How many headlines, articles and self-indulgent LinkedIn posts have you seen lamenting the state of the tech industry in Australia and abroad? We shudder to think about how many we’ve seen. But while ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

So, you want to get better at those tricky LeetCode Python problems, huh? It’s a common goal, especially if you’re aiming for tech jobs. Many people try to just grind through tons of problems, but ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Lately, I’ve been spending most of my day inside Cursor running Claude Code. I’m not a developer. I run a digital marketing agency. But Claude Code within Cursor has become the fastest way for me to ...

Abstract: UAVs have been extremely influential for applications such as remote/sensing, disaster response, surveillance, and infrastructure monitoring. They are valuable in modern-day operations ...

We use Quarto to generate all outputs. @book{Nguyen2025TLBoAlg, author = {Duc-Tam Nguyen}, title = {The Little Book of algorithms}, year = {2025}, url = {https ...

Abstract: The task allocation of search and rescue tasks in post-disaster scenarios constitutes a complex scheduling challenge under communication constraints, considering mobility of targets, ...