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Do boards understand their new role in cybersecurity?
Julie Ragland was CIO of vehicle manufacturing company Navistar, and has held IT leadership roles at Adient and Johnson Controls. To Ragland, who also sits on several state agency and non-profit boards, one of the greatest responsibilities for today’s boards is in governing cyber security risk. And while board members are generally tuned in to…
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There are more than 120 AI bills in Congress right now
More than 120 bills related to regulating artificial intelligence are currently floating around the US Congress. They’re pretty varied. One aims to improve knowledge of AI in public schools, while another is pushing for model developers to disclose what copyrighted material they use in their training. Three deal with mitigating AI robocalls, while two address…
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Contrastive Twist Learning and Bidirectional SMC Bounds: A New Paradigm for Language Model Control
Large language models (LLMs) have made significant success in various language tasks, but steering their outputs to meet specific properties remains a challenge. Researchers are attempting to solve the problem of controlling LLM generations to satisfy desired characteristics across a wide range of applications. This includes reinforcement learning from human feedback (RLHF), red-teaming techniques, reasoning…
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Optimizing AI Safety and Deployment: A Game-Theoretic Approach to Protocol Evaluation in Untrusted AI Systems
AI Control assesses the safety of deployment protocols for untrusted AIs through red-teaming exercises involving a protocol designer and an adversary. AI systems, like chatbots with access to tools such as code interpreters, become increasingly integrated into various tasks, ensuring their safe deployment becomes more complex. While prior research has focused on building robustly safe…
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Did a Chinese University Hacking Competition Target a Real Victim?
Participants in a hacking competition with ties to China’s military were, unusually, required to keep their activities secret, but security researchers say the mystery only gets stranger from there.
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Es hora de que los CIO piensen en la criptografía postcuántica
Ante la amenaza de que los ordenadores cuánticos rompan los actuales métodos de cifrado, la adopción de la criptografía poscuántica es ahora una prioridad crítica, sobre todo para los sectores que manejan datos confidenciales, según revela un informe reciente. El estado actual y futuro de la cuántica es una de las seis tendencias que recoge…
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Most US Teens Use Generative AI. Most of Their Parents Don’t Know
A news survey shows that AI use among high schoolers has exploded in recent months, as educators and parents struggle to keep up.
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An Extensible Open-Source AI Framework to Benchmark Attributable Information-Seeking Using Representative LLM-based Approaches
With the success of LLMs in various tasks, search engines have begun using generative methods to provide accurate answers with in-line citations to user queries. However, generating reliable and attributable answers, especially in open-ended information-seeking scenarios, poses challenges due to the complexity of questions and the broad scope of candidate-attributed answers. Existing methods typically focus…
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A Systematic Literature Review: Optimization and Acceleration Techniques for LLMs
Large language models (LLMs) have seen remarkable success in natural language processing (NLP). Large-scale deep learning models, especially transformer-based architectures, have grown exponentially in size and complexity, reaching billions to trillions of parameters. However, they pose major challenges in computational resources and memory usage. Even advanced GPUs struggle to handle models with trillions of parameters,…
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MPPI-Generic: A New C++/CUDA library for GPU-Accelerated Stochastic Optimization
Stochastic optimization problems involve making decisions in environments with uncertainty. This uncertainty can arise from various sources, such as sensor noise, system disturbances, or unpredictable external factors. It can real-time control and planning in robotics and autonomy, where computational efficiency is crucial for handling complex dynamics and cost functions in ever-changing environments. The core problem…