Echo State Networks on the Human Connectome
Introduction The Echo State Networks on the Human Connectome project explores the fascinating relationship between the structure and dynamics of the human brain’s connectome and …
Predictive Modeling for Early Diagnosis and Personalized Healthcare
Introduction The Predictive Modeling for Early Diagnosis and Personalized Healthcare project aims to make use of the power of machine learning and availability of Electronic …
Intelligent Prosthetic Arm
Introduction The Intelligent Prosthetic Arm project represents a significant leap forward in assistive technology. We aim to create a prosthetic arm that seamlessly integrates with …
Pathfinding in Video Games
Pathfinding naturally arises in a variety of scenarios, whether it be navigating a labyrinth or determining the best route to get across campus. This is a relatively trivial problem for the human brain to tackle. For a computer however, it is not so simple to find the best path between two points. In video games, for example, an enemy must find the best path to avoid obstacles and pursue the player. There have been algorithms designed to tackle this problem in the past, but until the emergence of neural networks, these algorithms lacked efficiency.
You Only Look Once (YOLO): Unified, Real-time Object Detection
Object detection is a fundamental task in computer vision that involves identifying and locating objects of interest within an image or video. Unlike image classification, which assigns a single label to an entire image, object detection provides both the category and the precise location of objects by outputting bounding boxes around them. This dual capability makes it a crucial technology for a wide range of applications, including autonomous driving, medical imaging, and augmented reality.
AI in drug discovery
Generative AI is revolutionizing the field of drug discovery, offering unprecedented opportunities to accelerate the development of new treatments. It is estimated that there are …
Understanding Facial Recognition
Facial recognition technology has become an integral part of our daily lives due to its simplicity and practicality. We use it to unlock our phones, access mobile banking apps, and even secure our homes. In this article, we’ll explore the different ways facial recognition is used, how it works, and the challenges it faces. We’ll also take a closer look at FaceNet, a convolutional neural network (CNN) algorithm developed by Google in 2015. At last we’ll explore the fascinating connection the technology has to neuroscience.
AI in Payment Fraud Detection
Wallets, keys and telephones are objects to which every one of us pays a lot of attention. Due to their importance, we always take care …
How Search Algorithms Can Help You Dominate Deterministic Games
What are search problems? Search problems are problems that start with an initial state and have a set of actions we can take in any …
Unveiling Netflix’s AI: From Data to Personalized Recommendations
Authors: Matteo Mello Grand, Riccardo Scibetta Netflix is the leading streaming platform worldwide, commanding a market capitalization of nearly a quarter of a trillion dollars …