A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the…Continue
Added by Sergey Lukyanchikov on July 16, 2021 at 4:00am — No Comments
MLOps, AIOps, DataOps, ModelOps, and even DLOps. Are these buzzwords hitting your newsfeed? Yes or no, it is high time to get tuned for the latest updates in AI-powered business practices. Machine Learning Model Operationalization Management (MLOps) is a way to eliminate…Continue
Added by Oleksandr Tyron on April 13, 2021 at 2:30am — No Comments
What is Distributed Artificial Intelligence (DAI)?
Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see…Continue
Added by Sergey Lukyanchikov on April 3, 2021 at 3:00am — No Comments
Rationalizing the effort of our intensive care staff by predicting patient condition indicators in real time is a challenge because of an impressive number of externally imposed and internally unavoidable restrictions. Patient data privacy requirements, variety of types and lack of standardization within one type of equipment, limited availability of “pure” examples of this or that patient condition patterns – just to name a few complexity factors.
Computational approaches to model…Continue
Added by Sergey Lukyanchikov on December 14, 2020 at 3:00am — No Comments
Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…Continue
Added by Sharmistha Chatterjee on October 17, 2020 at 10:30pm — No Comments
Author: Sergey Lukyanchikov
Challenges of real-time AI/ML computations
We will start from the examples that we faced as Data Science practice at InterSystems:
Added by Sergey Lukyanchikov on September 20, 2020 at 12:30pm — No Comments
ML Toolkit for InterSystems IRIS, besides Python/R/Julia, allows orchestrating cloud-based advanced analytics services, such as Microsoft Azure Data Factory and Machine Learning:…Continue
Added by Sergey Lukyanchikov on August 18, 2020 at 12:13am — No Comments
Use of SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN in Retail with BlockChain
This blog highlights different ML algorithms used in blockchain transactions with a special emphasis on bitcoins in retail payments. This blog is structured as follows:
Added by Sharmistha Chatterjee on July 26, 2020 at 7:22am — No Comments
IRIS ML Toolkit adds the power of IntegratedML to further extend convergent scenario coverage into the area of automated feature and model type/parameter selection. The previous "manual" pipelines now collaborate within the same analytic process with "auto" pipelines that are based on automation frameworks, such as H2O.…Continue
Added by Sergey Lukyanchikov on February 14, 2020 at 1:00pm — No Comments
Choose your format to work on the same analytical process among graphical composer (IRIS BPL), notebook (Jupyter) or IDE (IRIS Studio/Atelier):
This platform-centric approach to developing analytical tools and solutions aiming to maximize the advantages of combining multiple analytic toolsets (AI/ML, BI, SQL, Quantum, IoT, MapReduce, NLP,…Continue
Added by Sergey Lukyanchikov on January 19, 2020 at 9:30pm — No Comments
Larry Page's "PageRank" Graph Algorithm as applied to Google search changed the digital world forever. Learn more in this Free eBook: Graph Algorithms: Practical Examples in Apache Spark and Neo4j, By Mark Needham & Amy E. Hodler, Published by O'Reilly Media https://neo4j.com/graph-algorithms-book/
Watch: Improve ML Predictions using Graph Analytics…Continue
Added by David Vessie on May 16, 2019 at 2:52pm — No Comments
Emerging cloud applications like machine learning, AI and big data analytics require high performance computing systems that can sustain the increased amount of data processing without consuming excessive power. Towards this end, many cloud operators have started adopting heterogeneous infrastructures deploying hardware accelerators, like FPGAs, to increase the performance of computational intensive tasks. However, most hardware accelerators lack…Continue
The world is rapidly changing thanks to digital technologies.
Business are transforming along wit it.
Join Ronald van Loon on his journey through the intelligent world, and have a deeper look into technological development that are shaping a world and transforming business.
Added by Ronald van Loon on February 6, 2018 at 9:30pm — No Comments
The role of Artificial Intelligence (AI) devices in augmenting humans and in achieving tasks that were previously considered unachievable is just amazing. With the world progressing towards an age of unlimited innovations and unhindered progress, we can expect that AI will have a greater role in actually serving us for the…Continue
Added by Ronald van Loon on December 31, 2017 at 10:30pm — No Comments