AI-Ready Manufacturing: Data, Quality, and the Digital Future
Today, manufacturing is largely shaped by supply chain volatility, complex labor dynamics, and—like most global industries—the rise of AI.
Today, manufacturing is largely shaped by supply chain volatility, complex labor dynamics, and—like most global industries—the rise of AI.
This illustration featuring earthquake simulation data from the San Francisco Bay Area shows how seismic energy is shaped and directed by local geology, and how buildings and infrastructure respond to intense ground shaking.
Simulations still can’t predict precisely when an earthquake will happen. Still, with the incredible processing power of modern exascale supercomputers, they can now predict how they will happen and how much damage they will likely cause.
Software selection, implementation, and ongoing maintenance are critical stages in the life cycle of biomedical software systems such as asset and calibration management platforms.
A Rhagovelia water strider with its fans open in the water.
A new study explains how tiny water bugs use fan-like propellers to zip across streams at speeds up to 120 body lengths per second. The researchers then created a similar fan structure and used it to propel and maneuver an insect-sized robot.
Imagine a bustling conference room where employees aren’t just listening to lectures but actively experimenting with cutting-edge tools, tackling real-world challenges and discovering new ways to revolutionize their workflows.
What if your quality system could detect and initiate corrective actions for equipment deviations before they affect product quality?
In July 2024, CrowdStrike rolled out a software update that crashed more than 8 million Windows systems worldwide. The faulty release disrupted hospitals, grounded flights, halted banking operations, and affected government services.
Organizations today face a problem that’s both simple and enormous: They operate in a world that moves faster than the systems used to track it.
Manufacturers are making more types of products than ever before.
Guangwen Zhou, a SUNY distinguished professor at the Thomas J. Watson College of Engineering and Applied Science and deputy director of Binghamton University's Materials Science and Engineering program, is co-author on a new study in Nature that could lead to greener and faster metal production.
Most metals found in nature are actually in their oxide forms.
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