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AI-Driven MRI Brain Segmentation Using U-Net Model
Abstract In this white paper, we present an AI-based approach to brain MRI segmentation utilizing the U-Net architecture. Our solution enables precise identification of regions of interest in MRI scans, enhancing diagnostic capabilities in medical imaging. This paper outlines the design, architecture, and implementation of the model and showcases how it can be integrated into real-world applications using fast and efficient inference pipelines. Demo: arithescientist.com/uneti

Ari Iwunze
3 min read


Automated Summarization and Audio Generation of Legal Documents Using Transformer Models
Abstract This paper presents a web-based application that automates the summarization of legal documents and generates audio narrations...

Ari Iwunze
4 min read


AI-Powered Data Insights and Recommendations Tool: A Comprehensive Approach
Abstract This paper presents an AI-powered data insights and recommendations tool that simplifies data analysis for non-technical users....

Ari Iwunze
4 min read


Synthetic Data Generation for One-shot/Few-shot Image Synthesis: A Comprehensive Approach
Abstract The generation of synthetic data has become an essential tool for machine learning, especially in areas such as computer vision, where the collection of real-world data is often expensive, time-consuming, and limited by practical constraints. This paper presents a Synthetic Data Generator, developed using Unity 3D, which enables the creation of diverse and realistic datasets for one-shot and few-shot learning applications. Unity’s robust rendering engine allows for h

Ari Iwunze
19 min read


Zillow's Forecasting Model: Zestimate
The coronavirus pandemic raised significant questions about its potential impact on the housing market, particularly in King County, Washington, which includes the major cities of Seattle and Bellevue. Market indicators at the time showed reduced buyer interest amid stock market volatility, low inventory levels, and restrictions from stay-at-home orders. While some buying and selling activity continued, uncertainty remained high regarding the duration of lockdowns, the scale

Ari Iwunze
2 min read


Diagnosing Pneumonia Using Deep Learning
Pneumonia remains a significant global health challenge, claiming approximately one million lives each year. It disproportionately affects children under five and adults over 65. In 2016, pneumonia accounted for roughly one in every six childhood deaths worldwide. The condition involves inflammation of the lungs that impairs breathing and can become fatal if not treated promptly. Common symptoms include fever, cough with mucus, chest pain, and shortness of breath. Most cases

Ari Iwunze
2 min read


Tesla’s Race Towards Level 5 Autonomy
Making a movie is a complex task that requires careful decisions across multiple areas, including genre selection, casting, production choices, and creative intuition. While no one can predict the future with certainty, historical data provides valuable insights. Decades of movie-related data from sources such as IMDb, TMDb, Rotten Tomatoes, and Box Office Mojo reveal patterns in audience behavior. Although tastes evolve over time, core human preferences and decision-making t

Ari Iwunze
2 min read


Netflix's Aesthetic Visual Analysis
Making a movie is a complex task that requires careful decisions across multiple areas, including genre selection, casting, production choices, and creative intuition. While no one can predict the future with certainty, historical data provides valuable insights. Decades of movie-related data from sources such as IMDb, TMDb, Rotten Tomatoes, and Box Office Mojo reveal patterns in audience behavior. Although tastes evolve over time, core human preferences and decision-making t

Ari Iwunze
2 min read
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