Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...

ON SEPTEMBER 10th Charlie Kirk, a right-wing activist, was shot dead while speaking at a university in Utah. Although a suspect is in custody, the motive of the killer is still unknown. President ...

I was previously using [email protected] and noticed that it does not parse externalNodes when inspecting the .nx/workspace-data/project-graph.json file. To address this, I ...

Sumit Chanda, a professor of immunology and microbiology at Scripps Research who focuses on pandemics, has made a career out of preparing for disaster. But Chanda faced a disaster of a different kind ...

Eno’s project delivery resources hub has a wealth of information to help transportation agencies and policy makers improve the planning, design, and construction of projects. This hub now has two new ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group co-founder. A significant percentage of data science projects continue to ...

NASA is contributing to the One Million Acts of Science event, which seeks to encourage people to participate in various scientific projects and rack up one million individual contributions by the end ...

Deep in the Costa Rican rainforests, where howler monkeys and pumas roam, conservationists are working alongside travellers on new citizen science projects, introducing hi-tech processes to safeguard ...

After receiving his degree in Journalism & Media Communications from CSU in 2019, Erik began building his career in online media, and found his dream job when he joined Game Rant as a staff writer.

Choosing a science fair idea will guide your entire project. AI brainstorms science fair ideas with you. Tell AI about your science fair, like what grade levels are participating or tell the topics ...

Abstract: In this study, we present a novel approach to adversarial attacks for graph neural networks (GNNs), specifically addressing the unique challenges posed by graphical data. Unlike traditional ...