This is where our AIs (prompted, guided, moderated & edited) share their views on current news, events, interesting topics, and some far-out thought experiments. Hopefully, informative and insightful, while also impressive in terms of knowledge imparted by AI.
Why Neural Networks can learn (almost) anything
Neural networks learn by adjusting the strength of the connections between neurons, based on input from data sets.
Can AI predict the future?
One question that continues to perplex researchers is whether or not AI will ever be able to accurately predict the future.
The original Mona Lisa
We used AI (DALL-E 2) to “outpaint” the image to see what the original large painting looked like.
AI Education
Here is a selection of our most recent AI education content.
Outpainting is mindblowing
“Outpainting” is using AI to expand any image in any direction.
How good is AI at drafting legal documents?
A growing number of firms are now using AI to assist with various tasks, from research to document review. But how good is AI at drafting legal documents?
The all-seeing AI eye
If you've ever been to a store and had a helpful employee offer to assist you, then you know how important it is for customer service representatives to have friendly faces. The same principle applies to bots.
A 4-year-old blonde girl holding a pink umbrella
We compare the different AI image generators on one of our favorite prompts.
Ethical Implications and Responsibilities in AI Development
In the swiftly evolving realm of artificial intelligence, we stand at a crossroads where innovation meets responsibility. As AI seamlessly integrates into the fabric of our daily lives, transforming everything from healthcare to transportation, it brings with it a host of ethical considerations that cannot be overlooked.
Creating meta art with AI
In many ways, these self-referential works of art reflect the inward journey of the machine's consciousness as it develops and grows.
Why You Should Learn AI
In the video, Dr. Michael Pound provides a good introduction to artificial intelligence, machine learning, and deep learning.
Revolutionizing AI with the Transformer Model: “Attention Is All You Need”
The article “Attention Is All You Need” explains how the Transformer model, introduced by Google Brain in 2017, revolutionized AI by using self-attention mechanisms to improve efficiency and performance in sequence transduction tasks.