These overlooked stocks are a backdoor way to play the AI chip boom

For these materials providers, the analog opportunity is perhaps the most clear-cut. Analog chips, which are used in automobiles, appliances and other consumer electronics, are staging a comeback ...
Tech Xplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Duke Pratt School of Engineering

A New Vision for Lymphatic Imaging

Pengfei Song is part of a team led by the University of Alberta, which has received an ARPA-H award to create high-resolution ...

Astrologists Reveals Why We're All Obsessed With 2016 Nostalgia

Mercury, the buzzy planet that directs the collective mindset, stepped into a new sign on New Year’s Day in both 2016 and ...

Going Deeper Inside the Mind of DeepMind: The Thinking Labs

DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.
SciELO

Mechanical Behavior of Nano Structures Using Atomic-Scale Finite Element Method (AFEM)

This work presents a detailed description of the formulation and implementation of the Atomistic Finite Element Method AFEM, exemplified in the analysis of one- and two-dimensional atomic domains ...
GitHub

Disallow prohibited node elements from mesh nodes

pow2clk changed the title Disallow things removed from node broadcast shaders. No node outputs, recursion, cross group sharing, RW on input record, etc needs additional review to ensure we catch them ...
IEEE

Overhead Optimized and Quadruple-Node-Upset Self-Recoverable Latch Design Based on Looped C-Element Matrix

Abstract: In deep nanoscale and highly integrated complementary metal-oxide-semiconductor (CMOS) technologies, storage circuits are increasingly sensitive to multiple-node upsets (MNUs) caused by ...