PTC has been ranked as a top vendor for IIoT solutions in the SPARK Matrix™ ranking of IIoT vendors. Review the ranking! The future of the Industrial Internet of Things (IIoT) Frequently asked questions What is the difference between IoT and IIoT?
Generative AI:Leverage Intel® AMX to accelerate the performance of deep learning training and inference workloads for generative AI use cases such as content generation, including images, videos, and audio, language translation, data augmentation, and summarization. For example, a performance evaluatio...
Data collectionin machine learning refers to the process of collecting data from various sources for the purpose to develop machine learning models. This is the initial step in the machine learning pipeline. To train properly, machine learning algorithms require huge datasets. Data might come from a...
The convolutional layer is the fundamental portion of a CNN and is where the majority of computations happen. This layer uses a filter or kernel -- a small matrix of weights -- to move across the receptive field of an input image to detect the presence of specific features. The process be...
The camera matrix does not account for lens distortion because an ideal pinhole camera does not have a lens. To accurately represent a real camera, the camera model includes the radial and tangential lens distortion. Radial Distortion Radial distortion occurs when light rays bend more near the edg...
Here's a fun project attempting to explain what exactly is happening under the hood for some counter-intuitive snippets and lesser-known features in Python.While some of the examples you see below may not be WTFs in the truest sense, but they'll reveal some of the interesting parts of ...
Recurrent neural networks may overemphasize the importance of inputs due to the exploding gradient problem, or they may undervalue inputs due to the vanishing gradient problem. Both scenarios impact RNNs’ accuracy and ability to learn. What is the difference between CNN and RNN?
2. What is the feature of the UST project? A. It changes spoken languages to written forms. B. It attracts wider attention to written languages in translation. C. It adds 40% of spoken languages into translation technology. D. It enables real-time speech-to-speech translation across all ...
Transformer modelssuch asrelational databasesgeneratequery, keyandvalue vectorsfor each part of a data sequence,and use them to compute attention weights through a series of matrix multiplications. Relational databases are designed to simplify the storage and retrieval of relevant data: they assign a ...
Aconfusion matrixis a summary table showing true positives, false positives, true negatives, and false negatives. 3. Mean Squared Error TheMean squared errorcalculates the average squared difference between predicted and actual values. It’s computed by summing these squared differences and dividing by...