Evolution is always happening — so why can't we see it? A biologist explains the timescale problem, election pressure, and ...

Artificial intelligence is the transformative, strategic technology of the early 21st century. It is significantly reshaping ...

The artificial intelligence didn’t beg for its life. It did something more familiar, more human and, somehow, more unnerving. It threatened to ruin somebody else’s. In a 2025 test by Anthropic, the ...

Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which often ...

Why did humans evolve the eyes we have today? While scientists can't go back in time to study the environmental pressures that shaped the evolution of the diverse vision systems that exist in nature, ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and reverse-engineer the rules. Alexander Mordvintsev showed me two clumps of pixels on ...

Although AI (artificial intelligence) has entered the mainstream of industry and culture only in recent years, AI has existed for decades, with many historical accounts citing the early 1950s as the ...

Summary: A new study explores how brain networks differ between patients in early and chronic stages of psychosis, shedding light on symptom evolution. Researchers mapped connectivity patterns and ...

Sometimes in the rush to explore our interactions with neural nets (often in the form of LLMs) we forget to think about our own operating system and how it works. Of course, scientists did spend a lot ...

The big picture: You can't go five minutes these days without hearing about AI this and AI that. But have you ever wondered how we got here? The credit largely goes to a groundbreaking neural network ...

One of the most defining characteristics of neural networks is their ability to learn from data, distinguishing them from traditional AI systems that rely on explicit programming. This learning ...