AWS Public Sector Blog

Tag: safety

pFaces targets heterogenous hardware configurations (HWCs) combining compute nodes (CNs) of CPUs, GPUs and hardware accelerators (HWAs). A web-based interface helps developers design parallel algorithms and run them on targeted HWCs.

TUM researcher finds new approach to safety-critical systems using parallelized algorithms on AWS

Mahmoud Khaled, a PhD student at TUM and a research assistant at LMU, researches how to improve safety-critical systems that require large amounts of compute power. Using AWS, Khaled’s research project, pFaces, accelerates parallelized algorithms and controls computational complexity to speed the time to science. His project findings introduce a new way to design and deploy verified control software for safety-critical systems, such as autonomous vehicles.

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Traffic in New York City

Reducing traffic-related frustration for city residents, enabled by the cloud

As communities around the world grow, traffic congestion problems increase. Cities and states in addition to regional authorities face decisions around how to modernize, maintain, and budget for upgrades to their transportation network to improve the quality of life and safety of their residents. With private and public sector collaboration, officials can measure and analyze city transportation and congestion to make data-driven decisions that improve the quality of life for their residents.

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Mission to Make the World a Safer Place through Crowdsourced Intelligence

LiveSafe, a mobile safety communications platform for crowdsourced intelligence, was born from a spirit of triumph over tragedy and the desire to make the world a safer place. The founding team saw an opportunity to mobilize and connect people through technology. As a victim of assault and a survivor of the Virginia Tech shooting, Shy […]

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