Abstract: Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing attention.

A study reported that the conventional method of searching follicular fluid didn’t find all the eggs. The new technology found extra eggs more than half the time. A viable egg found by the OvaReady ...

Philippine authorities said Wednesday that a ferry may have been overloaded when it sank in the country's south last month, killing dozens of people who received no warning from the ship's crew. The ...

An Olympic figure skater preparing to compete in Milan said Monday he is being forced to scrap his planned short program at the 11th hour due to music copyright complications. This is a sharp example ...

Who sprayed Ilhan Omar? What was she sprayed with at town hall? What we know Where is the Supreme Court’s decision on Trump’s tariffs? Southwest Airlines officially ends longstanding open-seating ...

A 911 call has revealed more details about the tragic death of Tommy Lee Jones’ daughter, Victoria Jones. In a dispatch audio, obtained by TMZ on Friday, a call for the incident came in as a “code 3 ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

Narrated by Mark Ruffalo with insights from Walter Isaacson, Cracking the Code: Phil Sharp and the Biotech Revolution follows Sharp’s rise from a rural Kentucky farm boy battling dyslexia to a Nobel ...

Phil Sharp reveals how his RNA discovery is transforming biology. A groundbreaking look at Phil Sharp's rise from being a rural Kentucky farm boy who battled dyslexia to Nobel Prize-winning scientist.

A groundbreaking look at Phil Sharp’s rise from being a rural Kentucky farm boy who battled dyslexia to Nobel Prize-winning scientist. Narrated by Mark Ruffalo with insights from Walter Isaacson, ...

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.