Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a photonic spiking neural system. By enabling fast learning and decision making ...

The challenges, such as opening a door with a round doorknob, started out easy, at least for a human, and progressed to “gold ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

It takes a village to prepare students for a changing workforce, build civic engagement, and help educators solve big ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving ...

No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small adjustments to make sure it doesn't fall over. It ...

Researchers use MEG imaging to show that the brain reactivates "forgotten" memories, but they only reach consciousness if they pulse at a specific rhythm.

Ramp reports AI tools are transforming accounting by automating tasks and enhancing accuracy, crucial for teams facing ...

For decades, formative assessment has been a silent engine for learning—powering insights about student progress and worker ...

The findings suggest that in India, ChatGPT is evolving from a curiosity to a core utility, particularly for coding, learning ...