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

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

Insurance companies aren't experimenting with AI. They're deploying it at scale across three critical functions that directly ...

Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species ...

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Apple continues to focus on AI-powered image modification, with new studies detailing evaluation frameworks and an AI model ...

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

A Macquarie University–led study has identified coordinated abnormalities in cellular energy, immune function and blood ...

AI transforms cybersecurity. Our AI-driven systems anticipate threats, adapt to your environment, and safeguard your data with privacy at its core, before breaches occur. Innovation in machine ...

FrenchieGPT.ai today announced the official launch of its AI App designed to provide on-demand dog training & puppy care guidance for pet owners across multiple breeds and life stages. The canine app ...