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

Unlocking Transparency in Diffusion Models With Scalable Data Attribution Methods

Researchers developed a scalable framework for data attribution in diffusion models, using influence functions to improve model transparency and accountability.

22 Oct 2024

Apple Researchers Challenge Large Language Models' Math Reasoning Capabilities with New Benchmark

Apple researchers introduced GSM-Symbolic, a new benchmark to reveal the weaknesses in large language models' mathematical reasoning, showing that they rely heavily on pattern-matching rather than genuine logic.

21 Oct 2024

Don't Panic: A Hitchhiker’s Guide to Scaling Laws for Large Language Models

MIT and IBM researchers improve scaling law predictions for large language models using intermediate checkpoints, making training more efficient and reliable.

20 Oct 2024

SPARRO Framework Enhances Promptology for Ethical AI Use in Higher Education

Researchers developed the SPARRO framework, a structured approach for ethical AI integration in education, addressing challenges like AI hallucinations and plagiarism in healthcare and nursing courses. Future validation in other academic disciplines is essential.

17 Oct 2024

AgentHarm Benchmark Exposes Weaknesses in AI Agents to Harmful Misuse and Jailbreaking

Researchers from Gray Swan AI and the UK AI Safety Institute introduced the AgentHarm benchmark, revealing vulnerabilities in large language model agents to harmful misuse and jailbreak attacks.

16 Oct 2024

ARIA: The Open Multimodal AI Model Redefining Performance

ARIA is an open-source multimodal AI model that uses a mixture-of-experts architecture to achieve state-of-the-art performance across tasks involving text, code, images, and videos, excelling in long-context and multimodal reasoning.

15 Oct 2024

ScienceAgentBench Exposes Language Agents' Challenges in Automating Scientific Workflows

Research introduces ScienceAgentBench, a benchmark to rigorously evaluate the capabilities of language agents in automating data-driven scientific discovery, highlighting both their potential and current limitations.

14 Oct 2024

Presto! Speeds Up Text-To-Music Generation With Unmatched Performance

Researchers from Adobe and UC San Diego introduce Presto!, a novel framework that accelerates text-to-music generation using score-based diffusion transformers, reducing both sampling steps and computational costs while maintaining high-quality outputs.

14 Oct 2024

Self-Supervised Learning Boosts Sewer Anomaly Detection With Better Accuracy

Research rigorously evaluates self-supervised learning methods for anomaly detection in sewer infrastructure, showing that joint-embedding techniques outperform reconstruction-based approaches under class imbalance.

10 Oct 2024

Transforming Network Engineering with Large Language Models

Research explores how large language models (LLMs) can revolutionize network engineering by enhancing design, implementation, analytics, and management. It highlights the potential of LLMs to automate tasks and improve efficiency in dynamic and complex network environments.

9 Oct 2024