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

A new study published by TELUS Digital, The Robustness Paradox: Why Better Actors Make Riskier Agents, finds that the use of ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

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

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

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

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: ...

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