AI Algorithms and Software

AI Algorithms and Software

Helping machines to understand human language better

Natural language is ambiguous. Human beings can easily disambiguate the meaning of linguistic units such as words, phrases and sentences as they read or listen. However it is difficult for machines to do the same without explicit representations of syntax, semantic and discourse. As a researcher in Natural Language Processing (NLP) at NTU, Professor Joty

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AI Algorithms and Software

Developing a unified framework for NLP algorithms

Natural language processing (NLP) has been around for more than 50 years but has become more well-known recently, thanks to personal assistant applications such as Apple’s Siri and Amazon’s Alexa. It is also the driving force behind language translation applications such as Google Translate. It has been no easy feat coming this far. Enabling computers

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AI Algorithms and Software

Natural Language Processing for Appendicitis Diagnosis

Researchers in natural language processing (NLP) have made significant progress recently. We have also witnessed more NLP applications in widespread use, such as chatbots, grammar checkers and more. One emerging application is medical text mining, which involves the use of NLP algorithms to process clinical notes written by doctors, to derive useful information and knowledge.

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AI Algorithms and Software

A Better Visualization of L1 and L2 Regularization

Here’s an intuitive explanation of why L1 regularization shrinks weights to 0. Regularization is a popular method to prevent models from overfitting. The idea is simple: I want to keep my model weights small, so I will add a penalty for having large weights. The two most common methods of regularization are Lasso (or L1)

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AI Algorithms and Software

Word Embedding, Character Embedding and Contextual Embedding in BiDAF — an Illustrated Guide

BiDAF is a popular machine learning model for Question and Answering tasks. This article illustrates how BiDAF uses three embedding mechanisms to convert words into their vector representations. (By Meraldo Antonio) This article is the second in a series of four articles that aim to illustrate the working of Bi-Directional Attention Flow (BiDAF), a popular machine learning model

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AI Algorithms and Software

An Illustrated Guide to Bi-Directional Attention Flow (BiDAF)

This article illustrates the workings of BiDAF, an NLP model that has pushed the envelope in the Question and Answer domain. (By Meraldo Antonio) The year 2016 saw the publication of BiDAF by a team at the University of Washington. BiDAF handily beat the best Q&A models at that time and for several weeks topped

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Recent Articles

Integrating DVC Into AI Singapore’s Data Platform

(By Desiree Chen) When working on projects, AI Engineers and AI Apprentices conduct multiple experiments with various hyperparameters being involved. There will be several versions of data and models to be tracked. Such tracking allows one team member to reproduce the experiment conducted by another team member and perhaps subsequently improve on the model. Data Version Control (DVC) provides

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Supporting the TagUI Telegram Community with Hasky

TagUI is a free Robotic Process Automation (RPA) tool offered by AI Singapore. It also has a thriving international user community that builds applications with it across different domains. While the TagUI GitHub page is the go-to place for their work, users have also found value in joining the official Telegram chat group to get

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Deepfakes & Misinformation: The Ethics Behind AI

(This article was contributed by the SMU AISG Student Chapter) Deepfakes are fake events, commonly the swapping of faces and/or manipulation of facial expressions, which largely resemble the real thing but are in fact artificially created by leveraging on deep learning, a form of artificial intelligence. To put it briefly, an artificial neural network is

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