Exclusive articles:
Arithmetic Formats for Machine Learning – Report from IEEE WG P3109 – ARITH 2024 [pdf]
Check out the latest advancements in arithmetic formats for machine learning as discussed in the IEEE WG P3109 at ARITH 2024. Download the full report [pdf] to stay informed!
PowerInfer-2: Fast Large Language Model Inference on a Smartphone
Introducing PowerInfer-2, the latest breakthrough in fast large language model inference on a smartphone. This cutting-edge technology allows for seamless and efficient processing, revolutionizing the way we interact with language models on mobile devices.
The questionable use of Artificial Intelligence for job applications
As companies increasingly rely on AI algorithms to filter and assess job applicants, concerns have been raised about bias, discrimination, and lack of transparency in the hiring process. While AI can streamline recruitment, its use in hiring decisions requires careful scrutiny to ensure fairness and equity for all candidates.
The Mythical Non-Roboticist: Wouldn’t it be great if everyone could do robotics?
Imagine a world where robotics is not just for tech experts. The mythical non-roboticist may soon become a reality as accessibility and education in robotics grow.setCellValue wouldn't it be great if everyone could do robotics?
IEEE FP8 Formats for Machine Learning (Draft) [pdf]
The IEEE FP8 Formats for Machine Learning draft proposes standardized formats for floating-point numbers in machine learning operations. This could lead to better interoperability between different systems and improved accuracy in calculations.
