autonomous
Can AI really code? Study maps the roadblocks to autonomous software engineering
Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled code, migrating legacy systems, and hunting down race conditions, so that human engineers can devote themselves to architecture, design, and the genuinely novel problems still beyond a machine’s reach. Recent advances appear to have nudged that future tantalizingly close, but…
AI shapes autonomous underwater “gliders”
Marine scientists have long marveled at how animals like fish and seals swim so efficiently despite having different shapes. Their bodies are optimized for efficient, hydrodynamic aquatic navigation so they can exert minimal energy when traveling long distances. Autonomous vehicles can drift through the ocean in a similar way, collecting data about vast underwater 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…
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…
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…
Startup’s autonomous drones precisely track warehouse inventories
Whether you’re a fulfillment center, a manufacturer, or a distributor, speed is king. But getting products out the door quickly requires workers to know where those products are located in their warehouses at all times. That may sound obvious, but lost or misplaced inventory is a major problem in warehouses around the world. Corvus Robotics…