Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

Claude Opus 4.7 launched by Anthropic with advanced coding, automation, and visual reasoning. Explore features, use cases, ...

In October 2024, the announcement of the Nobel Prize in Chemistry left a symbolic scene in the pharmaceutical and biotech ...

The true potential of artificial intelligence is not yet known, but its generative model can empower—reworking old truths and ...

Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic ...

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

Human expertise remains the competitive edge in AI adoption, as organizations use AI-powered workflows, prototyping and ...

For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the ...

Abstract: Diffusion models have achieved excellent success in solving inverse problems due to their ability to learn strong image priors, but existing approaches require a large training dataset of ...

Learn about compound interest. We will look at how to determine the final value, initial value, interest rate and years needed. We will investigate problems compounded continuously, daily, weekly, ...

Some readers may solve the problem procedurally: line up the two numbers, add the ones column, carry the one, and add the tens to get 43. Others might instead notice a creative shortcut: 29 + 14 is ...