own probabilities. We show that our algorithm, an instance of what we call a logical inductor, satisfies a number of intuitive desiderata, including: (1) it learns to predict patterns of truth and falsehood in logical statements, often long before having the resources to evaluate the statements, so long as the patterns can be written down in polynomial time; (2) it learns to use appropriate statistical summaries to predict sequences of statements whose truth values appear pseudorandom; and (3) it learns to have accurate beliefs about its own current beliefs, in a manner that avoids the standard paradoxes of self-reference.
4 days ago by researchknowledge

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