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

Zinc-Air Battery Powers Miniature Robots

MIT researchers developed a tiny zinc-air battery capable of powering autonomous cell-sized robots. This innovation promises to revolutionize miniature robotics by providing a reliable and efficient power source. It will enable applications in medicine, environmental monitoring, and search and rescue operations.

27 Aug 2024

AI Transforms Team Collaboration with Dynamic Planning

A novel AI team assistant improves collaboration by aligning team members' beliefs and coordinating actions using a dynamic epistemic logic framework.

26 Aug 2024

LLMs Transform Anomaly Detection in Wind Energy

Researchers introduced "SigLLM," a framework using large language models (LLMs) to detect anomalies in wind turbines. The study demonstrated that LLMs could efficiently identify faults with minimal training, offering a promising alternative to traditional deep-learning models in complex systems.

22 Aug 2024

Drones Improve Multi-Room Exploration with AI

Researchers developed a framework for autonomous drones to efficiently explore multi-room environments by prioritizing areas of interest and using inter-robot communication. The approach significantly enhanced exploration efficiency, with potential applications in search and rescue, infrastructure inspection, and environmental monitoring.

21 Aug 2024

EES Algorithm Empowers Robots to Learn Autonomously

The Estimate Extrapolate and Situate (EES) algorithm enables robots to refine their skills in unfamiliar environments with minimal human input. This innovative approach, tested on Boston Dynamics' Spot robot, significantly reduces learning time, enhancing robot adaptability in various real-world applications.

18 Aug 2024

New Benchmarking Method Assesses Autonomous Navigation in Hospital Robots

Researchers introduced a benchmarking method to assess autonomous navigation in hospital robots, focusing on metrics like completion time and success rate.

15 Aug 2024

AI Enhances Liver Disease Diagnostics

AIM-MASH, a new AI tool, improves the accuracy and consistency of diagnosing metabolic dysfunction-associated steatohepatitis (MASH). By analyzing liver biopsies, AIM-MASH provides repeatable and reliable results, enhancing clinical trials and patient care for liver disease treatment.

14 Aug 2024

Humanoid Robots Set to Revolutionize Car Manufacturing

Researchers from BMW and Figure investigated the integration of humanoid robots, specifically Figure 02, into automotive manufacturing, focusing on tasks like inserting sheet metal parts for chassis assembly. The study demonstrated that these robots could enhance efficiency, improve safety, and address ergonomic challenges, highlighting their potential to transform manufacturing processes across industries

13 Aug 2024

Fighting Greenwashing with Blockchain-Based Emissions Data

Researchers explored the innovative "Immutably" platform by Context Labs, designed to combat greenwashing by providing transparent, verifiable emissions data using advanced analytics and blockchain technology. The platform, developed by Dan Harple SM '13, helps organizations accurately measure, monitor, and verify their environmental impact, driving genuine sustainability efforts across various industries.

12 Aug 2024

Advancing Diagnostics with Automated Microfluidic System

Researchers developed an automated microfluidic system for preparing sequencing libraries, making next-generation sequencing more accessible and efficient, especially for point-of-care diagnostics. The device offers comparable performance to manual methods, enhancing NGS usability in clinical settings.

7 Aug 2024