Building Expert AI With Domain-Specific Data
The internet has been transformative for AI development, providing the vast quantities of data that power today's most advanced systems. From language models to computer vision, many of modern AI's breakthroughs would be impossible without access to this enormous pool...
Abductive Learning and Artificial Intelligence: Why Can’t Machines learn like Humans?
In an oriental fable, the sons of King Serendippo travel a distant road. They come across a man who has lost a camel. Is it, they ask him, blind on one side, carrying two skins on its back, one of...
How to Find Training Data for Machine Learning
Supervised machine learning projects require training data. By learning from training data, a supervised algorithm aims to accurately predict outcomes when exposed to real data. Understanding how to find training data for machine learning is crucial to ensure the algorithm...
Is Synthetic Training Data the Future of Machine Learning?
Even as the availability of processing power increases exponentially, and machine learning algorithms are commoditized, there is a problem that persistently slows the development of complex AI: obtaining high-quality, accurate training data. All supervised machine learning algorithms require training data,...
Using AI and Machine Learning to Decipher Ancient Languages
he Sumerians inhabited Mesopotamia some 6000 years ago, the region between the Tigris and Euphrates rivers, in modern-day Iraq, Kuwait, Turkey, and Syria. Mesopotamia marks humanity’s transition from small agricultural settlements to larger urban societies. The first cities were built...
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...
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...