Unite.AI

The End of Tabula Rasa: How Pre-Trained World Models are Redefining Reinforcement Learning

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Inside Ring-1T: Ant engineers solve reinforcement learning bottlenecks at trillion scale

Ant Group, an affiliate of Alibaba, released Ring-1T which it says is the first trillion parameter open-source model.
Tech Xplore

Minimal pixels achieve the highest possible resolution visible to the human eye

As the transfer of information in our society becomes more complex, so the demand increases for screens that transmit images ...
IEEE

Hyperspectral Pansharpening Enhanced With Multi-Image Super-Resolution for PRISMA Data

Abstract: Hyperspectral imagery provides rich spectral information, but commonly suffers from low spatial resolution. This problem can be addressed with hyperspectral pansharpening, which benefits ...
IEEE

Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields

Abstract: Reinforcement learning (RL) has enabled robots to develop complex skills, but its success in image-based tasks often depends on effective representation learning. Prior works have primarily ...