Russia plans to create a "political algorithm" called Zhirinovsky, which will be able to generate answers to various questions based on the speeches of the deceased politician Vladimir Zhirinovsky.

Johns Hopkins electrical and computer engineers are pioneering a new approach to creating neural network chips—neuromorphic accelerators that could power energy-efficient, real-time machine ...

Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.

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A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks ...

Tesla Inc. (NASDAQ:TSLA) CEO Elon Musk disagrees with Nvidia Corp.'s (NASDAQ:NVDA) CEO Jensen Huang’s belief about the ease of creating neural networks with his company’s AI chips. What Happened: Musk ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex (male or female), age, ...