To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

Elaine Chen covers biotech, co-writes The Readout newsletter, and co-hosts STAT’s weekly biotech podcast, The Readout Loud. You can reach Elaine on Signal at elaineywchen.70. Want to stay on top of ...

Detailed and specialized content that lives deeper within your website may be key to winning citations and brand visibility in Google’s AI Overviews, according to enterprise SEO platform BrightEdge.

Purpose: In the context of lung cancer screening, the scarcity of well-labeled medical images poses a significant challenge to implement supervised learning-based deep learning methods. While data ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...

The advent of fault-tolerant quantum computers marks a significant milestone, yet the development of practical quantum algorithms remains a critical challenge. Effective quantum algorithms are ...