Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...
No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Researchers suggest that MultiCell could potentially be used to discern early patterns of disease, such as in asthma.
If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...
Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
AI brings innovation and greater accuracy to corporate and investment banking. Artificial intelligence, GenAI, and large ...
Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.
Info-Tech Research Group has released its 2025 Machine Learning Emotional Footprint Report, which identifies the ...