Hudson Institute
PulseAugur coverage of Hudson Institute — every cluster mentioning Hudson Institute across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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US officials warn of China's AI threat, framing race as 'superhero vs supervillain'
US officials are expressing strong concerns about China's advancements in artificial intelligence, framing the competition as a critical race for global leadership. Lawmakers like Brian Mast and Jim Banks have character…
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Pentagon AI use surges to 1.5M personnel, but adoption challenges persist
The U.S. Department of Defense reports a significant increase in AI usage, with 1.5 million personnel now utilizing the technology, up from 80,000 in late 2025. Despite this surge, less than half of the agency's 3.5 mil…
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US trade official criticizes China's practices, faults domestic policy
A senior US trade official, William Kimmitt, has criticized China's trade practices, accusing the nation of using subsidies, dumping, and regulatory barriers to build its industries and capture market share. Kimmitt als…
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Pentagon uses AI to draft congressional reports, saving hundreds of hours · 8 sources tracked
The U.S. Department of Defense is leveraging generative AI tools to draft congressionally mandated reports, significantly reducing the time and resources required. Pentagon officials have highlighted this adoption, noti…
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South Korea develops advanced drone engines to rival US, China
South Korea is developing indigenous engines for collaborative combat aircraft (CCA) and other unmanned aerial vehicles (UAVs). This initiative aims to position the nation among top-tier global producers of advanced dro…
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Developer creates CLI tool to revive stalled AI coding projects
A developer has created a command-line interface tool named `mind` to help users re-engage with AI-assisted coding projects that have been set aside. This tool aims to recover the project's context and the developer's o…
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New EnCAgg method boosts federated learning against model poisoning
Researchers have developed a new method called EnCAgg to improve the robustness of federated learning against dynamic model poisoning attacks. This approach uses a small set of known benign clients as references to accu…
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New MIND framework tackles model-induced label noise
Researchers have introduced MIND, a novel framework designed to tackle model-induced label noise in machine learning. This noise arises from the inherent biases of pre-trained models used for data annotation, leading to…
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New information theory model explains human categorization behavior
Researchers have developed a novel theory of categorization grounded in information theory, offering a rational analysis of how humans categorize information. This new framework was evaluated against classic categorizat…
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Bernie Sanders calls for global AI treaty to curb runaway technology
Senator Bernie Sanders has called for international cooperation to regulate artificial intelligence, likening its rapid advancement to a "runaway train" without brakes. Speaking at a panel with Chinese scientists, Sande…
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US munitions depleted by Iran conflict, raising Taiwan war concerns
Pentagon insiders are reportedly leaking information suggesting that U.S. munitions stockpiles, particularly precision-guided weapons, have been significantly depleted due to the conflict in Iran. This depletion raises …
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Quantum computing race intensifies, impacting AI, security, and global competition
Quantum computing is a fundamentally different technology from classical computers, designed to simulate nature and solve specific problems, not just to be faster. Recent breakthroughs in error correction and hardware h…