How AI and ML will affect physics

By Sanka Das Sarma, contributing writer for

The advent of ChatGPT, Bard, and other large language models (LLM) has naturally excited everybody, including the entire physics community. There are many evolving questions for physicists about LLMs in particular and artificial intelligence (AI) in general. What do these stupendous developments in large-data technology mean for physics? How can they be incorporated in physics? What will be the role of machine learning (ML) itself in the process of physics discovery?


Five key trends shaping the future of predictive analytics

By Evan Kaplan, contributing writer for

In the current global business landscape, data-driven decision-making has become a pivotal factor in maintaining a competitive edge. In this sense, mastering the art of resource optimization is paramount, particularly when it comes to deploying technologies such as artificial intelligence (AI) and machine learning (ML).


Leveraging machine learning to enhance online gaming experience

By Srikanth, contributing writer for

In the sprawling digital forests of Canada, where online gamers from Victoria to St. John’s eagerly dive into free slots online or immerse themselves in massive multiplayer arenas, an unseen force transforms the landscape.  It’s not magic, though sometimes it feels like it; it’s Machine Learning (ML).  This transformative technology steadily reshapes our gaming adventures, making them more personal, immersive, and intuitive.


What’s the difference between natural language processing and machine learning?

By Idowu Omisola, contributing writer for

It’s normal to think that machine learning (ML) and natural language processing (NLP) are synonymous, particularly with the rise of AI that generates natural texts using machine learning models. If you’ve been following the recent AI frenzy, you’ve likely encountered products that use ML and NLP.


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