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2024

Unlocking Potential: CNAS EVP Paul Scharre Delves into Large Language Models and Emerging AI Tech

DoD Insights on Large Language Models and AI: The Military Application Angle

In a recent four-day symposium in Washington, top officials from the Department of Defense (DoD) sat down with tech industry thought leaders to mull over the potential military usage of Large Language Models (LLMs) and other burgeoning artificial intelligence (AI) technologies.

Boosting Semiconductor Production: Commerce Department Invests $1.5B in GlobalFoundries

Department of Commerce to Invest $1.5B in GlobalFoundries for Expansion of Chip Manufacturing

GlobalFoundries is set to receive a significant investment from the Department of Commerce through the CHIPS and Science Act. Valued at a potential $1.5 billion, this financial injection intends to expand GlobalFoundries’ manufacturing capabilities to enhance semiconductor chip production for various applications in automotive, defense, aerospace, artificial intelligence, and the Internet of Things among others. The original article can be found here .

Charting the Pentagon’s Course: Scale AI Leading Testing and Evaluation of Large Language Models Scale AI, in collaboration with the Pentagon’s Chief Digital and Artificial Intelligence Office, is spearheading the development of a comprehensive framework for testing and evaluating large language models. The innovative one-year contract aims to deploy AI safely, measure model performance, offer real-time feedback for warfighters, and create specialized evaluation sets for military support applications. This cutting-edge initiative addresses the potential of generative AI to revolutionize military planning and decision-making. By working on developing holdout datasets, engaging DOD insiders, and automating model assessments, the partnership endeavors to enhance the robustness and resilience of AI systems in classified environments. Scale AI’s strategic approach towards testing and evaluating generative AI models will enable the DoD to harness the technology responsibly and support military applications effectively.

Scale AI: Charting the Pentagon’s Course in Testing and Evaluating Large Language Models

San Francisco-based Scale AI has received a one-year contract from the Pentagon’s Chief Digital and Artificial Intelligence Office (CDAO) to develop a comprehensive testing and evaluation (T&E) framework for generative AI.

Enhancing Military Efficiency: Scale AI Collaborates with Pentagon to Evaluate Generative AI Technologies Scale AI has been chosen by the U.S. Department of Defense to assist in the testing and evaluation of generative artificial intelligence for military applications. This partnership, announced by the California-based company, will focus on producing benchmarks for large language models, a subtype of generative AI that can generate text, images, and more based on statistical relationships among input data. The Defense Department’s interest in generative AI has been increasing, although its potential applications and risks are subject to ongoing discussions. Scale AI’s founder, Alexandr Wang, highlighted the importance of adopting secure and verifiable AI models to address issues like misinformation, bias, and data breaches. By leveraging Scale’s test-and-evaluation procedures, the DOD aims to grasp the capabilities and limitations of generative AI technologies to ensure responsible deployment. This strategic collaboration underscores the significance of data quality and innovation in enhancing AI systems for military use.

Critical Assessment of Pentagon’s Data Policies: Insight from Scale AI’s Alexandr Wang

Last year, Scale AI’s Chief Executive, Alexandr Wang, brought to light some pressing issues during a congressional meeting. He emphasized that the Pentagon was being held back by “outdated data-retention and management policies.”

Innovative AI-Based Malware Classification Technique by LANL Researchers

New AI-Based Technique for Classifying Malware: A Game-Changer from LANL Researchers

Researchers at the Los Alamos National Laboratory (LANL) recently developed an innovative malware classification technique for Microsoft Windows, employing artificial intelligence (AI) to identify and chart new malware families, breathing new life into cyber defense strategies.

Revolutionary AI Drones: A Comparative Study of National Strategies and Implementation Efforts

The Viability of AI Drones: A Comparative Study of Russia, Ukraine, the US, and China

In the autumn of last year, both Russia and Ukraine claimed to have deployed drones capable of target tracking using AI algorithms. However, recent expert analysis implies that neither side could operationalize this tech to an extent suitable for warfare. Interestingly, the United States and China might have a chance.

Revolutionizing AI Policy: House Leaders Unveil New Bipartisan Task Force

Unveiling a New Bipartisan AI Task Force: A Collaborative Step Towards AI Policy

Speaker Mike Johnson and Minority Leader Hakeem Jeffries have announced their selection of 24 members to serve on a bipartisan task force on artificial intelligence (AI). This group will be responsible for producing “forward-looking recommendations and bipartisan policy” concerning the evolving technology.

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