On The Social 333 Podcast, Emalaba details how sellers can legally conceal known defects, and how deal-level screening ...

When enterprises move AI workloads from pilot to production, data delivery often becomes the factor that determines whether ...

Abstract: Delay-sensitive applications impose the strict deadline-constrained latency requirement for end-to-end transmission. However, due to the high dynamics of link status and the limited network ...

Abstract: Communication networks are difficult to model and predict because they have become very sophisticated and dynamic. We develop a reinforcement learning routing algorithm (RLRouting) to solve ...

Jeremiah Blocki, jblocki+451@cs.cmu.edu: Monday @ 3:30 PM. GHC 7th floor lounge. Students can email me if they want to meet at a different time. Anvesh Komuravelli, anvesh+451@cs.cmu.edu: Friday @ 4 ...

DNET (Distribution Network Evaluation Tool) is an analysis tool that works with power distribution networks for efficient and stable operation such as loss minimization and verification. Power ...

The current leader is team Mindrake who took the top two spots with their CanaryVanillaPatch and CanaryVanilla approaches, followed by team ja^3 with their Manual Agent approach. The validated scores ...

Your AI system's ceiling is set by your data infrastructure quality. No model architecture improvement can break through that ...

I don’t think we will last much longer treating the internet as a single network. While the public web was built for people ...

The same family of artificial intelligence that powers today's image generators is now being aimed at one of biology's ...

Biomedical engineers at Duke University have developed a technique to noninvasively visualize the brain's waste-removal system in unprecedented detail. This new imaging approach allows researchers to ...