Scientific American

The next AI revolution could start with world models

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

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

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...
New Scientist

Amateur mathematicians solve long-standing maths problems with AI

Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the ...

Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
IEEE

A Neural Network Model Based on Differential Evolution Algorithm for Traveling Salesman Problem

Abstract: This paper presents a novel neural network-based optimization framework, NNDE, to solve the traveling salesman problem (TSP). The core idea is to use a radial basis function network (RBFN) ...
Autoblog

Plug-In Hybrids Have 80% More Problems Than Gas Cars, Consumer Reports Finds

Consumer Reports’ latest annual survey flags the most unreliable PHEVs across multiple segments, including the Mazda CX-90 and Jeep Wrangler 4xe. A plug-in hybrid vehicle (PHEV) offers several ...
IEEE

Motor Neuron Loss Detection Based on EMG Probability Density Function Shape Descriptors

Abstract: EMG interference pattern analysis is routinely used in the assessment of motor neuron loss. We propose systematizing interference pattern analysis by recording an isometric ramp contraction ...