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Artificial Intelligence Education

Using RigL to improve Sparse Training

Modern deep neural network architectures are often highly redundant , making it possible to remove a significant fraction of connections without harming performance. The...

Understanding NLP with Efficient Projection-Based Model Architectures

  Deep neural networks have radically transformed natural language processing (NLP) in the last decade, primarily through their application in data centers using specialized hardware....

How to Tackle Open Challenges in Offline Reinforcement Learning

Over the past several years, there has been a surge of interest in reinforcement learning (RL) driven by its high-profile successes in game playing and robotic control. However, unlike supervised...

Deep Learning on Controlled Noisy Labels

The success of deep neural networks depends on access to high-quality labeled training data, as the presence of label errors (label noise) in training...

Using DeepVariant 1.0 to Improve the Accuracy of Genomic Analysis

Sequencing genomes involves sampling short pieces of the DNA from the ~6 billion pairs of nucleobases — i.e., adenine (A), thymine (T), guanine (G),...

Advancements Instance-Level Recognition Research

Instance-level recognition (ILR) is the computer vision task of recognizing a specific instance of an object, rather than simply the category to which it belongs. For...

Solving The Black Box Mystery

I often hear people talking about neural networks as something as a black-box that you don’t understand what it does or what they mean....

Introducing the Model Card Toolkit

Machine learning (ML) model transparency is important across a wide variety of domains that impact peoples’ lives, from healthcare to personal finance to employment....

Estimating the 3D objects

Estimating the position and orientation of 3D objects is one of the core problems in computer vision applications that involve object-level perception, such as augmented...

Learning to Summarize with Human Feedback

We’ve applied reinforcement learning from human feedback to train language models that are better at summarization. Our models generate summaries that are better than...

Mapping the conflicts between idiographic and nomothetic subcultures

Abstract This article maps a controversy in network science over the last 15 years, dividing the field about the epistemic status of a central notion, scale-freeness....

How to Get into a Top-Tier Computer Science Program

Prepare for College as an Aspiring Computer Science Major At Juni Learning, our goal is not only to provide our students a structured computer science...
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SwiftUI TabView Introduction and Tab Bar Customization

  The tab bar interface appears in some of the most popular mobile apps such as Facebook, Instagram, and Twitter. A tab bar appears at...

Preparing Data in Machine Learning

Data preparation may be one of the most difficult steps in any machine learning project. The reason is that each dataset is different and highly...

Using blockchain to crack down abusive imagery

Blockchain could be an effective and efficient solution for helping to rid the internet of abusive imagery. Tackling abusive imagery can help victims...

Transforming chatbots throgh AI and ML

The increasing technology has always been a saviour for us. Technology still provides us with solutions for existing problems. One of the answers offered...
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