Scholarly snowball: Deep learning paper generates big online collaboration Peer-Reviewed Publication. Morgridge Institute for Research ...

Bioinformatics professors Anthony Gitter and Casey Greene set out in summer 2016 to write a paper about biomedical applications for deep learning, a hot new artificial intelligence field striving ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

OpenAI's new Deep Research for ChatGPT is made to create research papers, though Google Gemini 2.0 has a very similar feature.

After “Deep learning” (mentioned above), which is Nature’s most highly cited paper in the Google Scholar Metrics ranking, this paper is the journal’s second-most cited paper for 2020.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

What’s your advice for undergrads who want to do research in deep learning or a related field? This question was originally answered on Quora by Yann LeCun.

Consensus, QuillBot, Gradescope, Elicit and Semantic Scholar are five well-known AI tools that are frequently used in the learning and research fields. Consensus ...

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.