A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

The company says it has cracked the code for error correction and is building a modular machine in New York state.

VeriSilicon’s GPGPU-AI computing processors are architected to tightly integrate GPGPU computing with AI accelerator at fine-grained levels. The advantages of this architecture have already been ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

This paper describes the design analysis and optimization of a novel 3-degrees of freedom (DOF) wearable parallel robot developed for ankle rehabilitation treatments. To address the challenges arising ...

TFLN wafer line is well-positioned for aggressive push into cloud and supercomputing, AI model training and inference, expert says Reading Time:3 minutes Why you can trust SCMP 5 Zhang Tong in ...

In this project, we aim to design a water pipeline network for a residential society, represented as a collection of houses on a 2D plane. Each house is a unique point on this plane, defined by its ...

Linear discriminant analysis (LDA) may yield an inexact solution by transforming a trace ratio problem into a corresponding ratio trace problem. Most recently, optimal dimensionality LDA (ODLDA) and ...

But given the aforementioned blog post, that now seems unlikely. If we drew a parallel with the Windows 10 lifespan, we'd get Windows 12 in 2027. Yeah, let's go with that!

In ( Castejón et al., 2010 ) a multi-objective optimization was performed in order to design a robotic arm for service tasks. In Zhen et al. (2010) the optimization of the stiffness and dexterity of a ...

In this talk, we propose the combinatorial fusion analysis (CFA) with generative AI to address and mitigate challenges in detecting low-profile and evolving threats in particular in imbalanced ...

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you ...