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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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A U.S. National Science Foundation-supported team is designing and building three identical CubeSats, or shoebox-sized satellites, to study space weather and demonstrate new technologies.

The CubeSats are part of the Space Weather Atmospheric Reconfigurable Multiscale Experiment (SWARM-EX). “The thermosphere and ionosphere system — the start of what we often think of as ‘outer space’ — is a highly variable and complex region of our atmosphere contributing to space weather,” said Scott Palo, a professor at the University of Colorado.

The ionosphere consists of charged particles and overlaps with the neutral thermosphere. During space weather storms, charged particles collide with high-latitude atoms and molecules in the thermosphere, releasing photons, which we can observe as bright, colorful auroral displays. But space weather can also interfere with satellite electronics, radio communications, GPS signals, spacecraft orbits and even electrical power grids on Earth. ”SWARM-EX will collect data to improve space weather forecasting through a fundamental understanding of the key processes, thus reducing the potential negative impact of space weather on critical space systems,” said Palo.

SWARM-EX’s three CubeSats will have specialized instruments to measure both the neutral and charged components of the Earth’s upper atmosphere. Their onboard radios will allow all three satellites to simultaneously send back data to a single ground station when flying in close formation. Each CubeSat will also have a cold gas propulsion system that the

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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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