A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Abstract: Software defect prediction (SDP) aims to identify potentially defective modules early in the development phase, thereby enhancing testing and improving the overall quality of software. Deep ...
When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google Dear reader, I have a confession to make: I never really ...
American electric vehicle manufacturer Rivian is recalling more than 24,000 vehicles because of a defect with hands-free highway assist, federal safety regulators said. In a Sept. 12, the National ...
As part of its unprovoked invasion, Russia has been firing massed waves of drones and missiles into Ukraine for years, though the tempo has been raised dramatically in recent months. Barrages of ...
Abstract: The scale of test cases and the ability to detect defects determine the cost and effectiveness of software testing. A well-designed test suit reduction method should maximize the ...
Final electrical test remains one of the best ways to assess a circuit’s ultimate viability. But we know that, unfortunately, even 100% end-of-line electrical testing of semiconductor wafers will not ...
A startup called Blok Intelligence Inc. today said it has raised $7.5 million to transform the software testing process with artificial intelligence agents that simulate the behavior of human users.
Major industries such as electric vehicles (EVs), Internet of Things (IoT), aeronautics, and railways have strict, well-established processes to ensure they can maintain high safety standards ...
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