To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Although some studies in recent years have focused on the coexistence of service and task dependencies in the collaborative optimization of service caching and task offloading in Vehicle Edge ...

Its goal is to bring edge computing and communications to off-grid and/or inhospitable environments. Anduril says it’s already being used in military ground vehicles and maritime vessels.

Pingali is the CEO and co-founder of Katana Graph, which is a startup based on this technology and funded by leading VCs in the tech industry. Pingali is the winner of multiple awards, including ...

Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom. Increased ...

Chen, F., Li, P., Miyazaki, T. and Wu, C. (2022) Fedgraph Federated Graph Learning with Intelligent Sampling. IEEE Transactions on Parallel and Distributed Systems, 33, 1775-1786.

Task planning in language agents is gaining attention in LLM research, focusing on breaking complex tasks into manageable sub-tasks arranged in a graph format, with nodes as tasks and edges as ...

Each node (vertex) in a DAG represents a task or step within a workflow, and each edge (arrow) represents a dependency. The edges are called “directed” because there can only be a one-way relationship ...

For parallel processing to be effective in ETL tasks, data must be partitioned correctly. Partitioning involves dividing the dataset into discrete segments that can be processed independently.