Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...

Social engagement in environmental issues has significantly increased with the rise of social media, which plays a critical role in shaping public perception of climate change. This study examines the ...

The positron emission tomography (PET) problem with Poisson log-likelihood is notoriously ill-conditioned. This stems from its dependence on the inverse of the measured counts and the square of the ...

There might be an opportunity to consolidate. AFAIK, Fermat plus addition chain should be fastest. For our fixed parameter P256 implementation, we invert either modulo p or n. We already have a fixed ...

All legged robots deployed “in the wild” to date were given a body plan that was predefined by human designers and could not be redefined in situ. The manual and permanent nature of this process has ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately ...

According to Google DeepMind, AlphaEvolve has successfully discovered multiple new algorithms for matrix multiplication, surpassing the previous AlphaTensor model in efficiency and performance (source ...

谷歌DeepMind在AI研究领域的最新突破，特别是AlphaEvolve的开发，引起了科技和金融市场的广泛关注。2025年5月14日上午10:00 UTC，谷歌DeepMind通过官方Twitter账号宣布，AlphaEvolve成功识别出多种新的矩阵乘法算法，显著超越了其前身AlphaTensor。这一进展展示了AI在解决复杂 ...