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

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Using lab-grown brain tissue, researchers uncovered complex patterns of neural signaling that differ subtly between healthy ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It uses neuro-symbolic AI via models that can reason and call APIs, improving ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and metabolic markers to predict prediabetes in Indian adults. The model achieved ...