Category Archives: Allgemein

At the Machine Learning in Healthcare Summit in July 2021 there was a fascinating presentation ‘ AI in Digital Pathology’ given by Dr. Anne Martel https://lnkd.in/dSygrNR on using machine learning for diagnosing cancer from medical images. It was a continuation of what I saw in November 2018 at a ML conference in Toronto, Canada. If you think thatContinue reading “AI for Digital Pathology”

doob Metaverses offer virtual interactive 3D meetings in a multitude of settings for remote users attending from everywhere. The seamless high-end experience is created with the NICE DCV high-end remote desktop technology. Listen in to our interview about the unique NICE DCV use case with doob CEO and Founder Vladimir Puhalac conducted with Terry FisherContinue reading “How NICE DCV enables doob Metaverses”

The latest information is at this GitHub repo. The lead for this project is alan.heirich@gmail.com and the end user platform in his intent is a TV – side Raspberry PI implementing a model to do english – spanish translation on the fly.  The critical part is model training on a large VCTK corpus provided byContinue reading “Natural Language Processing using Nvidia NeMo”

Surrogate models consist of a Machine Learning model such as a deep neural network that is trained on data previously calculated by a numerical simulation program. This could be a Computational Fluid Dynamics or a FEM application. Assuming the deep neural network is able to generalize well on a broad range of practical cases, thenContinue reading “Surrogate Models integrating an HPC Solver and a Machine Learning Component”

I was at a very informative AWS conference https://lnkd.in/dVy46QU and some of the content I took away, on AWS services, options, Machine Learning use cases and HPC-in-the-cloud is reported in this linkedin post: https://www.linkedin.com/feed/update/urn:li:activity:6809762938623152128

I believe it is worth spending some effort to sharpen my programming skills independently of any application.  A good path is provided by toptal and by Codility : the challenges are mathematical problems that can be programmed in several languages, and I choose Python and numpy. What follows is the one that kept me busyContinue reading “Solving with Python and numpy”

This is IMO THE killer application for ML; the blog elaborates on my efforts to try to understand some of the ML algorithms employed, such as Variational Auto Encoders, Neural Network approximation of Density Functional Theory, Deep Learning and more. If this appeals to you read further Updated on May 21 2021

It is my pleasure to announce the first new member of our team since we went online: Mangesh Thorat. He brings comprehensive skills to HPCsquAIre, especially in data centre management. Please have a look at his profile on the team page.

In addition, you may want to check our new linkedin group

here is the link to my linkedin page https://www.linkedin.com/pulse/siemens-ai-manufacturing-joseph-pareti/?published=tManufcturing

here is the link to my linkedin page https://www.linkedin.com/pulse/using-artificial-intelligence-retail-industry-case-study-pareti/

Olivier Schreiber has been a High Performance Computing Applications Engineer atHP, SGI and HPE since 2001 and contracted at SpaceX, Virgin Orbit and Google X.Before that, he was at Boeing North American and McDonnell Douglasas a Principal Engineer/Scientist/Computing Specialist.Earlier, he was a Nastran developer at The MacNeal-Schwendler Corporation.Olivier holds an MS and PhD in AerospaceContinue reading “Biography”

NI SP offers professional support for todays 3D VDI and HPC environments. — Weiterlesen http://www.ni-sp.com/

Verticals: CSM CFD Wheather Molecular Dynamics Life Sciences Oil & Gas Chemical Engineering CEM (Computational Electromagnetics) Electronic design automation (EDA) Financials Services Industry (FSI) Data Science Databases Trends: HPC on premise HPC on cloud DL Quantum computing https://www.ibm.com/quantum-computing/developers/ Architectures: FPGA, ARM, X86

1)https://www.nextplatform.com/ 2)https://www.hpcwire.com/ 3)http://primeurmagazine.com/contentsweekly20201109.htmlHenry has a 4 week free trial–Could could round-robin. 4)Good source of information for HPE for example:https://www.thelayoff.com/hp-enterprise 5)https://www.deeplearning.ai/thebatch/ 6)https://www.datanami.com/another newsletter that might be interesting about AI, data analytics, Big datait‘s from Tabor Communications where HPCwire and also EnterpriseAI come from 7)https://www.enterpriseai.news/ 8)https://www.theregister.com/ 9)https://www.techradar.com/news 10)https://wikibon.com/ 11)https://insidehpc.com/ 12)http://g2minc.com/ 13)https://openhpc.community/news/

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http://www.linkedin.com/posts/activity-6731664241687883776-829d