DOE seeks new AI tech
On June 10, the U.S. Department of Energy (DOE) posted a Request for Information (RFI) on AI Technologies that will Drive American AI Leadership. Responses are due by 1:00 p.m. Eastern on July 10.
The Artificial Intelligence & Technology Office (AITO), which was established to serve as the DOE accelerator and coordinator of AI efforts in scientific discovery and technology innovation across the DOE enterprise, is issuing this RFI.
To maintain American leadership in AI, it is not enough to simply develop and adopt AI across DOE’s missions, it is imperative that DOE push the frontiers of AI technologies, creating the next generation architectures, infrastructure, tools and approaches. AITO is exploring ideas to help define future Grand Challenges that will ensure US leadership in AI, with responses sought from academia, industry and national laboratories.
Artificial Intelligence Technology Scope: AI technology spans topic areas including data, hardware, software, and platforms from the smallest sensors to the world’s most powerful supercomputers.
Potential Breakthrough AI Technology Areas: Efforts across government have worked to identify strategic AI research, development, and technology advancements to address sector-specific AI challenges and to advance American leadership in AI. The RFI is expected to focus on advancing novel AI technology breakthroughs to push the frontiers of development that include:
- Novel Methods of Learning (including continuous learning, learning with unlabeled data or less labels, higher-dimensional data multimodal or sparse data, and incorporation of common sense, logic, physics or domain knowledge into AI)
- Development & Validation of Trustworthy AI (e.g.secure, reliable, robust, mitigating unintended bias, and the development of appropriate outputs and understandable fail-safes)
- Applications for and Defenses Against Adversarial AI
- Tools to enable better Data Management and Sharing (e.g. security, accessibility, sharing, management, standards, common platforms and infrastructure)
Full information is available here.
Source: SAM