Last time, we learned about the "loss function (the 'bad score' indicator)," which measures how wrong an AI's answer is. However, even if the AI knows its score is bad, it cannot grow unless it knows ...

A common ineffective way teachers check for understanding in the classroom is by asking a variation of the question, “Does everybody get this?” If not that, then what? Today’s post will offer a number ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

What truly separates the way you think from how an AI like a large language model operates? Imagine trying to teach a child to recognize a dog. With just a few examples, they’d quickly grasp the ...

The May 5 article, “5 Research-Backed Ways to Help Students Catch up in Math,” reminded me of my early days as a teacher and school leader. I regularly worked one-on-one with middle and high school ...

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...

When I'm not writing about specialty medical marketing or recording episodes of the Ailm Practice Education Series, I like to explore ideas that spark personal and professional growth. These musings ...

Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and advanced problem-solving. These ...