AI is powerful, but it still lacks the flexible, common-sense reasoning of the human brain. To design more intelligent systems—and better understand ourselves—we need to look to biology. Neuroscientist Grace Lindsay suggests the next leap won’t come from more data, but from smarter attention. That means systems—and humans—that: - Coordinate vision, sound, and other inputs in real time - Stay open to the unexpected, not just hyper-focused - Use curiosity to drive learning and

When we focus, switch tasks, or face demanding mental challenges, the brain begins to synchronize its internal rhythms—especially in the midfrontal region. New EEG research shows that people with higher cognitive ability don’t have constantly stronger brain activity. Instead, they display more precise and flexible coordination of slow theta waves at critical moments of decision-making and cognitive control. Like a well-conducted orchestra, the brain brings its networks into s

Attention isn't just in your head—it's a physical dance happening across your cortex. New MIT research reveals that when you lose focus, your brain doesn't hit reset. Instead, neurons perform an elegant rotation, sweeping like synchronized waves across your prefrontal cortex, circling back to where you left off. Researcher Earl Miller compares it to "starlings murmuring in the sky"—hundreds of birds moving as one fluid formation. Your scattered thoughts aren't chaos; they're

The 2017 paper Attention Is All You Need reshaped modern AI by proving that a model built entirely on self-attention—without recurrence or convolution—could learn long-range dependencies efficiently and in parallel, achieving state-of-the-art translation at a fraction of prior computational cost. This Transformer architecture became the foundation for today’s language, vision, and multimodal generative systems, igniting the current AI boom. But while machines thrive on attent