Machine learning has become integral to our daily lives, quietly shaping experiences from Netflix's personalized movie recommendations to the facial recognition technology on flagship Android phones.

Understand what Machine Learning is, how it works, and its three main types, along with some real-life examples.

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent breakthroughs indicate that the answer is affirmative, with a molecular ...

For more information or to register for this event, visit AI and Machine Learning Uses in Neuroscience Drug Discovery.

ML is a subset of artificial intelligence (AI) that allows computers to learn without being explicitly programmed. In simple terms, machine learning (ML) is a subset of artificial intelligence (AI) ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

In this module, we delve into the concept of clustering, a fundamental technique in data analysis and machine learning. Clustering involves grouping a set of objects in such a way that objects in the ...