Muhammad Osama

BTech(MechEng)

Mechanical Engineering with specialization in AI & Robotics

Muhammad Osama is a full-time data analytics consultant and freelance technical writer based in Delhi, India. He specializes in transforming complex technical concepts into accessible content. He has a Bachelor of Technology in Mechanical Engineering with specialization in AI & Robotics from Galgotias University, India, and he has extensive experience in technical content writing, data science and analytics, and artificial intelligence. Muhammad has worked on various research projects related to data analytics, machine learning, and deep learning for industries such as retail, medical, finance, agriculture, and Ed-Tech. He is enthusiastic and passionate about Artificial Intelligence-related research. Outside of work, he enjoys learning about new developments across all the fields related to science, technology, engineering, mathematics, and statistics.

Articles from Muhammad

Detecting Cancer Early with Deep Learning

A new deep-learning model has been created that can accurately identify lung and colon cancers using histopathological images.

12 Sep 2024

Smartphones and Deep Learning Can Be Used to Detect Obesity

Using smartphone sensors and a hybrid deep learning model, researchers developed a non-invasive method to detect obesity in adolescents by analyzing gait patterns. This approach could revolutionize obesity monitoring with its accessibility, accuracy, and real-time capabilities.

11 Sep 2024

ANN Models Predict Monkeypox Outbreaks Accurately

Advanced artificial neural network (ANN) models were developed to forecast monkeypox outbreaks, achieving high accuracy and supporting public health preparedness.

10 Sep 2024

How AI is Shaping the Future of Education: Key Takeaways from MIT's Summit

The MIT AI + Education Summit explored the integration of AI in education, emphasizing the need for AI fluency among students and teachers. It highlighted the benefits of AI-supported learning tools and the importance of responsible AI use to enhance educational outcomes.

9 Sep 2024

AI Enhances Spare Parts Optimization and Maintenance

Research in Supply Chain Analytics demonstrates the effectiveness of explainable artificial intelligence (XAI) in predictive maintenance and spare parts optimization. Using the LIME method, the study enhances transparency in machine learning predictions, improving maintenance strategies, resource allocation, and inventory management across industries.

5 Sep 2024

Boosting Skin Cancer Detection with AI Techniques

Researchers developed a hybrid AI framework combining the Xception deep learning model with the artificial bee colony optimization algorithm, significantly improving skin cancer classification accuracy. This approach aims to enhance early detection and diagnosis, improving patient outcomes.

4 Sep 2024

AI Tool Aids in Early Dementia Detection

The SCAN-DAN project uses AI and machine learning to analyze brain scans and predict dementia risk. By identifying early patterns, the project aims to develop a predictive tool for radiologists, potentially revolutionizing early diagnosis and treatment of dementia.

3 Sep 2024

Detecting Pancreatic Cancer with Machine Learning and miRNA

This study combines microRNA sequencing and machine learning to develop a non-invasive diagnostic model for early pancreatic cancer detection. The approach achieved high sensitivity and specificity, offering a promising tool for improving patient outcomes through earlier diagnosis.

2 Sep 2024

NeuroTrALE Transforms Brain Mapping with AI

NeuroTrALE, a novel AI-powered software, accelerates brain mapping by automating data processing and reducing manual annotation. By combining supercomputing with active learning, it enhances understanding of neurological disorders, significantly improving research efficiency and accuracy in brain imaging analysis.

29 Aug 2024

Novel Foot Design Boosts Humanoid Robot Mobility

Researchers have developed a Harmonious Terrain Adaptability and Stability (HTEC) foot, a bionic structure that enhances the stability and adaptability of humanoid robots on various terrains.

28 Aug 2024