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DeepSeek R1: Pioneering Reasoning in Large Language Models Through Reinforcement Learning
Published:
The development of reasoning capabilities in large language models (LLMs) is a complex yet pivotal frontier in AI research. DeepSeek R1 represents a major leap in this space, introducing innovative methodologies for reasoning-oriented model training. In this post, we’ll explore what makes DeepSeek R1 significant, its architectural innovations, and its implications for the future of AI. Read more
Unveiling a $500 Billion Leap in AI: Trump’s Private Sector Investment Plan
Published:
President Donald Trump is set to announce a monumental private sector initiative aimed at bolstering the United States’ artificial intelligence (AI) infrastructure with an investment of up to $500 billion. This ambitious plan involves leading tech companies like OpenAI, SoftBank, and Oracle, under a collaborative venture named “Stargate.” Read more
Supervised Learning Showdown: kNN, SVM, Neural Networks, and Boosted Trees
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In this post, we dive into the world of supervised learning, comparing the performance of four popular algorithms: k-Nearest Neighbors (kNN), Support Vector Machines (SVM), Neural Networks (NN), and Decision Trees with Boosting (specifically, AdaBoost). We’ll analyze their effectiveness on two distinct datasets, highlighting their strengths and weaknesses. Read more
Algorithm — Generate Parentheses: Python and C++ Solutions
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In this blog post, we’ll explore LeetCode’s “Generate Parentheses” problem and present two clean backtracking solutions—one in Python and one in C++. This classic problem is an excellent demonstration of how to use recursion to systematically explore all valid possibilities. Read more
Meta Releases Llama 3.1 Models
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Meta just released a new collection of Llama 3.1 models in 8B, 70B, and 405B parameter sizes. Read more
Algorithm — Reverse Only Letters: A Python Solution
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In many programming interviews, candidates encounter challenges that test their ability to manipulate strings efficiently. One such problem involves reversing a string with a twist: only the letters should be reversed, while non-letter characters remain in their original positions. In this blog post, we’ll explore this problem and present an optimized Python solution. Read more
Training Your Own GPT Models: A Case Study
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publications
Deep data analysis for COVID-19 outbreak
Published in Reinvention of health applications with IoT, 2022
The rampaging effects of the coronavirus disease in 2019 (COVID-19), which was pronounced a pandemic on 11 March 2020 by the World Health Organization (WHO), have become one of the biggest challenges of the twenty-first century in terms of general wellbeing and safety. Read more
Recommended citation: O.J. Odeyemi, S.O. Owoeye, K.I. Adenuga and C.B. Emele. (2022). Deep machine learning for Sensing, Analysis, and Interpretation in IoT Healthcare. Reinvention of health applications with IoT: 1-16.
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Deep machine learning for Sensing, Analysis, and Interpretation in IoT Healthcare
Published in Reinvention of Health Applications with IoT, 2022
The introduction of the Internet of Things (IoT) has brought about a much-needed upgrade in healthcare industry worldwide. As the world population continues to increase, data generated in these industries are now collected and transmitted seamlessly over the internet, leading to a more efficient system while reducing healthcare costs. Read more
Recommended citation: O.J. Odeyemi, S.O. Owoeye, K.I. Adenuga and C.B. Emele. (2022). Deep machine learning for Sensing, Analysis, and Interpretation in IoT Healthcare. Reinvention of health applications with IoT: 1-16.
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A human factor approach to distribution network design for e-commerce in supply chain system: a case study
Published in Enterprise Information Systems, 2023
Distribution network for e-commerce is an important supply chain (SC) networks required for effective management of warehousing. Due to the recent disruption in the SC, minimal lead times for product delivery days can no longer be guaranteed, thereby causing an increase in distribution and delivery of goods. Read more
Recommended citation: Ogbeyemi, A., Odeyemi, J., Igenewari, O., & Ogbeyemi, A. (2023). A human factor approach to distribution network design for e-commerce in supply chain system: a case study. Enterprise Information Systems, 17(12). https://doi.org/10.1080/17517575.2023.2200767.
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Exploring the potential of computer vision and machine learning in enhancing the functionality of an EMG-controlled prosthetic hand
Published in Harvest, University of Saskatchewan, 2023
The potential of using machine learning techniques to develop prosthetic arms that can automatically perform hand gestures and grasp objects is very important in healthcare systems. Hands are an important part of the body for all vertebras, animals use theirs for locomotion, however, because of our bipedal nature as humans, we use our hands majorly for gripping and general manipulation. Read more
Recommended citation: Odeyemi, J. (2023). Exploring the potential of computer vision and machine learning in enhancing the functionality of an EMG-controlled prosthetic hand. Masters thesis, University of Saskatchewan.
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On Automated Object Grasping for Intelligent Prosthetic Hands Using Machine Learning
Published in Bioengineering, 2024
Prosthetic technology has witnessed remarkable advancements, yet challenges persist in achieving autonomous grasping control while ensuring the user’s experience is not compromised. Read more
Recommended citation: Odeyemi, J.; Ogbeyemi, A.; Wong, K.; Zhang, W. On Automated Object Grasping for Intelligent Prosthetic Hands Using Machine Learning. Bioengineering 2024, 11, 108. https://doi.org/10.3390/bioengineering11020108.
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A Novel Embryo Morphology Evaluation Based on Improved YOLOv8 Object Detection Model
Published in International Conference on Life System Modeling and Simulation, LSMS 2024 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, Suzhou, China, 2025
This study presents a novel approach for embryo morphology evaluation using an improved YOLOv8 object detection model, offering significant advancements in the field of reproductive medicine. Read more
Recommended citation: Talha, O., Zhou, W., Xu, Y., Liu, Q., Odeyemi, J. (2024). A Novel Embryo Morphology Evaluation Based on Improved YOLOv8 Object Detection Model. In: Gu, J., Hu, F., Zhou, H., Fei, Z., Yang, E. (eds) Robotics and Autonomous Systems and Engineering Applications of Computational Intelligence. LSMS ICSEE 2024 2024. Communications in Computer and Information Science, vol 2220. Springer, Singapore. https://doi.org/10.1007/978-981-96-0313-8_15
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talks
teaching
Introduction to Mechatronics - Laboratory
Undergraduate course, University of Saskatchewan, Mechanical Engineering, 2023
This course is designed to provide students with hands-on experience in the field of mechatronics. The course will cover the basics of mechatronics, including sensors, actuators, and microcontrollers. The course will also cover the design and implementation of mechatronic systems, including the use of software tools such as MATLAB and Simulink. The course will include a series of laboratory experiments that will allow students to apply the concepts learned in class to real-world problems. Read more