The Intelligence Advanced Research Projects Agency (IARPA) is seeking to develop and incorporate “novel technologies” that will efficiently probe large language model (LLM) AI services – like ChatGPT – in an effort to detect and characterize an emerging tool’s threat modes and vulnerabilities.
Dr. Catherine Marsh, director of the Intelligence Advanced Research Projects Activity (IARPA) part of the Office of the Director of National Intelligence, talked about the value – in limited doses – of failure as an expected and necessary outcome of the difficult research areas that her organization was created to take on with the help of industry and academia.
President Biden intends to nominate Stacey Dixon, an intelligence community veteran and current deputy director of the National Geospatial-Intelligence Agency (NGA), to serve as the principal deputy director in the Office of the Director of National Intelligence (ODNI), the White House announced today.
The Intelligence Advanced Research Projects Activity (IARPA), the research arm of the Office of the Director of National Intelligence, has launched a multi-year research effort aimed at expanding wide-area satellite imagery technologies.
The Intelligence Advanced Research Projects Activity (IARPA) issued a Broad Agency Announcement (BAA) seeking information on developing software capable of whole-body (WB) identification at long-range and from elevated platforms.
The Intelligence Advanced Research Projects Activity (IARPA) recently launched the Geopolitical Forecasting Challenge 2, which encourages solvers to develop innovative methods for utilizing crowdsourced information to create global issue forecasts.
With the increasing democratization of technology, Deputy Director of CIA Science and Technology Dawn Meyerriecks said that intelligence integration and freeing up intellectual property (IP) are of mounting importance to innovating solutions that bolster national security.
The Intelligence Advanced Research Projects Activity (IARPA) office released a draft solicitation for innovative solutions for automated broad-area search, monitoring, and analysis of anthropogenic activities – those related to human activity – within its Space-based Machine Automated Recognition Technique (SMART) program.
An important step in advancing artificial intelligence (AI) initiatives includes fortifying algorithms for AI, which are often brittle and “not good,” said Dr. John Beieler, program manager at the Intelligence Advanced Research Projects Activity (IARPA).
The National Security Agency is broadening the menu of technologies it wants to help the private sector develop.
Defense Department (DoD) officials voiced sometimes conflicting ideas today about how the agency should migrate legacy systems to the cloud.
The Intelligence Advanced Research Projects Activity (IARPA) announced it will host a Proposers’ Day on Feb. 26 for its Secure, Assured, Intelligent Learning Systems (SAILS) program, and its Trojans in Artificial Intelligence (TrojAI) program.
From a cybersecurity perspective, the strengths of artificial intelligence (AI) and machine learning (ML) are also weaknesses. The capacity to crunch massive amounts of data, identify patterns, and learn while working covers a lot of territory, but also leaves room for vulnerabilities, which Pentagon and Intelligence Community (IC) researchers want to close up. And the job doesn’t look easy.
The IC’s top research arm, the Intelligence Advanced Research Projects Activity (IARPA), wants to be able to get the gist anywhere and anytime. They are inviting researchers from around the world in industry and academia to use machine learning to develop algorithms for cross-lingual information retrieval capable of extracting answers from little-known foreign languages to questions posed in English. IARPA’s Open Cross-language Information Retrieval (CLIR) Challenge is inviting participants to compete for prizes while working on a kind of fast-working translator that can interpret other languages while using a minimal amount of training data, focusing particularly on what it calls “computationally underserved languages.”
The intelligence community’s (IC) stock in trade has always been knowing what nobody else knows. Now it’s looking to tap into new technology to expand its ability to forecast geopolitical events in several ways, including finding out what everybody knows.