Machine learning (ML) might be considered the core subset of artificial intelligence (AI), and reinforcement learning may be the quintessential subset of ML that people imagine when they think of AI.

Editor’s note: This post from Duke’s Fuqua School of Business is the second article about the future of machine learning in WRAL TechWire’s regular “Deep Dive” feature. Earlier this month Deep Dive ...

In the United States, residential and commercial buildings account for nearly 40 percent of all energy consumption. About 40 percent of that energy use is from heating, ventilation, and ...

Get the latest federal technology news delivered to your inbox. An approach called federated learning trains machine learning models on devices like smartphones and laptops, rather than requiring the ...

What if robots could learn to adapt to their surroundings as effortlessly as humans do? The rise of quadruped robots, like Boston Dynamics’ Spot, is turning this vision into reality. By integrating ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Another area where machine learning is making significant strides is in content accessibility. Auto transcription services employed by platforms like Slack and YouTube convert spoken language into ...

For years, the "last mile" of digital transformation has been littered with forgotten PDFs and ignored training manuals. Organizations spend millions on sophisticated software like SAP or Salesforce, ...

Artificial intelligence (AI) machine learning is emerging as a useful tool to assist cancer clinicians. A new study published in Nature Medicine shows how combining AI edge computing with swarm ...