AI-Powered Solar Eruption Forecasting System

It could boost early-warning detection of these eruptive events.

New Jersey Institute of Technology (NJIT) researchers harness artificial intelligence for unprecedented insights into conditions in the Sun’s lower atmosphere driving some of the solar system’s most powerful explosions, capable of disrupting critical infrastructure on Earth. NJIT researchers have been awarded a $593,864 National Science Foundation grant to develop a new AI system for more quickly and accurately predicting when explosive space weather events on the Sun will strike, from solar flares to coronal mass ejections (CMEs).

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Open-source companion bot reacts to touch using simple, low-cost hardware

LiFi Beams 10Gbps Internet Through Windows

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Humanoid Launches UK’s First Industrial Humanoid Robot, HMND 01 Alpha

Built in record time, Alpha targets labour shortages with warehouse-ready automation.

New Calculus Method Boosts Robot Agility

Yale researchers develop a faster way for robots to compute derivatives, unlocking smoother, more proactive movements.
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