Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

See an AMD laptop with a Ryzen AI chip and 128GB memory run GPT OSS at 40 tokens a second, for fast offline work and tighter ...

The future of visual content will belong to those who master not only the art of prompting but also the discipline of ...

Abstract: In this letter, we present a pixel-level predictive sampling method for image sensing and processing to reduce the computing overhead for power-limited image sensing systems. The predictive ...

Linus Torvalds has tried Vibe Coding and successfully had a Python audio tool written for him. However, he rejects it for the ...

A team of scientists funded by Asari AI, with researchers from Caltech and MIT, has developed a new tool that gives ...

FMOkit is a command-line toolkit written in Python for both preprocessing and postprocessing of Fragment Molecular Orbital(FMO) calculations. Generates GAMESS input files for FMO calculations from the ...

Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...

This framework is designed to evaluate the morphology of 3D-printed thermomagnetic heat exchanger components. The 3D extrusion and post heat treatment process may introduce defects that impact heat ...