Abstract: Matrix multiplication computation (MMC) is a fundamental operation with various applications, including linear regression, k-nearest neighbor classification and biometric identification.

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Streaming has undoubtedly changed how we watch movies. While nothing can replace the theatrical experience, the pros of streaming ultimately outweigh the cons. That being said, the prices are getting ...

Honkai: Star Rail’s 3.0 update added a new type of collectible to the game: nymphs in Amphoreus. These critters are scattered around the maps, with each map featuring a “Garmentmaker” looking to find ...

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 ...

John, the CRO of a private equity-backed tech company, faced mounting pressure to meet sky-high sales targets tied to an acquisition. He knew the goals he was given were unachievable. Saying yes ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

With the impact of climate change, countries are seeking to expand their energy matrix and find alternatives that are both sustainable and efficient. Costa Rica has the potential to become a leader in ...

Since homomorphic encryption enables SIMD operations by packing multiple values into a vector of operations and enabling pairwise addition or multiplication operations, one (old) conventional method ...