In the pulsating heart of the digital era, we stand on the cusp of Artificial Intelligence (AI) advancements that appear almost magical in their potential. Large language models (LLMs) like GPT-4 take center stage, embodying our boldest strides into the AI frontier. But as with any frontier, amidst the opportunity…
Month: May 2023
Mitigating Catastrophic Forgetting in Neural Networks: Do Machine Brains Need Sleep?
When it comes to learning, our brains exhibit a unique trait: the ability to accumulate knowledge over time without forgetting the old lessons while learning new ones. This, however, is a big challenge for the digital brains of our era – the artificial neural networks, which face a predicament known…
Neurosymbolic AI: An Unexpected Blend with Promising Potential
Imagine combining two powerful and contrasting AI technologies as one might pair pizza and pineapple. A blend that has sparked both love and disagreement. This is the idea behind Neurosymbolic AI, a novel field that unites the rigid logic of symbolic AI and the adaptive learning prowess of neural networks….
RNN, Vanishing Gradients, and LSTM: A Photo Fiasco Turned Into a Masterpiece
RNNs: The Overzealous Photographer Imagine a Recurrent Neural Network (RNN) as that friend who insists on documenting every single moment of a trip with photos. Every. Single. One. From the half-eaten sandwich at the roadside diner to the blurry squirrel spotted at a distance, nothing escapes the RNN’s camera. It…
Unpacking the Power of TinyML: The Science Behind the Small
In the realm of Artificial Intelligence (AI), the trend is often towards bigger and better – larger datasets, more powerful processors, and complex models. But what if we could achieve equally meaningful insights with a fraction of the power and size? Welcome to the world of Tiny Machine Learning, or…
The Architect and the Mason: Building a Career in AI and Cybersecurity
Being a career mentoring volunteer also has an exceptional charm to it. It makes you come across diverse people and even more diverse queries that not only give you a peek into different thought process prevailing around, but also propels you to brainstorm on the same to find out the…
Generative AI: Breeding Innovation, Not Job Destruction
Today, I found myself in a room, listening to a discussion that was buzzing with words like ‘Deep learning’, ‘Neural networks’, and ‘Generative models’. Amidst the whirlwind of tech jargon, a statement by Dr. Christian Essling stood out: “AI will not replace doctors, but doctors using AI will replace doctors…