One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
We asked a sampling of industry engineers and users for their perspectives on the evolution of codec designs and applications ...
In a special long read comment piece, Martha Tsigkari and Sherif Tarabishy consider how the need for critical human ...
Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...
Experts gave AI 10 math problems to solve in a week. OpenAI, researchers and amateurs all gave it their best shot ...
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Why AI may overcomplicate answers: Humans and LLMs show 'addition bias,' often choosing extra steps over subtraction
When making decisions and judgments, humans can fall into common "traps," known as cognitive biases. A cognitive bias is ...
By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.
Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...
After being laid off, this professional accepted a 50% pay cut to stay afloat. Tech salaries rose 15% in 2025. This worker beat that trend. They faced a 50% layoff pay cut. They upskilled daily. Three ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
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