In August 2019 the Computing Community Consortium (CCC) and the Association for the Advancement of Artificial Intelligence (AAAI), released A 20-Year Community Roadmap for Artificial Intelligence Research in the US. The Roadmap is the output of a series of three workshops that were held in late 2018 and early 2019, with the goal of identifying challenges and opportunities to effectively inform future federal priorities, including future AI R&D Investments. The CCC and AAAI shared the roadmap findings during the Artificial Intelligence Research: A Community Roadmap scientific session at the 2020 American Association for the Advancement of Science (AAAS) Annual Meeting, which took place in Seattle, Washington in February, 2020. The session was moderated […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Posts Tagged ‘self-driving cars’
CCC @ AAAS 2020 – Artificial Intelligence Research: A Community Roadmap
April 14th, 2020 / in AAAS, AI / by Khari DouglasCan We Trust Autonomous Systems and Seeing the Classics at the Technik Museum Speyer
September 25th, 2019 / in AI / by Khari DouglasIn Tuesday’s opening lecture at the Heidelberg Laureate Forum (HLF), Joseph Sifakis, 2007 Turing Award winner, discussed whether we can trust autonomous systems and considered the interplay between the trustworthiness of the system – the system’s ability to behave as expected despite mishaps – and the criticality of the task – the severity of the impact an error will have on the fulfillment of a task. Sifakis defined autonomy as the combination of five complementary functions – perception, reflection, goal management, planning, and self-awareness/adaption. The better a given system can manage these functions the higher the level of autonomy we say that it has, from 0 (no automation) to 5 (full automation, no […]
Catalyzing Computing Episode 4 – What is Thermodynamic Computing? Part 2
March 4th, 2019 / in big science, Blue Sky, podcast, research horizons / by Khari DouglasLast week I shared my interview with Thermodynamic Computing workshop organizers, Tom Conte (Georgia Tech) and Todd Hylton (UC San Diego) and workshop participant Christof Teuscher in What is Thermodynamic Computing? Part 1. Part 2 of What is Thermodynamic Computing? is now available for streaming or download on Soundcloud (embed below), or you find it on iTunes | Spotify | Stitcher | Google Play. In this episode I interview workshop organizer, Natesh Ganesh, a PhD student at the University of Massachusetts Amherst who is interested in the physical limits to computing, brain inspired hardware, non-equilibrium thermodynamics, and emergence of intelligence in self-organized systems. He was awarded the best paper award at IEEE ICRC’17 for the paper A Thermodynamic Treatment of Intelligent Systems. I also speak with workshop participant […]
