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U.S. National Science Foundation

Directorate for Engineering
     Division of Electrical, Communications and Cyber Systems

Intel Corporation

Full Proposal Deadline(s) (due by 5 p.m. submitting organization’s local time):

     January 22, 2025

Important Information And Revision Notes

Revisions from NSF 23-541 include: 

Submission of a Letter of Intent (LOI) is not required for this ASCENT competition. The program now accepts both types of collaborative proposals described in Chapter II.E.3 of the NSF Proposal & Award Policies & Procedures Guide. The topic at the heart of the proposal must lie within the scopes of at least two of the three ECCS clusters (CCSS, EPMD, EPCN). Research proposals spanning three clusters are highly encouraged. In FY25 ASCENT will focus on wafer-scale or panel-scale heterogeneous integration of innovative semiconductor systems through advanced packaging. Novel ideas to advance wafer-scale or panel-scale heterogeneous integration technologies are also encouraged. Intel is a funding partner.

Any proposal submitted in

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NSF 25-012

October 17, 2024

Dear Colleagues:

America’s leadership in the bioeconomy is vital to U.S. global competitiveness, security, and economic growth. The U.S. National Science Foundation (NSF) has long supported discoveries in biotechnology, leading to development of novel biopolymers, green fluorescent proteins, gene editing techniques, and other innovations that have advanced fields from biomanufacturing to health care to food production. In response to the Executive Order on Advancing Biotechnology and Biomanufacturing Innovation for a Sustainable, Safe and Secure American Bioeconomy1, as well as the CHIPs and Science Act2, NSF seeks to create opportunities for basic researchers to participate alongside more translationally focused research and development institutes to support the growth of biomanufacturing within the U.S.

With this Dear Colleague Letter, NSF announces its partnership with BioMADE, one of the Manufacturing Innovation Institutes

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Lab scientists spend much of their time doing laborious and repetitive tasks, be it pipetting liquid samples or running the same analyses over and over again. But what if they could simply tell a robot to do the experiments, analyze the data, and generate a report? 

Enter Organa, a benchtop robotic system devised by researchers at the University of Toronto that can perform chemistry experiments. In a paper posted on the arXiv preprint server, the team reported that the system could automate some chemistry lab tasks using a combination of computer vision and a large language model (LLM) that translates scientists’ verbal cues into an experimental pipeline. 

Imagine having a robot that can collaborate with a human scientist on a chemistry experiment, says Alán Aspuru-Guzik, a chemist, computer scientist, and materials scientist at the University of Toronto, who is one of the project’s leaders.

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Nature Career Guides

Browse collections of career guides. Learn about the mission and achievements of the world’s leading research organisations, find out more about their job roles, courses, and events, alongside independently written editorials that cover advancements and career opportunities in your field. 

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