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

Hybrid AI Model Boosts Particle Identification in Physics

Researchers introduced "DeepRFreg," a hybrid model combining deep neural networks and random forests, significantly enhancing particle identification (PID) in high-energy physics experiments. This innovation improves precision and reduces misidentification in particle detection.

19 Jun 2024

Evaluating GUI Assistants with Video-Based Benchmarks

Researchers introduced VideoGUI, a novel benchmark evaluating GUI assistants on complex, visual-centric tasks derived from high-quality web instructional videos. Their study highlights the limitations of current state-of-the-art models and offers detailed evaluation metrics for advancing GUI automation.

18 Jun 2024

Machine Learning Boosts Rainfall Prediction Accuracy

Researchers have developed an advanced machine learning model utilizing long short-term memory (LSTM) to improve the accuracy of predicting extreme rainfall events in Rwanda. This model offers significant insights for climate adaptation and disaster management, especially amid escalating severe weather conditions.

17 Jun 2024

Predicting Upper Secondary Education Dropout Using Machine Learning

In a study published in Scientific Reports, researchers used machine learning to predict upper secondary education dropout with high accuracy. By analyzing comprehensive data from kindergarten to Grade 9, the study identified key factors influencing dropout, enabling early intervention strategies to support at-risk students.

14 Jun 2024

AI Enhances Thin Section Image Annotation

Researchers developed the SACA-StyleGAN method to generate and semi-automatically annotate cast thin section images of tight oil reservoirs. This approach significantly improves data diversity, image quality, and annotation efficiency, offering a promising solution for geological analysis and exploration.

13 Jun 2024

GPT-4 Enhances Japanese Essay Scoring

A recent study found GPT-4 superior in assessing non-native Japanese writing, outperforming conventional AES tools and other LLMs. This advancement promises more accurate, unbiased evaluations, benefiting language learners and educators alike.

12 Jun 2024

AI Predicts Acoustic Boundaries with Precision

Researchers in Mechanical Systems and Signal Processing showcased a novel data-driven approach utilizing physics-informed neural networks (PINNs) to predict acoustic boundary conditions. This method accurately learns the sound pressure field and characterizes acoustic boundary admittance from noisy data, overcoming the challenges of traditional inverse methods.

12 Jun 2024

TPE-LightGBM Model Pinpoints Water Hazards in Coal Mines

Researchers developed the TPE-LightGBM model to precisely identify water hazard sources in coal mines, significantly enhancing safety and management in complex hydrogeological settings.

10 Jun 2024

ChatGPT Redefines Business Tasks

Researchers analyzed 3.8 million tweets to uncover how users engage with ChatGPT for tasks like coding and content creation, highlighting its versatile applications. The study underscores ChatGPT's potential to revolutionize business processes and services across multiple domains.

7 Jun 2024

AI and Digital Twins: Revolutionizing System Capabilities

A review in Data & Knowledge Engineering investigates how AI enhances digital twins, highlighting improved functionalities and key research gaps. The integration of these technologies shows promise across various sectors, from healthcare to smart cities.

6 Jun 2024