A humanoid robot sits at a control console

Innovative AI Steering Technique Reveals System Vulnerabilities and Paths for Enhancement

In a pioneering breakthrough for artificial intelligence research, a team of scientists has unveiled a novel technique to precisely steer the output of large language models (LLMs) by manipulating specific internal concepts encoded within these models. This innovative approach promises significant advancements in making LLMs more reliable, efficient, and adaptable, while simultaneously shedding light on […]

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Diagram illustrating which LLMs are behind an API and which are open source

Safety in Generative AI

The rapid advancement of generative AI has brought remarkable innovations, from creating realistic images to generating human-like text. However, this power comes with significant responsibility. AI safety is crucial to ensure these systems are used ethically, fairly, and without unintended harm. Without proper safety measures, generative AI can spread misinformation, reinforce biases, or be exploited […]

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A cartoon about an autonomous robot taking a sub-optimal path

Planning & Learning in Robotics

This course covers optimal control fundamentals and their application to motion planning and decision making in robotics. Topics include Markov decision processes (MDPs), dynamic programming, search-based and sampling-based motion planning, value and policy iteration, linear quadratic regulation (LQR), and model-free reinforcement learning.

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