Disrupting malicious uses of AI by state-affiliated threat actors
We terminated accounts associated with state-affiliated threat actors. Our findings show our models offer only limited, incremental capabilities for malicious cybersecurity tasks.
We terminated accounts associated with state-affiliated threat actors. Our findings show our models offer only limited, incremental capabilities for malicious cybersecurity tasks.
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Neural operators, specifically the Fourier Neural Operators (FNO), have revolutionized how researchers approach solving partial differential equations (PDEs), a cornerstone problem in science and engineering. These operators have shown exceptional promise in learning mappings between function spaces, pivotal for accurately simulating phenomena like climate modeling and fluid dynamics. Despite their potential, the substantial computational resources…
A groundbreaking development is emerging in artificial intelligence and machine learning: intelligent agents that can seamlessly adapt and evolve by integrating past experiences into new and diverse tasks. These agents, central to advancing AI technology, are being engineered to perform tasks efficiently and learn and improve continuously, thereby enhancing their adaptability across various scenarios. One…
In the past year, large vision language models (LVLMs) have become a prominent focus in artificial intelligence research. When prompted differently, these models show promising performance across various downstream tasks. However, there’s still significant potential for improvement in LVLMs’ image perception capabilities. Enhanced perceptual abilities for visual concepts are crucial for advancing model development and…
In the challenging fight against illegal poaching and human trafficking, researchers from Washington University in St. Louis’s McKelvey School of Engineering have devised a smart solution to enhance geospatial exploration. The problem at hand is how to efficiently search large areas to find and stop such activities. The current methods for local searches are limited…
This week the AI buildout stopped being about models and became about balance sheets. Anthropic committed $19 billion to a single data center, SK Hynix raised $28 billion, and SoftBank kept pouring in $87 billion, even as a leaked Treasury draft warned the whole thing rhymes with the dot-com crash. Governments moved too: Illinois made…