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

Researchers Develop HELMET to Evaluate Long-Context Models Effectively

Research introduces HELMET, a comprehensive benchmark designed to evaluate long-context language models (LCLMs) across diverse real-world tasks, improving upon existing synthetic benchmarks.

8 Oct 2024

Deep Learning Model Predicts Flight Strategies to Control Pandemics

Researchers developed a novel GNN framework, DWSAGE, to analyze how international air travel impacts the global spread of COVID-19 and provide pandemic control strategies. This model offers dynamic, real-time predictions, aiding policymakers in managing future outbreaks.

7 Oct 2024

NVIDIA's NVLM 1.0 Revolutionizes AI with Breakthrough Multimodal Performance

NVIDIA introduces NVLM 1.0, a multimodal large language model that sets a new benchmark by excelling in both vision-language and text-only tasks, showcasing innovations in high-resolution image processing.

7 Oct 2024

Large Language Models in Astronomy Can Boost Research but Pose Ethical Risks

Researchers explored how large language models (LLMs) can assist astronomy research but warned of ethical challenges, including hallucinations and over-reliance on these tools. They emphasize the need for critical human oversight in LLM-driven workflows.

3 Oct 2024

AI Transforms Climate Research, China Leads Global Innovation

Researchers used a vast, multilingual dataset to systematically review how artificial intelligence is applied in global climate research, identifying China as the leading contributor and uncovering opportunities for AI to further impact climate science.

3 Oct 2024

Researchers Boost Smart Agriculture Efficiency With Improved Ant Colony Algorithm

Researchers from Xinjiang University have developed an improved ant colony algorithm for dynamic job allocation in agricultural machinery, reducing operational costs and improving efficiency in smart agriculture.

2 Oct 2024

PeerArg System Enhances Peer Review Transparency With Argumentation and AI

Study introduces PeerArg, a system that integrates large language models (LLMs) with computational argumentation to enhance the transparency and accuracy of peer review predictions, outperforming traditional LLM methods in predicting paper acceptance.

30 Sep 2024

Can We Ethically Navigate AI’s Future and Risks?

Researchers from the University of Granada examine AI's history, capabilities, emotional simulation, risks, and the concept of singularity, urging ethical oversight and transparency in future AI developments.

29 Sep 2024

55 Green AI Initiatives

Research paper reviews 55 green AI initiatives aimed at reducing energy consumption and carbon emissions while identifying the challenges of adopting sustainable AI technologies across industries. The study emphasizes collaboration, model efficiency, and ethical practices to advance green AI development.

27 Sep 2024

YesBut Dataset Challenges Vision-Language Models to Understand Satire

A new study introduces the YesBut dataset, designed to evaluate how well vision-language models comprehend satire, highlighting significant gaps in current model capabilities.

25 Sep 2024