Dr. Tehseen Zia
Tenured Associate Professor at Comsats University Islamabad
Bio
Dr. Tehseen Zia has Doctorate and more than 10 years of post-Doctorate research experience in Artificial Intelligence (AI). He is Tenured Associate Professor and leads AI research at Comsats University Islamabad, and co-principle investigator in National Center of Artificial Intelligence Pakistan. In the past, he has worked as research consultant on European Union funded AI project Dream4cars.
Articles by Dr. Tehseen Zia
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Machine Learning in Business: How Are Companies Leveraging AI for Growth?
With an extraordinary ability to analyze vast amounts of data and gain insights from the data, machine learning has become... -
AI-Powered Personalization: How Machine Learning is Transforming Customer Experience
What is AI-powered personalization? As the world becomes increasingly digital, businesses are finding new ways to connect with their customers... -
Exploring the Asilomar AI Principles: A Guide to Ensuring Safe and Beneficial AI Development
What are the Asilomar Principles? Over the last decade, Artificial Intelligence (AI) has achieved exceptional advances which have led to... -
Computing and AI: How On-Device Intelligence is Changing the Game
What is On-Device Intelligence? In recent years, machine learning and deep learning have driven a new wave of automation and... -
All About MLOps: From Best Practices to Challenges
While machine learning (ML) knowledge is vital for an AI engineer, building an effective career in AI essentially also requires... -
UAT Testing: How to Do it Right
One of the biggest challenges every business faces is keeping up with competitors to allow a new product to emerge... -
Yann LeCun: How to Develop Autonomous Artificial Intelligence
Some enthusiasts would argue that artificial intelligence (AI) is on the verge of becoming sentient. But not Yann LeCun, who... -
Prompt Learning: A New Way to Train Foundation Models in AI
Prompt learning, also referred to as "prompt-based learning," is an emerging strategy for allowing pre-trained AI models, also known as... -
Foundation Models: AI's Next Frontier
Modern-day artificial intelligence (AI) centers on learning from data -- and the more data there is, the better it learns.... -
Multimodal Learning: A New Frontier in Artificial Intelligence
The term modality refers to the way in which something is experienced or happened. Most often, however, the term modality... -
Data-Centric vs. Model-Centric AI: The Key to Improved Algorithms
Nowadays, no matter what artificial intelligence (AI) project we want to build, we need two main ingredients: A model.Data.Lots of... -
Top Artificial Intelligence Trends to Look Forward To in 2022
2021 was staggering—not only to escalate core artificial intelligence (AI) capabilities like natural language modeling and self-supervised learning (SSL), but... -
Best Artificial Intelligence Learning Resources Online in 2022
The artificial intelligence market is booming, with an expected annual growth of 35.6% CAGR from 2021 to 2026. The demand... -
The Role of Knowledge Graphs in Artificial Intelligence
Representing knowledge and the reasoning for the conclusions drawn has remained a cornerstone of artificial intelligence (AI) for decades. A... -
Why Does Explainable AI Matter Anyway?
As artificial intelligence (AI) becomes more and more pervasive in our daily lives; making vital decisions about our healthcare, loan...
Q&A by Dr. Tehseen Zia
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What's the difference between model-driven AI and data-driven AI?
Artificial Intelligence systems essentially involve two main ingredients: Code and Data. The code reflects AI model or algorithm which is...
