Le projet THINK

We describe a scalable framework that combines Deep RL with genetic algorithms to search in extremely large combinatorial spaces to solve a critical memory allocation problem in hardware.

In this blog, I intend to explore this method further and investigate other test classification datasets and sub-tasks in an effort to duplicate these results.

Machine learning requires us to have existing data — not the data our application will use when we run it, but data to learn from. 

Wei Li, Intel’s VP/GM AI & Analytics, discusses enabling an open AI ecosystem through Intel’s partnerships with Google, HuggingFace, and Accenture at the AI Summit in London.

Intel DL Boost brings accelerated performance without the need for a discrete add-on accelerator.

Azure Arc-Enabled Kubernetes enables centralized management of heterogenous and geographically separate Kubernetes clusters from Azure public cloud.

Installation Now Made Easier

On a single instance of n2-highcpu-64 on GCP, the whole pipeline finishes in just 459 seconds (7.65 mins). This is nearly 40 times faster than the 5-hour CPU baseline that we started with. This is also nearly 1.5 times faster than Nvidia A100 performance.

Women researchers at Intel Labs are working on new technology every day. In honor of Women’s History Month, we would like to highlight their innovative work. Through their contribution of novel ideas, problem-solving skills, and collaborative team efforts, Intel Labs continues to build tomorrow’s technology today.

The ability to learn tasks in a way that multiple ones can be performed simultaneously challenges both people and artificial neural networks.