How many headlines, articles and self-indulgent LinkedIn posts have you seen lamenting the state of the tech industry in ...

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 ...

As AI search becomes conversational, prompt patterns reveal how questions evolve and how content appears in search results and AI answers.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

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, ...