Artificial Intelligence

Pooling or sampling: Collective dynamics for electrical flow estimation

The computation of electrical flows is a crucial primitive for many recently proposed optimization algorithms on weighted networks. While typically implemented as a centralized subroutine, the ability to perform this task in a fully decentralized way is implicit in a number of biological systems. Thus, a natural question is whether this task can provably be accomplished in an efficient way by a network of agents executing a simple protocol.

SapienzaAI

Italiano

Dual NVIDIA DGX-1 AI System providing a 2 petaFLOPS computing power optimised for Deep Learning. The two machines are connected with IB EDR high performance network.
System specs:
2 x NVIDIA DGX-1 systems, each one cnsisting in 8 NVIDIA® Tesla V100 GPUs with 256 GB total GPU-RAM, 40960 CUDA cores, 5120 Tenosr cores, 512 GB system memory, 8 TB storage, 4 IB EDR

Improving the integration between BIMs and Agent-Based Simulations. The Swarm Building Modeling – SBM

The disruptive factor of the current industrial sectors is the constant spreading of ICT technology into produc-tion cycles. Following this trend, several companies improved their productive factors towards the optimiza-tion of processes through the digitalization of themselves, also thanks to public and private funds.

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