To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Google Research on November 7, 2025, introduced a new machine learning paradigm called Nested Learning, designed to solve catastrophic forgetting in AI models. This long-standing problem causes models ...

After a 2024 breakthrough album about her father’s death, the audacious Vermont singer-songwriter squares up to her mother’s living absence—and, without her, finds her own way forward. Frances’ ...

If you fail to enable nested virtualization or the Enable Nested VT-x/AMD-V option is grayed out in VirtualBox, here is how you fix the problem in Windows 11/10 PC ...

For the same task, the code of esProc SPL is simpler and easier to understand than SQL. Next, let's try how to integrate esProc in applications and simplify these ...