Data Science Blog

MARCH 26, 2023

Imagine that agents move in a 5*10 grid map and choose either of 4 actions at each grid. This means you basically need to retain an array with 200 elements to model an action value in the grid map. In cliff walking, an agent learns to reach the other sided of a grid map trying never to fall from a cliff like in the figure below.

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Dataconomy

NOVEMBER 15, 2023

A recent publication in Science introduces Google DeepMind’s GraphCast, an AI model that sets new standards in medium-range weather forecasting. degrees longitude/latitude, translating to a detailed 28km x 28km grid at the equator. This high level of precision covers over a million grid points across the Earth’s surface.

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Google Research AI blog

FEBRUARY 22, 2023

Posted by Hartmut Neven, VP of Engineering, and Julian Kelly, Director of Quantum Hardware, on behalf of the Google Quantum AI Team Many years from today, scientists will be able to use fault-tolerant quantum computers for large-scale computations with applications across science and industry.

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Flipboard

JANUARY 3, 2024

RELATED: Pacific NW National Lab opens AI center to concentrate on science, security and energy “There are pockets of AI research and AI engineering all across the laboratory, and we’re at a point now to be able to aggregate our collective expertise and really champion our work,” he said.

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PyImageSearch

JULY 17, 2023

If CUDA is available, the code will set DEVICE to cuda , and PyTorch will perform its computations on the GPU, which can drastically speed up training for many machine learning models. If CUDA is not available, DEVICE will be set to cpu , and PyTorch will use the CPU for its computations.

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AWS Machine Learning Blog

JULY 20, 2023

This is a guest post by Mario Namtao Shianti Larcher, Head of Computer Vision at Enel. Fortunately, thanks to enormous advances in the world of computer vision and deep learning and the maturity and democratization of these technologies, it’s possible to automate this expensive process partially or even completely.

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DrivenData Labs

MARCH 26, 2024

Dr. Steve Crawford, Senior Program Executive for Scientific Data and Computing at NASA Background ¶ Our world is facing many urgent challenges, such as climate change, water insecurity, and food insecurity. Sebastian Sanches Bernal is studying Remote Sensing and Geospatial Sciences at Boston University.

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Heartbeat

APRIL 30, 2023

Photo by Comet ML Introduction In the field of computer vision, Kangas is one of the tools becoming increasingly popular for image data processing and analysis. Similar to how Pandas revolutionized the way data analysts work with tabular data, Kangas is doing the same for computer vision tasks. Have you tried Comet?

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Dataconomy

AUGUST 11, 2023

They talk about doping the substance with copper, which, according to Science, may have bent the chain of lead atoms and created channels along which the superconductivity occurs. One article on the topic that appeared in the science publication Nature in 2020 was subsequently retracted. Not the first claim of its sort, LK-99.

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Hacker News

MAY 12, 2023

A member of the American Academy of Arts and Sciences , he also was a Fellow of the American Physical Society and a member of the MIT board of trustees. Based in Berlin, the DGS supports the introduction of solar technologies and renewable energy resources into the power grid. in physical chemistry from Princeton.

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Hacker News

FEBRUARY 2, 2023

Computational Foundations for the Second Law of Thermodynamics (forthcoming) 2. But it wasn’t long before I started hearing mentions that somewhere at the school there was a computer. I’d seen a computer in real life only once—when I was 10 years old, and from a distance. How Did We Get Here?

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DrivenData Labs

NOVEMBER 14, 2023

For this competition, the Level-3 mass change grids are likely more useful than Level-2 data from GRACE-FO. The Harmonized Landsat and Sentinel-2 (HLS) dataset combines Landsat satellite data with satellite data from the European Space Agency's Sentinel-2 mission. However, MODIS provides data more frequently than ASTER.

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Data Science Dojo

JULY 27, 2023

Learners can create a command-line or graphical version of the game, where two players take turns marking X and O symbols on a 3×3 grid. Automatic driver: The Automatic Driver project teaches users how to create a program that automates certain tasks on their computer. Use online resources to find help and documentation.

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Mlearning.ai

SEPTEMBER 24, 2023

Learn How To Make GridSearchCV More Efficient Photo by ANTONI SHKRABA production Introduction Grid search is a popular hyperparameter optimisation technique. This technique computes all the possible candidates for the solution. The remaining fold is used as test data to compute a performance measure. It can be also inefficient.

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Smart Data Collective

FEBRUARY 21, 2020

Tom Dietterich, a professor of the Department of Electrical Engineering and Computer Science at Portland State University, has written an article on the impact of big data in this field. They can work with a large variety of advanced tools and use CAD (computer-aided design) systems to assist them. Conducting research programs.

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Becoming Human

MAY 15, 2023

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. So, this roadmap to learning data science will help you to resolve all your queries.

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AWS Machine Learning Blog

DECEMBER 14, 2023

To overcome this business challenge, ICL decided to develop in-house capabilities to use machine learning (ML) for computer vision (CV) to automatically monitor their mining machines. As a traditional mining company, the availability of internal resources with data science, CV, or ML skills was limited. Ion Kleopas is a Sr.

