The rapid expansion of deep learning applications is reshaping cloud computing, introducing challenges in resource allocation ...

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published today in ...

Malicious URLs are among the most common vectors for cyberattacks, enabling phishing, malware distribution, and data theft.

Computer vision is used in many sectors for its ability to monitor and analyze visual data in ways that extend past what ...

Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...

SHENZHEN, China - MicroCloud Hologram Inc. (NASDAQ: HOLO), a $35 million market cap technology service provider currently ...

Deep Instinct, the zero-day data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the launch of DSX for Cloud – Amazon FSx NetApp, ...

Histopathological evaluation of tumour specimens has long been essential in diagnosing breast cancer and guiding clinical ...

Alex Battaglia of Digital Foundry interviews Bryan Catanzaro, Nvidia's VP of applied deep learning about DLSS 4. How does it ...

We are starting off the course with a busy week. This week's module has two parts. In the first part, after a quick introduction to Deep Learning's exciting applications in self-driving cars, medical ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their ...

The company developed DeepSeek-R1 by using pure reinforcement learning on top of DeepSeek-V3-Base, and matched or beat o1 on some benchmarks.