There is a growing need for compact artificial intelligence (AI) national security solutions that can be deployed quickly while still being highly accurate. However, machine learning systems are typically pre-trained and cannot adapt to new datasets in real time, limiting their ability to learn and...
Code Issues Pull requests Discussions A data visualization and analytics component, especially well-suited for large and/or streaming datasets. javascript python real-time bi jupyter analytics webassembly data-visualization Updated Dec 23, 2024 C++ pathway...
In cryo-electron microscopy (cryo-EM) data collection, locating a target object is error-prone. Here, we present a machine learning-based approach with a real-time object locator named yoneoLocr using YOLO, a well-known object detection system. Implement
This dataset was introduced and described in [30] and is extensively used for human activity recognition. This dataset was chosen as it is one of the most important and used datasets for human activity recognition based on wearable devices, as also mentioned in [22]. Since it was used in ...
In the last year, I’ve talked to ~30 companies in different industries about their challenges with real-time machine learning. I’ve also worked with quite a few to find the solutions. This post outlines the solutions for (1) online prediction and (2) continual learning, with step-by-st...
Another limitation of many of these studies is a common source of the training, validation, and test datasets. A demonstration of generalizable ML model performance on real world data is necessary prior to the adoption of these tools. In this paper, we developed an ML model for ICH detection...
Having reached this point, We would like to get to know you (this is a project of 11 months of work) and I would like you to tell me in Issues tab or Discussion tab what you think and if you see any utility in https://github.com/Leci37/stocks-prediction-Machine-learning-RealTime-...
Real-time, AI powered apps using LLMs and generative AI need the right data, at the right time, to drive the biggest impact. Real-Time AI from DataStax, built on Apache Cassandra®, built for speed and scale. Try for Free
latency requirements (measured in milliseconds), consistently (think p99) and at scale (up to 100Ks of queries per second and even million of queries per second, and with gigabytes to terabytes sized datasets) while at the same time maintaining a low total cost of ownership and high accuracy...
Foundation for Machine Learning Feature Store Consistent, versioned datasets In-stream inferencing of ML models Operations Complete CI/CD infrastructure Infrastructure as code for all the components of the platform Monitoring and alerts based on the industry best practices ...