AI-enabled control system helps autonomous drones stay on target in uncertain environments

AI-enabled control system helps autonomous drones stay on target in uncertain environments

An autonomous drone carrying water to help extinguish a wildfire in the Sierra Nevada might encounter swirling Santa Ana winds that threaten to push it off course. Rapidly adapting to these unknown disturbances inflight presents an enormous challenge for the drone’s flight control system. To help such a drone stay on target, MIT researchers developed a…

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Agentic AI in the SOC – Dawn of Autonomous Alert Triage

Agentic AI in the SOC – Dawn of Autonomous Alert Triage

Security Operations Centers (SOCs) today face unprecedented alert volumes and increasingly sophisticated threats. Triaging and investigating these alerts are costly, cumbersome, and increases analyst fatigue, burnout, and attrition. While artificial intelligence has emerged as a go-to solution, the term “AI” often blurs crucial distinctions. Not all AI is built equal, especially in the SOC. Many…

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Reinforcement Learning Meets Chain-of-Thought: Transforming LLMs into Autonomous Reasoning Agents

Reinforcement Learning Meets Chain-of-Thought: Transforming LLMs into Autonomous Reasoning Agents

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in logical reasoning remains a challenge. Traditional LLMs, designed to predict the next word, rely on statistical pattern recognition rather than structured reasoning. This limits their ability to solve complex problems…

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