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A lot of the hype today centers on the idea of developers using AI “to write their code.” This is not practical, at least not for complex tasks. However, AI does have some strengths:

• Producing first drafts of code.

• Minor code updates.

• Automating repetitive tasks.

• Producing code summaries.

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Now that AI is transforming nearly every industry, healthcare stands out as a field with immense potential — and unique risks.

A single AI-generated error here could lead to serious consequences for patient health.

Designed to one day search for evidence of life in the briny ocean beneath the icy shell of Jupiter’s moon Europa, these robots could play a key role in detecting chemical and temperature signals that might indicate alien life, according to scientists at NASA’s Jet Propulsion Laboratory (JPL), who designed and tested the robots.

“People might ask, why is NASA developing an underwater robot for space exploration?” said Ethan Schaler, the project’s principal investigator at JPL. “It’s because there are places we want to go in the solar system to look for life, and we think life needs water.”

At some point in the early 1900s, cars started showing up among all the horses in Austin. It must have been a strange time, fraught with concerns about how vehicles and horses would share the streets.

Somehow, we got through it — although, occasionally, you can still spot a horse downtown.

But a new dynamic is taking shape now. While autonomous vehicles are nothing new for Austin — they’ve been tested here for nearly a decade — many people are still being caught off guard when a car with no one in it cruises by.

People write with personal style and individual flourishes that set them apart from other writers. So does AI, including top programs like Chat GPT, new Johns Hopkins University-led research finds.

A new tool can not only detect writing created by AI, it can predict which created it, findings that could help identify school cheaters and the language programs favored by people spreading online disinformation.

“We’re the first to show that AI-generated text shares the same features as human writing, and that this can be used to reliably detect it and attribute it to specific language models,” said author Nicholas Andrews, a senior research scientist at Johns Hopkins’ Human Language Technology Center of Excellence.