This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Tensordyne has unveiled the Napier processor, an AI accelerator that uses logarithmic ...

eLLM is designed to exploit the architectural strengths of CPUs for inference, and can outperform GPU-based inference on several key metrics: Based on the CPU server profile of "large memory, large ...

Abstract: The growing computational demands of machine learning (ML) workloads have driven the design of ML accelerators aiming at an optimal tradeoff between efficiency and flexibility. A widely ...

In collaboration with NVIDIA, researchers from SGLang have published early benchmarks of the GB200 (Grace Blackwell) NVL72 system, showing up to a 2.7× increase in LLM inference throughput compared to ...

On May 20, 2025, as part of Google I/O, Google DeepMind announced Gemma-3n, a new "open" model optimized for running locally on mobile devices. They uploaded weights to Hugging Face—but in the LiteRT ...

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

Abstract: In distributed matrix multiplication, stragglers present a significant challenge. Coding techniques are often employed to mitigate this issue; however, their effectiveness is typically ...

Light-based devices can reduce the energy consumption of computers, but most rely on lasers, which are expensive to integrate with other technologies. An approach that uses LEDs instead of lasers ...

Speech emotion recognition is challenging due to the subjectivity and ambiguity of emotion. In recent years, multimodal methods for speech emotion recognition have achieved promising results. However, ...

From high-profile leaders such as OpenAI, DeepMind, and Nvidia to specialists like Signifyd and Voxel, these companies are applying AI’s transformative power to an array of tasks. So yes, let’s think ...