Across the UK, financial institutions are using machine learning models to make decisions that affect millions of people. These decisions include credit approvals, fraud alerts, investment ...

In past roles, I’ve spent countless hours trying to understand why state-of-the-art models produced subpar outputs. The underlying issue here is that machine learning models don’t “think” like humans ...

They also add pressure to already crowded emergency departments.” In a new five-year, nearly $4 million project, funded by ...

Using a real-world, nationwide electronic health record–derived deidentified database of 38,048 patients with advanced NSCLC, we trained binary prediction algorithms to predict likelihood of 12-month ...

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights—including a model-estimated probability score for ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

A one-size-fits-all approach likely isn't the best strategy when designing artificial intelligence systems that assist users ...

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including completely new structures never seen before in nature. The technology has huge ...

SAS, the leader in data and AI, today announced SAS 360 Marketing AI, a new solution to help marketers build, deploy and scale machine learning models without relying on overstretched data science ...