This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

Currently, TMO enables transparent memory offloading across millions of servers in our datacenters, resulting in memory savings of 20%–32%. Of this, 7%–19% is from the application containers, while ...

sFlow represents a pure packet sampling approach designed specifically for high-speed network monitoring. It randomly samples ...

In the world of robotics, the spotlight often falls on sensors, actuators, and artificial intelligence (AI) algorithms.

TMO: Transparent Memory Offloading in Datacenters,” answers key questions about memory-tier management in warehouse-scale computers. Large warehouse-scale computers (WSCs) underpin all the cloud ...

Elias Nogueira shares a strategic approach to modern microservice testing, detailing solutions for three core challenges. He discusses parallel execution for multiple databases using Testcontainers, ...

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM.

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