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New research by the Times shows that thousands of fatal crashes involving pedestrians could have been avoided with lower hood heights and improved visibility.

STRONG EARTHQUAKE FELT IN CARACAS, VENEZUELA - REUTERS WITNESS

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Makers of Chrome, Edge, Firefox back bot-fraud defense called Private Access Control Tokens

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The scarce thing in a data center is not manpower, but instinct that only comes from years on the floor. Most robotics companies are focused on robots as a productivity amplifiers: 24/7 uptime, five days of work done in two. Few are focused on the potential of robots to change how people work altogether. We wanted to show what it looks like to rethink human-robot collaboration, using AI so a shrinking pool of experts can meet the increasing demands of future infrastructure. The obvious thing to automate is the rote physical work that consumes an expert's attention without needing critical judgment. Cabling tasks are the most common example of this. They're necessary when setting up any rack, but usually one-off, and labor is readily available to address this need. We think this is a good place to start, but the least interesting place to change how people work. Standard operating procedures (SOPs) are how critical infrastructure stays stable, and they're the work that scales worst. The video shows one common procedure: clearing the cables a technician leaves behind after testing, and reconciling the rack to a stable state for the next test. A robot that runs SOPs the same way every time, never skipping a step, keeps the system in a known, predictable state. This reduces the cognitive overhead on experts so they can solve harder problems. What most excites us is robots guiding where an expert's attention should go. In the video, the robot checks the switches with a thermal camera, then makes a judgment on whether the increase in temperature is a real problem or a spurious reading. This instinct requires an expert to synthesize all available background context and accumulated lessons from past failures. This is where we want to double down, and show how human-robot collaboration places scarce expert attention exactly where it matters. More to come. submitted by /u/kuaythrone [link] [Kommentare]