Two-step quantitative problems involve scenarios where you need to perform two distinct mathematical operations to find the solution. These problems are more complex than single-step problems because ...

In 1945, as the first atomic bomb exploded in the New Mexico desert, Enrico Fermi stood miles away, holding a few scraps of paper. As the shockwave rolled toward him, he dropped the papers and watched ...

That’s how Meta’s chief AI scientist Yann LeCun described the blowback after OpenAI researchers did a victory lap over GPT-5’s supposed math breakthroughs. Google DeepMind CEO Demis Hassabis added, ...

We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new research project is asking the same question about AI. When you purchase ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

The Netflix series based on Liu Cixin's sci-fi novel aired its first season in 2024 and was renewed—but there haven't been many updates since. Reading time 1 minute Liam Cunningham as Wade, Jess Hong ...

See the world through the lens of science. Sign up for our free, daily newsletter Today in Science. As a child of the 1990s, I couldn’t avoid the game-turned-best-seller Tetris. Launched in 1984 by ...

Consider someone who’s perfectly content with their office chair. It’s not ergonomic, it doesn’t have lumbar support, but it works. Then, during a meeting or a visit to a friend’s office, they sit in ...

Catherine Martin is a news and feature writer for Movies and TV at Game Rant. She previously worked at the International Business Times and Epicstream, covering entertainment news, including TV shows, ...

A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations. Polynomials are equations involving a variable raised to powers, such ...

Abstract: Quantum search algorithms, such as Grover's algorithm, are anticipated to efficiently solve constrained combinatorial optimization problems. However, applying these algorithms to the ...