3. Indiana becomes the third straight Big Ten team to win the national championship, the first time that's happened since ...

Abstract: A floating-point fully homomorphic encryption (FPFHE) is proposed, which is based on torus fully homomorphic encryption equipped with programmable bootstrapping. Specifically, FPFHE for ...

Abstract: In this brief, we propose a fully pipelined divider for single-precision floating-point numbers based on a universal piecewise linear (PWL) approximation method and a modified Goldschmidt ...

Why floating point is important for developing machine-learning models. What floating-point formats are used with machine learning? Over the last two decades, compute-intensive artificial-intelligence ...

Multiplication on a common microcontroller is easy. But division is much more difficult. Even with hardware assistance, a 32-bit division on a modern 64-bit x86 CPU can run between 9 and 15 cycles.

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.

Loves emerging tech, languages such as Python, JavaScript, Solidity & Haskell. Writes about Web3. Works at Lumos Labs. We’ve all learned about floating point numbers in school. As opposed to integers ...

The Oklahoma City Thunder escaped Memphis with a win on Saturday, beating the lowly Grizzlies for the second time this week. However, unlike Sunday's wire-to-wire dominating victory, the Thunder had ...

Feature/Enhancement RequestThis issue is made to request a feature or an enhancement to an existing one.This issue is made to request a feature or an enhancement to an existing one. .bytes() method on ...

AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn’t a viable option for inference on the edge, where ...