Rescale

Fine-tune ResNet-18 from TensorFlow Model Garden to classify CIFAR-10 images with this step-by-step deep learning tutorial.

Fine-Tuning ResNet-18 with TensorFlow Model Garden for CIFAR-10 Classification

Learn how to compress images using Singular Value Decomposition (SVD) in TensorFlow with practical examples, low-rank approximations, and energy-based tuning.

How to Compress Images With SVD and TensorFlow Core APIs

CompLabs is reimagining mechanical simulation with AI models that cut runtimes from days to seconds—boosting design speed, creativity, and precision.

Rethinking Simulation: How CompLabs Is Building Foundation Models for Mechanical Design

Restormer restores galaxy images with sharper detail, improved morphology, and superior photometry, outperforming degraded inputs by wide margins.

Quantifying Restoration: PSNR, SSIM, and Morphology in Deep-Learned Galaxies

A review of Face Recognition loss functions, exploring advancements from ArcFace to modern adaptive and prototype-based methods for improved accuracy.

Why AI Needs to Lose (a Little) to Recognize Your Face Better

In the next sections, we will study how the DM phenomenology of this model depends on the free parameters

The Phenomenology of Dark Matter Explained

Explore how output neutrality and slope coefficients challenge traditional inflation models, reshape Keynesian economics, and influence modern monetary policy. 

Neutrality, Trade-Offs, and the Future of Inflation Models

This paper explores using machine learning and LSTM for visual localization in underwater environments, achieving accurate positioning with underwater datasets.

Underwater Visual Localization Using Machine Learning and LSTM: Method

While conventional expectations are that HDR quality is better than SDR quality, this paper finds that viewers' preference depends heavily on the display device

HDR or SDR? A Study of Scaled and Compressed Videos: Objective Assessment

In this paper, researchers introduce Solos, a clean dataset of solo musical performances for training machine learning models on various audio-visual tasks.

Solos: A Dataset for Audio-Visual Music Analysis -  Experiments

In this paper, researchers introduce VEATIC dataset for human affect recognition, addressing limitations in existing datasets, enabling context-based inference.

VEATIC: Familiarity and Enjoyment Ratings & References

Explore alternative models and post-hoc adjustments in Amazon's Barrier-to-Exit analysis, including the impact on model robustness and distribution assumptions.

Assessing Non-linearities and Distribution Assumptions in Barrier-to-Exit Analysis

Few-shot classification involves training a model to perform a new classification task with a handful of labeled data. 

Transductive Learning for Textual Few-Shot Classification: Related Work

StyleGANEX: Enhancing Image Manipulation with Dilated Convolutions


AI Image Magic: Creating HD Photos and Funny Cartoons With StyleGANEX

A sequentially paginated, accessible, performant, responsive design, illustrated serial content document generator, aka “my comic book builder”.

Storybook V2 Comic Book Builder: Part 2, The Document Generator

This article looks at the Best Keras Datasets for Building and Training Deep Learning Models, accessible to developers and researchers worldwide. 

10 Best Keras Datasets for Building and Training Deep Learning Models

The HTML and JavaScript code used to build an accessible and responsive design animation and audio player for the Web.

An Elegant Three Button HTML and JavaScript Audio Animation Player

Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our tone, our selection of words, everything adds some type of information that can be interpreted and value extracted from it. In theory, we can understand and even predict human behaviour using that information.

Your Guide to Natural Language Processing (NLP)

The objective of the problem is to implement classification and localization algorithms to achieve high object classification and labelling accuracies, and train models readily with as least data and time as possible. The solution to the problem is considered in the following blog.

Efficient Implementation of MobileNet and YOLO Object Detection Algorithms for Image Annotation

In this short article, I follow the main steps of video transcoding and optimization for the web. I share basic tips and examples to consistently automate these processes inhouse using ffmpeg, a powerful and open source package.

