A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to ...

Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field ...

Versa and Intel are collaborating to advance Enterprise AI deployment where they need it the most --- at the Edge -- transforming the traditional edge to an Intelligent Edge -- The collaboration is ...

A new AI-driven beauty evaluation system rates how attractive faces appear, while training faster than typical deep learning models, potentially making large-scale automated beauty-scoring more ...

Moloco’s AI will integrate directly with Costco’s identity resolution and audience-building infrastructure so advertisers can ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global ...

Cloud networking company Cato Networks Ltd. today unveiled two major innovations for the Cato SASE Platform that are designed ...

Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Forbes contributors publish independent expert analyses and insights. Philip Maymin, a professor of analytics and AI, covers finance and AI. Is this a deep learning neural network, with blue inputs, ...