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deMISTify

Ansh Agrawal

How Vector Databases and Embeddings Powered Watchful.AI to Win Big at PennApps XXV

Imagine a campus security system so smart it can detect threats in real-time from live video feeds, alerting security before danger…

Mar 8

How Vector Databases and Embeddings Powered Watchful.AI to Win Big at PennApps XXV

Mar 8

Fola Adeleke

Building a Machine Learning Based Algo Trading Strategy | 01 | Alpha factors: an intro to the…

When writing machine learning algorithms for use in algorithmic trading, knowing what features — known in this context as alpha factors —…

Mar 8

Building a Machine Learning Based Algo Trading Strategy | 01 | Alpha factors: an intro to the…

Mar 8

Ambrose Ling

CPU Branch Prediction — Earliest forms of Machine Learning

Introduction

Jan 29

CPU Branch Prediction — Earliest forms of Machine Learning

Jan 29

Adam Roberge

[AV Vol.2] YOLO11: Elevating Real-Time Object Detection for Autonomous Vehicles

How YOLO11’s Cutting-Edge Innovations in Speed, Accuracy, and Versatility Are Shaping the Future of Autonomous Driving Systems

Jan 29

[AV Vol.2] YOLO11: Elevating Real-Time Object Detection for Autonomous Vehicles

Jan 29

Matt Parvaneh

A Gentle Introduction to Explainability for LLMs

If you have spent any time on the internet recently, you’ve almost certainly heard of Large Language Models. Powering our favorite tools…

Jan 29

A Gentle Introduction to Explainability for LLMs

Jan 29

Rowanrothe

The Magic of Hidden Layers in Neural Networks

How hidden layers allow computers to solve very abstract problems

Jan 29

The Magic of Hidden Layers in Neural Networks

Jan 29

Mithun Vanniasinghe

Online and Offline Approaches to Enhancing Reinforcement Learning with Skill Discovery

As Deep Q-Learning and neural network-based function approximators become more prevalent in reinforcement learning, policies often turn…

Jan 29

Online and Offline Approaches to Enhancing Reinforcement Learning with Skill Discovery

Jan 29

Nolan Young

Navigating the Future: The Role of AI and ML in Robotics and Autonomous Vehicles

Discover how AI and ML drive innovations in some of the most advanced technologies of our time.

Jan 29

Navigating the Future: The Role of AI and ML in Robotics and Autonomous Vehicles

Jan 29

Sean Eugene Chua

Fourier Analysis Networks, Explained

For most AI models today, their foundation is often built upon multi-layer perceptrons (MLPs), which is an artificial (feedforward) neural…

Jan 29

Fourier Analysis Networks, Explained

Jan 29

Oliver Kwun-Morfitt

Ensemble Models are Underrated | Quantitative Modelling and Kaggle Competitions

Have you ever wondered which machine learning models are used by top Kaggle competitors or quantitative traders? These groups seek models…

Nov 1, 2024

Ensemble Models are Underrated | Quantitative Modelling and Kaggle Competitions

Nov 1, 2024

deMISTify

Monthly articles published by UTMIST’s technical writers on topics in the field of machine learning and artificial intelligence.

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Editors

University of Toronto Machine Intelligence Team

UTMIST’s Technical Writing Team publishes articles on topics within machine learning to our official publication: https://medium.com/demistify

Mishaal Kandapath

Ambrose Ling

I like neuroscience, machine learning, business, computational biology:)

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