New stress-testing tool: MetaEase analyzes algorithm source code to identify worst-case performance gaps without complex rewrites, streamlining verification. Preventing costly outages: By simulating ...
Democratic users were 7.5 percent more likely to get GOP-backed content than videos matching their own political views.
To ensure more food reaches communities in need, a team of researchers collaborated with VolunteerMatch and Feeding America to enhance their algorithms, making volunteer distribution more efficient ...
Some Amazon staff had complained about a lack of access to top AI coding tools, arguing the company risked falling behind in ...
Microsoft Defender Research observed a large-scale credential theft campaign that exemplifies this trend, using code of ...
From student-built machines to advanced research prototypes, robotics competitions demand a blend of smart algorithms, precise motion control, and efficient design. Teams integrate proven path ...
Abstract: Large Language Models (LLMs) have demonstrated unprecedented capabilities in language understanding and generation, yet their significant computational requirements pose substantial ...
Abstract: This study introduces a novel Convolutional Long Short-Term Memory (ConvLSTM) network for steel structure damage detection, aimed at enhancing the accuracy and reliability of structural ...
Hourly workers across a number of industries have long been grappling with unstable schedules and pay as their employers use ...