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Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...
Artificial intelligence, if carefully designed, could significantly reduce emergency vehicle delays in congested cities ...
Keysight Technologies, Inc. (NYSE: KEYS), today announced the release of the new Machine Learning Toolkit in the latest Keysight Device Modeling Software Suite. This new solution reduces model ...
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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...
Digital Turbine, Inc. (NASDAQ:APPS) Q3 2026 Earnings Call Transcript February 3, 2026 Digital Turbine, Inc. beats earnings expectations. Reported EPS is $0.18, expectations were $0.16. Operator: Good ...
Data integrity is key to the success of any cell therapy program. CDMOs can implement robust data management systems for ...
Paramount Business Jets reports that advances in aviation tech enhance safety by improving turbulence prediction, situational ...
Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational efficiency including improving length of stay and staffing efficiency.
Carbon nanotubes can open and close in response to acidity, guiding water and ions one by one and mimicking how natural cell ...
When water and ions move together through channels only a nanometer wide, they behave in unusual ways. In these tight spaces, water molecules line up in single file. This forces ions to shed some of ...
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