AI

Object Classification and Hardware Defect Segmentation

These are internship projects at Synergies Intelligent Systems, Inc. Tasks include using the YOLO object detection model to identify object areas and classify hardware defects with Detectron2. All rights reserved by Synergies Intelligent Systems, Inc.

Object Classification and Hardware Defect Segmentation

SMATCH-M-LLM: Semantic Similarity in Metamodel Matching With Large Language Models

This project focuses on developing a novel approach to metamodel matching using large language models, supervised by Dr. Hamdaqa at Polytechnique Montréal Software and Emerging Technologies Lab.

SMATCH-M-LLM: Semantic Similarity in Metamodel Matching With Large Language Models

Building a Multi-Agent System for Real-Time Conversations Between Humans and Als

This is an internship project at UC Berkeley and Nexa Speech, under the supervision of @NexaSpeech Lorenz Pichler and Alessandro Neri, made by Hin Chi Kwok, Kai Qin, Jaiteg Chahal, Nick Angelici, Nicole Han, and Ediz Ertekin.

Building a Multi-Agent System for Real-Time Conversations Between Humans and Als

Machine Learning for Code and Documentation

This research project at McGill University under the supervision of Dr. Jin Guo in the McGill Software Technology Lab seeks to critically assess the current capabilities and limitations of ML-based documentation generation tools. By focusing on the generation of pertinent and high-quality information, the project aims to enhance the utility of these tools for developers, ultimately leading to more efficient and effective software engineering practices. The success of this project could lead to more context-aware machine learning solutions that align closely with the nuanced needs of software engineers.

Machine Learning for Code and Documentation