Machine Learning to Treat Neurodegenerative Disease
Neurological diseases and disorders are perhaps more prevalent than ever, characterized by the progressively impaired functioning of nerve cells in the central and peripheral nervous systems. Alzheimer’s and Parkinson’s disease are the most common degenerative neurodegenerative diseases, but there are...
AI Experiments That You Can Try at Home!
There are probably AIs living around you right now, whether in a smartphone, a smart home device, a TV, a computer, or an internet browser. We live alongside AIs – they’ve become completely integrated into our day-to-day lives. You could...
Can AI Read Our Minds?
Mind-reading AI may seem like a dystopian concept, but it would revolutionize the lives of those who’ve lost their speech to paralysis and brain injuries. Electroencephalogram (EEG) technology, which measures electrical signals using electrodes connected to the scalp, has been...
AI Text Models: Strengths and Weaknesses
AI language models have gained some notoriety in the last year or so. The following passage was generated solely with GPT-3 when prompted to write a short passage on the subject of this blog. “Most AI text generators rely on...
How Do AI and ML Relate to AR and VR?
The progress of AR and VR has been steady rather than explosive as many predicted at the turn of the millennium. However, while most people have not yet set foot inside the Metaverse, we’ve witnessed a host of revolutionary AR...
The Benefits of Having a Human-in-the-Loop For Machine Learning and AI Projects
The power of machine learning and artificial intelligence goes beyond their flashy features and a futuristic vibe. Even though these technologies aren’t flawless, they have already transformed many industries and are poised to continue doing so in the future. From...
A Comprehensive Guide to Data Acquisition for Machine Learning
You will hear many data scientists use the phrase ‘rubbish in, rubbish out’. In the world of machine learning, it means that an algorithm will not serve its intended purpose if the training data is no good. And professional data...
The Importance of Data Quality for Machine Learning: How Bad Data Kills Projects
Despite fears of AI taking over the world, at its core, AI is still reactionary and doesn’t truly learn on its own. It can only make predictions based on the data it’s given. That is why data quality for machine...
What Is Named Entity Recognition in NLP?
Named entity recognition (NER) is a vital subfield of natural language processing (NLP). In short, NER aims to identify and extract named entities, such as people, organizations, locations, and other specific details, from unstructured text data. NER is widely used...
Examining the Elements of Spatial Data Science
Spatial data is so ever-present that we tend to forget about its significance – from the simplest of maps to weather forecasts to GPS – all of this is based on spatial data. Spatial data science simply takes this to...