A new plasma framework reframes ignition, sustainment, and degradation, redefining energy behavior for next-generation ...
South Carolina’s state legislature is one of 17, mainly in heavily Republican states, that is moving to handcuff state ...
What does it take to land a top recruiting class in the Big Ten? For one program, the answer is a $12 million spending spree and 35 signatures. And it’s not the team you think.
Abstract: State-space models (SSMs) are a powerful statistical tool for modelling time-varying systems via a latent state. In these models, the latent state is never directly observed. Instead, a ...
Abstract: Image restoration is a critical task in low-level computer vision, aiming to restore high-quality images from degraded inputs. Various models, such as convolutional neural networks (CNNs), ...
While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.
State Space Models (SSMs) have emerged as efficient alternatives to Transformers, mitigating their quadratic computational cost. However, the application of Parameter-Efficient Fine-Tuning (PEFT) ...
Diffuse Everything is a general framework for building multimodal diffusion models for data of mixed modality, with a minimum need for tokenizers/VAEs/extra encoders. Diffuse Everything is built on ...
When: Denver Borough Council meeting, Jan. 12. What happened: Council discussed the potential to construct a new municipal building, public works complex and garage. Background: Mike Hession, borough ...