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AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete PerformanceA new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
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Tech Xplore on MSNTo explore AI bias, researchers pose a question: How do you imagine a tree?To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our ...
One key activity that teachers learned, known as Pasta Land, helps students understand how computers use decision trees to ...
The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...
2d
AZoSensors on MSNFish Freshness: How AI and Biosensors Could Make a DifferenceCombining AI with paper-based sensors, this research offers a new approach to seafood freshness assessment, ensuring quality ...
Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...
Under chief operating officer Sumair Mirza, the humanitarian agency is proving non-profits can also be innovative ...
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Creative Bloq on MSNHow to get started in game design: 10 tips for successHaving almost made a game doesn't help you become a game designer. Start out with the determination to see your first game through to the end. Finishing a game requires self-motivation, but it will in ...
In the age of AI, food safety and quality assurance pros are the new data detectives. Purni Wickramasinghe of Chick-fil-A ...
A common AI fine-tuning practice could be unintentionally poisoning your models with hidden biases and risks, a new Anthropic study warns.
Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems ...
Contributor Content The connected fitness industry has spent the past decade digitizing traditional gym experiences, ...
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