Despite the AI hype, the systems require consistent monitoring and staffing to put in place and maintain. The process can be complicated — and expensive.

The AI company Anthropic is now worth $60 billion. The company’s cofounder and chief scientist, Jared Kaplan, shared how AI agents will develop in the coming year. ( MIT Technology Review)

To be honest, I was shocked at the outcome of the video, and even more so at the comments, all in agreement or saying things like “I rewrite what the AI says in my own words,” “What if I use Chat GPT to summarize the readings?

A newly compiled dataset of nearly one billion images of auroras is helping researchers categorize—and perhaps ultimately anticipate—the Northern Lights.

Artificial intelligence (AI) models, particularly artificial neural networks and machine learning, outperform traditional methods in predicting post–complete cytoreduction outcomes in patients with ovarian cancer,

Researchers at Mount Sinai Hospital have made it easier to detect a sleep disorder that is difficult to diagnose yet impacts more than 40 million people across the world.

Upstart (NASDAQ: UPST) and Lemonade (NYSE: LMND) are two small AI companies with a combined value of less than $8 billion, as of this writing, but they have the potential to change the world and make investors very wealthy in the process.

Stanford researchers built an algorithm to predict subtypes of Type 2 diabetes that works right from your home.

The industry's ability to establish effective governance hinges upon the ability to overcome the inherent challenges associated with using AI in healthcare.

The obvious answer would appear to be that the algorithm was likely trained on large tranches of Chinese data, and, thus, that data is influencing the algorithm’s output.

Crypto marketplace is abuzz with the brand new entrant making waves: Ozak AI Token. This revolutionary token has stuck the eye of buyers from installed communities along with Dogecoin, Shiba Inu (SHIB),

Surprisingly, our new research (published in the Journal of Marketing) finds the opposite. People with less knowledge about AI are actually more open to using the technology. We call this difference in adoption propensity the “lower literacy-higher receptivity” link.