KALAMAZOO, Mich.—Western Michigan University doctoral student Andrew Messecar received an Outstanding Student Poster Award at the 37th North American Molecular Beam Epitaxy Conference (NAMBE 2023) ...

Recent advancements in machine learning have substantially transformed the optimisation of the steelmaking process. Traditional methods, often limited by complex thermodynamic interactions and ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Imagine a future where computers don’t just follow orders - they think, adapt, and learn from their mistakes. Well, guess ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

Have you ever wondered how your streaming service knows just what movie you’d like to watch next? Or how your email filter separates the important messages from the sea of promotional clutter? The ...

With the rise of machine learning tools such as ChatGPT, we’ve seen a lot of speculation regarding what that looks like for the future of human creativity in the workplace and elsewhere. Some have ...

Machine learning techniques may have been used for years, but recently there has been an explosion in their applications. In fact, in a recent Q3 earnings call, Google CEO Sundar Pichai said “Machine ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Machine learning enables AI to learn and improve without direct programming. AI uses machine learning to analyze vast data sets and identify patterns. Accuracy of AI predictions depends on quality ...