Google has upgraded NotebookLM with Gemini 3.5, a cloud-based code execution environment, and expanded file output support.

Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds—and in thousands of cases, spill highly sensitive data onto the public internet.

It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

We are using ThingsBoard version 3.3.4.1 and encountered an issue: when the server hosting ThingsBoard is disconnected from the network for a period, even after network recovery, ThingsBoard stops ...

* The Matrix analogy: Are we training AI inside simulations? Whether you're a data scientist, CTO, or just curious about how AI models learn, this episode offers a deep dive into one of the most ...

Converting large paper-based data into a spreadsheet is arguably the most mundane of tasks. In an era where AI can make Donald Trump sing a Taylor Swift song with perfect vocals, the manual drudgery ...

There is a current effort in education to instruct teachers in how to catch students using AI to write their papers. This is the wrong direction. Discouraging students from using AI in their writing ...

Abstract: To support novice students in learning Java programming, we have implemented the web-based Java Programming Learning Assistant System (JPLAS). In JPLAS, one of the implemented exercise ...

Abstract: Linking the components in a formal specification to those in the corresponding program is a prerequisite for formal specification-based program fault detection. Existing traceability link ...