Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing maps

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
Le Lézard

MicroCloud Hologram Inc. Utilizes FPGA to Accelerate Tensor Network Computing to Achieve Quantum Spin Models

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware ...
TMCnet

MicroCloud Hologram Inc. Builds the Industry's First Multi-FPGA Quantum Fourier Transform Simulation Solution

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, launched a brand-new scalable quantum Fourier transform simulator technology based on multi-FPGA and ...
USA Today

How do I learn to parallel park?

Parking is not always an easy task. Sometimes spots are too tight, too small or positioned strangely — not to mention the potential obstacles hindering your perfect parking, like other vehicles, trees ...
Forbes

The LinkedIn Algorithm Change That Could Double Your Reach And Revenue

Forbes contributors publish independent expert analyses and insights. Jodie Cook covers AI, marketing & LinkedIn for coaches & entrepreneurs To master LinkedIn's evolving algorithm, be intentional.
The Conversation

‘AI veganism’: Some people’s issues with AI parallel vegans’ concerns about diet

David Joyner does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
GitHub

Karatsuba Polynomial Multiplication

This is an implementation of the Karatsuba polynomial multiplication algorithm in the LEGv8 assembly language, a RISC ISA part of the ARM architecture family. This was done as my final project for ECE ...
marktechpost

RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication

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 ...
The Next Web

5 impressive feats of DeepMind’s new self-evolving AI coding agent

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 ...
VentureBeat

Meet AlphaEvolve, the Google AI that writes its own code—and just saved millions in computing costs

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...
Scientific Research Publishing

Villegas, F.J. (2007) Parallel Genetic-Algorithm Optimization of Shaped Beam Coverage Areas Using Planar 2-D Phased Arrays. IEEE Transactions on Antennas and Propagation, 55 ...

ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...