Anticipated Release Date: Q2FY25 Develop diagnostic and detection assays, platforms, or devices to sense exposures of emerging toxins, to include naturally occurring (e.g. marine, fungal, snake venom, small molecules) or synthetically-derived threats. Responding to this opportunity Read More
Due: August 16, 2024 The desired objective is to provide private sector and government with a secure, scaled, and efficient platform that delivers the following user experiences for discovering/matching capabilities and/or needs across multiple data Read More
Due: September 6, 2023 The Smart Cities – Smart Bases Innovation Challenge wants to know how YOU can deliver cutting-edge, dual-use technology to address the overlapping technical, environmental, and security challenges facing both smart cities and smart Read More
Due: September 27, 2024 This 5-day boot camp prepares medtech, digital health, and healthcare technology startups to raise their first round from institutional investors. We equip founders with the know-how to create a capital ready Read More
A team of researchers at Tohoku University in Japan have developed a new cathode material for rechargeable magnesium batteries (RMBs), enabling efficient charging and discharging at low temperatures. This new material uses an enhanced rock-salt Read More
The SuperLimbs project at MIT aims to improve astronaut mobility on the moon with robotic limbs that will help them stand after falls. This is the latest application of SuperLimbs, which were first developed about Read More
Due: July 24, 2024 Tactical Engagement Simulation System (TESS) Laser Detector. This opportunity requires membership in the TReXII Consortium. This Consortium releases numerous opportunities throughout the year, so even if this one may not be right Read More
Due: July 29, 2024 The objective of this study is to implement some of what was learned in Phase 1 to develop and test the core questions and a module to be added to existing Read More
Researchers at Boston University (BU) have developed an AI model that can predict – with a high degree of accuracy – whether someone with mild cognitive impairment will develop Alzheimer’s-associated dementia within the next six Read More
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