What once lived on screens and servers now lives in streets, malls and metros. The algorithms that power online ads are no ...

When scientists test algorithms that sort or classify data they often turn to a trusted tool called Normalized Mutual ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Large ML models and datasets have necessitated the use of multi-GPU systems for distributed model training. To harness the power offered by multi-GPU systems, it is critical to eliminate bottlenecks ...

Abstract: Network coding algorithms have been proposed as a unique technique to improve the best carrier (quality of service) of cooperative Wi-Fi networks. Those algorithms leverage community coding ...

Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Karoline Leavitt and Kaitlan Collins had a tense moment during a White House press conference. The clash went down on ...

Abstract: Cognitive radio networks (CRNs) represent a promising technology for efficiently utilizing spectrum resources in next-generation wireless communication systems. Cooperative spectrum sensing ...

AI-driven attacks now automate reconnaissance, generate malware variants, and evade detection at a speed that overwhelms ...

Instagram has launched its “Your Algorithm” feature, giving users deeper control over their Reels feed. The new tool reveals ...

South Australian Premier Peter Malinauskas told CNN’s Jake Tapper his country’s world-first social media ban for children ...