Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...

What makes the Danish TV series Black Swan (not to be confused with Nicholas Nassim Taleb’s influential 2007 book, or the 2010 dark horror starring Natalie Portman) so relevant to our world, when ...

I am encountering an issue while using the VCPKG_FEATURE_FLAGS flag in a basic CMake project that only uses the fmt library. My goal is to populate the GitHub dependency graph, following the official ...

The risk in the JavaScript ecosystem isn't theoretical: earlier this month, a number of packages used by millions of developers were compromised via malicious code. These malware attacks against ...

Abstract: With the rise of large language models in natural language processing, the use of various generative large language models for entity recognition has become a cutting-edge research approach.

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...

JetBrains has released Ktor 3.2.0, an update to the Kotlin-based framework for building asynchronous applications that brings modules for dependency injection and HTMX and automatic deserialization of ...

JFrog Inc.-owned software package manager for C/C++ development environments Conan today introduced Conan Audit, a new security feature that enables developers to analyze dependencies for ...

Capture indirect dependencies between entities in the catalog relations graph. This could show when two entities are connected via a relation, but the entity sitting between them in the relation DAG ...