Abstract: State Space Models (SSMs) and Graph Neural Networks (GNNs) have been demonstrated to be highly effective in visual tasks. Existing vision SSMs capture features in a focused manner through a ...

NEW YORK — Netflix has struck a deal with Warner Bros. Discovery, the legacy Hollywood giant behind "Harry Potter" and "Friends," to buy its studio and streaming business for $72 billion. The ...

A maximum severity vulnerability, dubbed 'React2Shell', in the React Server Components (RSC) 'Flight' protocol allows remote code execution without authentication in React and Next.js applications.

For years, JavaScript has reigned as the undisputed language of the web, powering everything from single-page apps to massive enterprise systems through frameworks like React, Angular, and Vue. But ...

Microsoft has released the first preview of SQL Server Management Studio (SSMS) 22. The preview, announced on September 9, can be installed side-by-side with earlier releases, including SSMS 21, which ...

Microsoft has detailed the upcoming updates for SQL Server Management Studio (SSMS), highlighting both incremental fixes and a new version on the horizon. Microsoft confirmed that the first preview of ...

Abstract: State Space Models (SSMs) are powerful tools for mod-eling sequential data in computer vision and time series analysis domains. However, traditional SSMs are limited by fixed, ...

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

State-space models (SSMs) and transformers dominate the language modeling landscape. However, they are constrained to a lower computational complexity than classical recurrent neural networks (RNNs), ...

As language models scale, balancing expressivity, efficiency, and adaptability becomes increasingly challenging. Transformer architectures dominate due to their strong performance across a wide range ...