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AI is a crucial tool for healthcare providers today, from revenue cycle management and patient engagement to operational efficiencies.Read More

AI researcher, Murray Shanahan, warns about the dangers of large language models not understanding language and “truth” like humans.Read More

UltraSense Systems announced it has created new touch-control sensors for cars that are more accurate because they use machine learning.Read More

During the coronavirus lockdowns, emissions of the potent greenhouse gas somehow soared. The culprit wasn’t humans—but the Earth itself.

The relaunch of Twitter’s subscription service is pretty confusing. Here’s what users receive for their money.

These are the titles that make the most of your big, burly Microsoft console.

Give the techie in your life access to the inner workings of the companies and characters shaping Big Tech.

An experiment at the Large Hadron Collider suggests there’s a chance of catching this elusive evidence as it floats through our galactic neighborhood.

Deep-learning models have proven to be highly valuable tools for making predictions and solving real-world tasks that involve the analysis of data. Despite their advantages, before they are deployed in real software and devices such as cell phones, these models require extensive training in physical data centers, which can be both time and energy consuming.