Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Forcing an AI system to “play nice” does not automatically make people cooperate. In one set of simulations, it barely moved ...

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

In many real-world systems, such as fireflies flashing, Japanese tree frogs croaking, magnetic Janus particles, neurons firing, and in various engineered systems like drone swarms and wireless sensor ...

As models get better and platforms expand horizontally, what do you still own that remains durable and defensible?

Overview: AI companies face rising theft through model extraction, fake accounts, and stolen credentials.Research shows that model copying can achieve nearly 80 ...

For years, the Prairie Pothole Region has bothered me in a very specific way. On a map, it looks like a normal landscape: ...

People are questioning if the architecture of American healthcare can create any living, breathing incentive for ...

UI and UX design have changed dramatically over the past two decades. What began as static webpages with minimal interaction ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

"Glass" has a unique and distinct meaning in physics—one that refers not just to the transparent material we associate with window glass. Instead, it refers to any system that looks solid but is not ...