Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...

We’ve blown past the Turing test, but "indistinguishable" isn’t "equivalent." Psychology must continue to learn from people, and there is still a great deal to learn.

Generative artificial intelligence (GenAI) is now a reality in higher education, with students and professors integrating chatbots into teaching, learning and assessment. But this isn't just a ...

Whether it’s during a long drive, exercising or unwinding at home, sometimes you just want to hear your favorite tunes. Naturally, you shuffle through the songs you’ve taken the time to save, or “like ...

Abstract: Over the past decades, extensive research has been conducted on adversarial attacks and defense mechanisms in deep learning, particularly in real-world applications such as autonomous ...

Christian Ness is back at Ness, Risan & Partners (NRP). Ness rejoined the company he co-founded after being chief executive at Swiss Life Asset Managers (SLAM) Nordic in Oslo. “I’m happy to share that ...

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock ...

We focus on building foundation models for embodied AI. In terms of algorithmic research, our interests include but are not limited to latent action learning, VLA, World Model, RL, and other research ...

If you happen to be on a Texas highway sometime this summer, and see a 50,000-pound semi truck barreling along with nobody behind the wheel, just remember: A self-driving truck is less likely to kill ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The firm has delivered thousands ...

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.