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

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

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

EPFL scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like ...

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, ...

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

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

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 ...

The Purdue method is called RAPTOR, or residual attention-based processing of tampered optical responses. It leverages deep learning to identify tampering. It improves upon traditional methods, which ...

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