Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

We have been implementing AI since 1997. We use its collection of techniques, applications, algorithms and models to make processing informational text faster, easier, more accurate, and less of a ...

If generative AI was about productivity, agentic AI is about orchestration and autonomy of decision making. Imagine an ...

In the 1980s and 1990s, Schmidhuber and others explored evolutionary algorithms for improving coding agents, creating ...

Arjun Malhotra's work offers a blueprint for building explainable, adaptive, and compliant analytics platforms, demonstrating ...

Based on the analysis of a large dataset for optimal undirected double-loop networks, we studied the problem of finding families of optimal double-loop graphs with the minimal possible diameter.

TMTPOST -- China is closing in on the U.S. in the AI industry-academia-research race, with new data shedding light on evolving talent flows, publication output, and shifting research focus across the ...

In this paper we present an efficient algorithm for the synthesis of fully consistent graphs. A consistent graph is a graph whose cyclic sum of edge weights along all loops is zero. It plays an ...

LeetCode is super important for coding interviews because lots of big tech companies use its style of problems. Getting good ...

Traditional manufacturing systems, though increasingly digitized, remain reliant on predefined rules, static algorithms, and ...

"Become a coding god!" is not an achievable milestone. "Solve 5 array problems this week" is. Break down your big goals into ...