AI safety, governance, security, and risk aren’t the same. Confusing them creates real exposure in AI deployments. The ...
Generative AI can be used to combat misinformation. However, it can also exacerbate the problem by producing convincing manipulations that are difficult to detect and can quickly be copied and ...
The GANs market is poised for significant growth, driven by AI adoption and advancements in neural networks. Key opportunities include enhancing digital marketing with personalized content, improving ...
Introduction: The Shift from Recognition to Generation For the past decade, the narrative around Artificial Intelligence in image processing has focused primari ...
Google also developed its own generative AI model called Gemini, which is capable of writing emails in Gmail, summarizing ...
The engineer behind AI lenses reaching 400 million Snapchat users explains how diffusion models, on-device inference, and ...
As AI-generated deepfakes grow more realistic, they pose new threats to scientific integrity. This article unpacks how ...
AxxonAI, developed by Athenatech.ai, a Malaysia Digital –certified company, is a next-generation synthetic GenAI platform that empowers organisations to maximise the value of their data—without ...
Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...
Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...
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