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SIGGRAPH 2022 Levels Up Immersive and Transformative Technology With Exciting Demonstrations and Presentations in Gaming Through Real-Time Live!, Appy Hour, and Courses Programs

/PRNewswire/ SIGGRAPH 2022 is showcasing the latest gaming innovations with the Appy Hour, Courses, and Real-Time Live! programs. With more than 100. ....

United States , British Columbia , Felix Harvey , Rosita Cocina , Matthias Trapp , Michael Shelley , Alastair Macleod , Estela Antunez , Daniel Gagiu , Marco Foco , Chris Redmann , Eben Peck , Christoph Schied , Dan Rosen , Bay Raitt , Tamar Shinar , Sumit Shekhar , Boris Oreshkin , Sebastian Pasewaldt , Isaac Deutsch , Hugh Malan , Natalya Tatarchuk , Yovel Schwartz , Alex Evans , Florent Bocquelet , Paulo Majano ,

SIGGRAPH 2022 Levels Up Immersive and Transformative Technology With Exciting Demonstrations and Presentations in Gaming Through Real-Time Live!, Appy Hour, and Courses Programs

/PRNewswire/ SIGGRAPH 2022 is showcasing the latest gaming innovations with the Appy Hour, Courses, and Real-Time Live! programs. With more than 100. ....

United States , British Columbia , Felix Harvey , Rosita Cocina , Matthias Trapp , Michael Shelley , Alastair Macleod , Estela Antunez , Daniel Gagiu , Marco Foco , Chris Redmann , Eben Peck , Christoph Schied , Dan Rosen , Bay Raitt , Tamar Shinar , Sumit Shekhar , Boris Oreshkin , Sebastian Pasewaldt , Isaac Deutsch , Hugh Malan , Natalya Tatarchuk , Yovel Schwartz , Alex Evans , Florent Bocquelet , Paulo Majano ,

From Machine Learning model building to Model Deployment

A step-by-step guide for building and deploying an end-to-end Machine Learning Pipeline using PyCaret and FastAPI in Python A step-by-step guide for building an end-to-end Machine Learning Pipeline… ....

From Machine Learning , Machine Learning Pipeline ,

Exploring Rocks on Mars using Laser-Induced Breakdown Spectroscopy

Image Credit: Vadim Sadovski/Shutterstock.com
Laser-induced breakdown spectroscopy (LIBS) instruments built into the latest generation of Martian rovers will provide planetary scientists with a wealth of new data on Martian geology – but to learn from it, they will need to overcome a critical challenge with their machine learning models.
Because scientists do not have real Martian rock samples to work with in the lab, there is no training data to calibrate the machine learning models usually used to analyze LIBS spectra. Though scientists have improvised make-shift training sets using Earth rocks, results are still skewed by ‘physical matrix effects’. ....

Andrew Messiosmar , Vadim Sadovski Shutterstock , Shanghai Jiao Tong University , School Of Physics , Matrix Effects , Mars Sample Return , From Machine Learning , Transfer Learning , Laser Induced Breakdown Spectroscopy , Rock Analysis , ஷாங்காய் ஜியாவோ நாக்கு பல்கலைக்கழகம் , பள்ளி ஆஃப் இயற்பியல் , அணி விளைவுகள் , செவ்வாய் கிரகம் மாதிரி திரும்ப , இருந்து இயந்திரம் கற்றல் , பரிமாற்றம் கற்றல் , பாறை பகுப்பாய்வு ,