The importance of graphs in physics lab experiments. Learn how visual data reveals patterns, relationships, and experimental errors, making results clearer and more meaningful. #PhysicsLab ...

Abstract: Recently, self-supervised learning has shown great potential in Graph Neural Networks (GNNs) through contrastive learning, which aims to learn discriminative features for each node without ...

A good deal of scientific research shows that mice and rats are bright, sentient, and deep emotional rodents. Yet they aren't even considered to be "animals" in the United States federal Animal ...

Drives efficiency and reliability in Quality Control and Development environments, integrating seamlessly with world-class Empower™ Chromatography Data System (CDS). Mitigates CDS communication errors ...

Reflection AI, a startup founded just last year by two former Google DeepMind researchers, has raised $2 billion at an $8 billion valuation, a whopping 15x leap from its $545 million valuation just ...

Researchers work in a mobile Fire-Eye laboratory in Beijing in June 2020. The labs can identify coronavirus infections, as well as decipher and analyze human DNA. (Fu ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Sponsor: OSU Extension & The Ohio State University College of Food, Agricultural, and Environmental Sciences Ever wondered how a kaleidoscope turns a few simple beads into endless, colorful patterns?

Marc Santos is a Guides Staff Writer from the Philippines. He's a seasoned writer with over four years of industry experience, and he is an enjoyer of all things difficult in gaming. If Marc's not ...