2014 3D Machine Learning 
CIO
AUGUST 28, 2023
Operating by what it calls its 3D approach – for diversification, digitization, and decarbonization – along with the 3Ms – for measure, monitor and mitigate – the company is justifiably proud of its devotion to operational excellence, health, safety, quality, and environmental management.
AWS Machine Learning - AI
JUNE 24, 2024
Krikey AI is revolutionizing the world of 3D animation with their innovative platform that allows anyone to generate high-quality 3D animations using just text or video inputs, without needing any prior animation experience. The following diagram illustrates the SageMaker Ground Truth architecture.
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O'Reilly Media - Data
MARCH 22, 2018
Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. Manifold Learning : t-Distributed Stochastic Neighbor Embedding ( t-SNE ) (see Figure 3).
Apiumhub
MAY 18, 2021
Last May 12th they interviewed our Lead Data Scientist at Apiumhub , Gema Parreño, who reviewed her professional career and her connection with artificial intelligence, machine learning, video games and data science projects. Irruption into technology. Her career began in innovation, landscaping and urban planning competitions.
CIO
JULY 11, 2023
When the first Innovation Awards was launched in 2014, the judges received 27 admissions. Using Machine Learning (ML) algorithms, a new adaptable application can predict solar power production with unprecedented accuracy, supporting IWB’s ongoing sustainability drive.
Erik Bernhardsson
SEPTEMBER 23, 2015
This is a blog post rewritten from a presentation at NYC Machine Learning last week. For an example of this, let’s look at one of the most canonical data sets in machine learning – the MNIST handwritten digits dataset. I will be splitting it into several parts. Building an image search engine for handwritten digits.
Erik Bernhardsson
SEPTEMBER 23, 2015
This is a blog post rewritten from a presentation at NYC Machine Learning last week. For an example of this, let’s look at one of the most canonical data sets in machine learning – the MNIST handwritten digits dataset. I will be splitting it into several parts. Building an image search engine for handwritten digits.
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