The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

Large language models like ChatGPT display conversational skills, but the problem is they don’t really understand the words ...

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

DNNs, while highly effective in tasks such as melanoma detection and cardiovascular disease prediction, often rely on ...

Ericsson Cognitive Labs focus on the development of cutting-edge technologies such as Geometric AI and Machine Learning, with applications both in the world ...

Discover DeepSeek, the revolutionary AI model transforming the internet with its multi-modal learning and explainability.

Many AI-enabled medtech products leverage machine learning or deep learning. In order to address the opaque decision-making ...

Generative AI is revolutionizing the field of cybersecurity by providing advanced tools for threat detection, analysis, and ...

One of the main problems of the EU AI Act is its risk-based approach to AI regulation. Under the Act, AI systems are ...

This neural network is made up of tens of thousands of neurons ... Researchers will use black box models because they’re willing to sacrifice explainability for a model that makes more accurate ...

Abstract: Network Intrusion Detection Systems (NIDS ... signature that explains the packet content and potential risks through high variability and explainability based on cosine semantic similarity ...

He recommends prioritising explainability in AI solution design. “The technical complexity of many AI models, especially those driven by neural networks, often limits their inherent explainability, ...