Video Transcoding And Optimization For Web With ffmpeg Made Easy

In 1977, the NASA report <a href="https://ntrs.nasa.gov/search.jsp?R=19770014162&amp;hterms=NASA+SP-413+Space+Settlements&amp;qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchallany%26Ntt%3DNASA%2BSP-413%2B%2BSpace%2BSettlements" target="_blank">Space Settlements — A Design Study</a> published a grand vision of the future where among many accomplishments there would be space stations orbiting earth devoted to beaming down plentiful concentrated solar energy. The report stated: “power stations are placed in orbit around the Earth to which they deliver copious and valuable electrical energy. The economic value of these power stations will go far to justify the existence of the colony and the construction of more colonies.” Thirty Five years ago, the famous writer and futurist Isaac Asimov wrote <a href="https://www.thestar.com/news/world/2018/12/27/35-years-ago-isaac-asimov-was-asked-by-the-star-to-predict-the-world-of-2019-here-is-what-he-wrote.html" target="_blank">predictions for 2019 in the Toronto Star</a>. One of them echoed the 1977 NASA report, saying a “major part of Earth’s energy will come from the sun…energy will be so necessary to all and so clearly deliverable only if the nations remain at peace and work together, that war would become simply unthinkable.” These authors were joined by many others over the years in predicting a bright future. While there have been many advances since the seventies and eighties, and solar power has become a practical and important source of energy for the world, we are nowhere near having achieved these goals. Instead, today we are still using the fossil fuels that so many predicted should have become obsolete by now. In fact, we’re <a href="https://www.sciencedirect.com/science/article/abs/pii/S0305750X16304867" target="_blank">still subsidizing fossil fuels</a>, and by <a href="https://www.nature.com/articles/s41560-017-0009-8.epdf?referrer_access_token=yjdB1RpkL3iZMimhMwb8RNRgN0jAjWel9jnR3ZoTv0OyLLEcIVrbwv-XjMBX8LWWSQfaRxfzG3nveNLI28CX7bixsajBWLgBU4piW7b05HnngO_Q_EQauVtBRfFny3W0ieuH8mpL_4dLzAz1fmQAllxxcutbdjuON2SkgPoqP86hFN3KZ5JAr2ucTL8VrmR5TxIqvyAilCyVxLCQpMGUy_VRXJm-N_aluaB5RqxO6CVP-qbEpGQpB-h2lFY_QYUu-mC5ULlmG6ttC8Hrsv5DrsSTuVw13weqe83YlEw_3TXJQ-oNPOfiwz1bRGjCofDU&amp;tracking_referrer=www.theatlantic.com" target="_blank">2050, the United States will have underwritten the drilling of an extra 17 billion barrels of oil, enough to emit over 6 billion tons of carbon dioxide</a>. So, were these authors three and four decades ago delusional? What went wrong?

GIVE ENGINEERS AN ASSISTANT

It is frustrating that cryptocurrency movement relies on completely opaque pricing data. How is it possible to take any decision based on data from a black box?

Under the hood of crypto price aggregators

Whenever the machine learning engineers, Deep learning professionals gather at some meetup or conference the most common applications of Deep Learning they discuss ranges from Object Detection, Face Recognition, Natural Language Processing and Speech Recognition mainly due to Self-driving cars, Amazon-Alexa or Chatbots but there are other types of applications that are different from these standard applications which are creating enormous amount of buzz not only in the field of Artificial Intelligence but in the field of Art too.

Deep Dream with TensorFlow: A Practical guide to build your first Deep Dream Experience

Note: the following is a transcription of my interview with Brendan Eich, the creator of JavaScript and the Founder and President of Brave. I use Rev.com from translations and they remove ums, errs and half sentences. I have reviewed the transcription but if you find any mistakes, please feel free to <a href="http://hello@whatbitcoindid.com" target="_blank">email me</a>. You can <a href="https://www.whatbitcoindid.com/podcast/braves-brendan-eich-on-fixing-online-advertising" target="_blank">listen to the original recording</a> here.

Brave’s Brendan Eich on Fixing Online Advertising

Rescale offers industry-leading software platforms and hardware infrastructure for companies to perform scientific and engineering simulations

RESCALE

rescale.com

228 emps

Since 2011

Worth 750M

Rescale's stories on HackerNoon

Fine-Tuning ResNet-18 with TensorFlow Model Garden for CIFAR-10 Classification

How to Compress Images With SVD and TensorFlow Core APIs

Rethinking Simulation: How CompLabs Is Building Foundation Models for Mechanical Design

Quantifying Restoration: PSNR, SSIM, and Morphology in Deep-Learned Galaxies

Why AI Needs to Lose (a Little) to Recognize Your Face Better

The Phenomenology of Dark Matter Explained

Neutrality, Trade-Offs, and the Future of Inflation Models

Underwater Visual Localization Using Machine Learning and LSTM: Method

HDR or SDR? A Study of Scaled and Compressed Videos: Objective Assessment

Solos: A Dataset for Audio-Visual Music Analysis - Experiments

VEATIC: Familiarity and Enjoyment Ratings & References

Assessing Non-linearities and Distribution Assumptions in Barrier-to-Exit Analysis

Transductive Learning for Textual Few-Shot Classification: Related Work

AI Image Magic: Creating HD Photos and Funny Cartoons With StyleGANEX

Storybook V2 Comic Book Builder: Part 2, The Document Generator

10 Best Keras Datasets for Building and Training Deep Learning Models

An Elegant Three Button HTML and JavaScript Audio Animation Player

Your Guide to Natural Language Processing (NLP)

Efficient Implementation of MobileNet and YOLO Object Detection Algorithms for Image Annotation

Video Transcoding And Optimization For Web With ffmpeg Made Easy

GIVE ENGINEERS AN ASSISTANT

Under the hood of crypto price aggregators

Deep Dream with TensorFlow: A Practical guide to build your first Deep Dream Experience

Brave’s Brendan Eich on Fixing Online Advertising

Representing this company? Click here to claim and customize this page!

Reviews About Rescale

Rescale WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps