Abstract: Large-scale datacenter networks are increasingly using in-network aggregation (INA) and remote direct memory access (RDMA) techniques to accelerate deep neural network (DNN) training.

At its December Open Meeting, the FCC adopted a Third Report and Order and a Third Further Notice of Proposed Rulemaking, which aim to close a gap in its numbering authorization framework to better ...

Tutorial materials for working with Drosophila connectome datasets at the San Juan Winter School on Connectomics and Brain Simulation (SJCABS). We will work with all the major, dense connectome ...

Using Remote Direct Memory Access (RDMA) is the trend in data centers for achieving high throughput and low latency due to the benefits of hardware offloaded stacks. However, RDMA cannot provide ...

Researchers have created a protein that can detect the faint chemical signals neurons receive from other brain cells. By tracking glutamate in real time, scientists can finally see how neurons process ...

Abstract: To meet the energy efficiency demands of future applications, system-on-chip (SoC) designs continue to march towards ultra-low-voltage operation. This tutorial will address the fundamental ...

What if you could build a machine so powerful it could handle trillion-parameter AI models, yet so accessible it could sit right in your home office? In the video, NetworkChuck breaks down how he ...

WTF?! Vanguard is possibly the most intrusive anti-cheat system ever released for gaming. Developer Riot Games insists it is an essential requirement for playing its free-to-play titles, and now the ...

At this point, most competitive online multiplayer games on the PC come with some kind of kernel-level anti-cheat software. As we’ve written before, this is software that runs with more elevated ...

Certain motherboard models from vendors like ASRock, ASUSTeK Computer, GIGABYTE, and MSI are affected by a security vulnerability that leaves them susceptible to early-boot direct memory access (DMA) ...