The shift from static inference to real-time autonomous agents is driving explosive demand for custom silicon, low-latency ...

An endpoint will know the final size for a stream when the receiving part of the stream enters the "Size Known" or "Reset Recvd" state (Section 3). The receiver MUST use the final size of the stream ...

In a landscape where data lakes and warehouses have long been treated as distinct and often incompatible tools, the lakehouse architecture emerges as a bridge fusing the flexibility of one with the ...

With AWS Lambda, Snowflake and Apache Airflow, data teams can now handle challenging tasks, quickly scale when needed and reduce the amount of infrastructure they manage. This development enhances ...

By leading the development of a resilient, real-time data architecture, Gowtham laid the foundation that allows voice AI systems to seamlessly integrate with point-of-sale platforms, customer ...

The current exponential advancements in the Internet of Things (IoT) technologies pave a vast intelligent computing platform by integrating smart objects with sensing, processing and communication ...

We propose a dual-stream Transformer architecture that synergistically processes these modalities. It coordinates two specialized pathways: a spectral-spatial Transformer extracts fine-grained ...

Vector-SIMD architectures have gained increasing attention because of their high performance in signal-processing applications. However, the performance of existing vector-SIMD architectures remains ...