Speculative decoding has emerged as a potential solution for speeding up inferences using large language models (LLMs).

Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...

Accurate preoperative differentiation between MSK stones and non-MSK multiple kidney stones remains challenging, yet it is essential for effective clinical decision-making. This study aims to develop ...

We developed a deep attitude estimation model using an encoder-decoder architecture tailored for 6-axis IMUs. This model features a temporal channel attention mechanism that dynamically adjusts sensor ...

If you’re running on the bleeding edge of Windows, using the Windows Insider program to install developer builds, you may ...

Describe the bug dynamic_config.py not working properly and cause this error ...

In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in ...

Simple and Satisfying Old iPhone Deep Clean!! Council’s final warning for Frankston mansion owner’s sea wall William and Kate release new photo of George to celebrate his 12th birthday ...

In 2023, a train carrying hazardous materials derailed in East Palestine, Ohio. In 2025, a series of destructive wildfires ravaged Los Angeles. In both cases, a toxic plume—a cloud of harmful ...

I took a 40% pay cut to make a career pivot. I had regrets at first, but it led me to my dream job at Meta. Freddie Freeman Immediately Took Himself Out of Dodgers Game After Being Hit By Pitch ...

This paper describes an inning summarization method for a baseball game by using an encoder-decoder model. Each inning in a baseball game contains some events, such as hits, strikeouts, homeruns and ...