Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...
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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 developed a new, open-access and machine learning-assisted design tool aimed at ...
People with deep experience get huge productivity gains, while junior employees often can’t tell whether AI‑generated work is ...
AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic indicators and real-time marketplace trends.
Trained on data from NASA's exoplanet-hunting missions, the open-source ExoMiner++ deep learning model uses an advanced ...
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New AI system fixes 3D printing defects in real time
Additive manufacturing has revolutionized manufacturing by enabling customized, cost-effective products with minimal waste. However, with the majority of 3D printers operating on open-loop systems, ...
Ripping out battle-tested infrastructure and starting from scratch – as some emerging protocols propose – is the slowest path ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
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