The size of a neural network is defined by how many parameters it has. Parameters in neural networks include things like its weights and its biases. The simple 3,4,2 network pictured below would have a […]
Latest in AI
AGI Blockers: What are the current limitations of neural networks?
Artificial general intelligence (AGI) can be defined as the point at which AI reaches human level intelligence. This point in time is called the singularity. This article will lay out some of the fundamental requirements […]
An introduction to the concepts behind Stable Diffusion
The thumbnail of this article was generated using Stable Diffusion, with the prompt “A dream of a distant galaxy, by Caspar David Friedrich, matte painting trending on artstation HQ”. This article aims to simply explain […]
What is the difference between verification and validation?
Verification and validation are important terms when it comes to building AI systems, especially as their capabilities and therefore potential impacts continue to rapidly increase. Put simply: Verification – Did I build the system right? […]
Meta’s new AI can read the thoughts of brain and spinal-cord injured patients
Current technology used for decoding brain signals into natural language involves invasively placing receptors onto the surface of the brain. These allow for the decoding of phonemes, speech sounds, hand gestures, and articulatory movements, and […]
Can neural networks come up with novel ideas?
A common misconception about neural networks is that they can only reproduce what they have been trained on. For instance a neural network trained on reading scientific papers would be able to answer questions about […]
DeepMind’s new GATO AI is ridiculously cool – but is it the world’s first proto-AGI?
*Article thumbnail generated by DALLE-2 — Source* Artificial general intelligence (AGI) is commonly defined as AI with human-level capabilities. It should have the ability to perform reasonably well over a large variety of unique tasks. […]
What is prompt engineering in AI research and why is it important?
Prompt engineering is the process of discovering prompts / inputs which yield useful or desired results. An everyday example of this is the way that we google. Practically any piece of information which we desire […]
Explaining zero-shot and one-shot learning in machine learning
Zero–shot learning and one–shot learning are both methods of machine learning where an algorithm can learn from a small amount of data. In zero–shot learning, the algorithm can learn from data that does not contain […]
Opinion: The possible negative impacts of AI development
As artificial intelligence (AI) technology continues to develop, so too does the public’s concern about its potential negative impacts. While AI holds great promise for improving our lives in many ways, there is a fear […]