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AWS Machine Learning Blog

JANUARY 31, 2024

In this post, we present an approach to develop a deep learning-based computer vision model to detect and highlight forged images in mortgage underwriting. Specifically, the JPEG algorithm operates on an 8×8 pixel grid. We provide guidance on building, training, and deploying deep learning networks on Amazon SageMaker.

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DrivenData Labs

JULY 19, 2023

In recent years, advances in computing and data science have powered new capabilities for computer programs to learn patterns from vast amounts of examples and apply those learnings automatically and at scale. A challenge of this magnitude calls for the best ideas, tools and technologies we have to offer.

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Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. Visual encoding allowed people to quickly understand data through visual comparison rather than the mental math needed for grids of numbers. Let’s take a look at each. . Connectivity.

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Hacker News

NOVEMBER 10, 2021

Think of it as the entangled limit of everything that is computationally possible: the result of following all possible computational rules in all possible ways. And it’s one that I think has extremely deep implications—both in science and beyond. The full ruliad is in effect a representation of all possible computations.

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Heartbeat

JUNE 27, 2023

Different Graph neural networks tasks [ Source ] Convolution Neural Networks in the context of computer vision can be seen as GNNs that are applied to a grid (or graph) of pixels. Images and text can also be modeled as graphs as it would be easy and intuitive to learn about the symmetries in the data from a graph like grid-data.

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Heartbeat

AUGUST 8, 2023

We then perform a grid search over all possible combinations of hyperparameters, define and train an LSTM model for each combination, and evaluate its performance on the test set. The label parameter is used to distinguish between the actual and predicted values, and the function is used to display a legend.

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Heartbeat

DECEMBER 20, 2023

Andrew Jones of Data Science Infinity Imagine that you train a network to recognize pictures of a statue. Andrew Jones of Data Science Infinity This operation is repeated for every section of the image that a filter strides over. In the example below, for each 2x2 grid of pixels, the pixel with the maximum value is kept.

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Applied Data Science

JANUARY 4, 2022

This is hugely exciting for computer vision — CNNs have held first place until now. The immense computational complexity of recent algorithms has forced their creators to train them only a handful of times, in many cases just once. In 2021, the following were added to the ever growing list of Transformer applications.

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Hacker News

FEBRUARY 6, 2024

While the results underscore the considerable work ahead, Annie Kritcher , a physicist at LLNL who led design of the experiment, says it still signals a major milestone in fusion science. “It Nonetheless, by analyzing the results of previous experiments and using computer modeling, the team was able to crack the problem.

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Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. Integration of AI with Other Technologies (ongoing): AI is increasingly integrated with other emerging technologies, such as Internet of Things (IoT), blockchain, and edge computing.

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Google Research AI blog

JUNE 21, 2023

Non-Abelian anyons could open a new avenue for quantum computation, in which quantum operations are achieved by swapping particles around one another like strings are swapped around one another to create braids. In the process of doing so, we remove one edge in the stabilizer grid, giving rise to two points where only three edges intersect.

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Heartbeat

AUGUST 21, 2023

CNNs are artificial neural networks built to handle data having a grid-like architecture, such as photos or movies. The ability of CNNs to process and analyze data with a grid-like structure, such as images or videos, distinguishes them from other neural network architectures. What Are Convolutional Neural Networks CNN?

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Hacker News

FEBRUARY 14, 2023

See also: “Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT” » It’s Just Adding One Word at a Time That ChatGPT can automatically generate something that reads even superficially like human-written text is remarkable, and unexpected. But how does it do it? And why does it work?

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Hacker News

FEBRUARY 3, 2023

Computational Foundations for the Second Law of Thermodynamics 2. The Second Law of thermodynamics is considered one of the great general principles of physical science. It’s all a story of the interplay between underlying computational irreducibility and our nature as computationally bounded observers. How Did We Get Here?

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AWS Machine Learning Blog

JANUARY 26, 2023

SageMaker provides automated model tuning , which manages the undifferentiated heavy lifting of provisioning and managing compute infrastructure to run several iterations and select the optimized model candidate from training. The Best Egg data science team uses Amazon SageMaker Studio for building and running Jupyter notebooks.

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Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. Visual encoding allowed people to quickly understand data through visual comparison rather than the mental math needed for grids of numbers. Let’s take a look at each. . Connectivity.

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PyImageSearch

OCTOBER 2, 2023

It’s typically computed using the Mean Squared Error (MSE) between the original and reconstructed images. Next, on Lines 390-392 , we compute the Binary Cross-Entropy (BCE) loss between the original input x and its reconstruction x_reconstructed. represents the reconstruction loss. is the number of samples.

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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AWS Machine Learning Blog

MARCH 8, 2023

Manager Data Science at Marubeni Power International. Solution overview Electricity markets enable trading power and energy to balance power supply and demand in the electric grid and to cover different electric grid reliability needs. Manager Data Science at Marubeni Power International. in Computer Engineering.

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The MLOps Blog

JUNE 27, 2023

With built-in components and integration with Google Cloud services, Vertex AI simplifies the end-to-end machine learning process, making it easier for data science teams to build and deploy models at scale. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects.

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