How AmEx Found Gold With Machine Learning
Recommendation engines aren't just for Netflix and Amazon.
Recommendation engines aren't just for Netflix and Amazon.
A smart approach to predictive maintenance for equipment requires human intelligence plus machine learning, which can adapt maintenance needs to different operating environments.
How an ecommerce company used predictive analytics to improve customer retention.
Federated Averaging represents a significant advancement in the use of artificial intelligence in privacy-sensitive applications. By allowing for collaborative model training without direct data sharing, it paves the way for a new era of secure, decentralized machine learning.
Integrating AI into machine vision is rapidly becoming a critical component in the manufacturing sector, according to an ABI Research report
Intel announced the launch of its second generation deep learning processors, which they claim surpass Nvidia's A100.
Providing automation solutions at a lower cost will help satisfy increasing demand for machine vision in manufacturing and other industries.
AI, ML, and deep learning have distinct purposes and capabilities and mostly work as holistic units to deliver results and accomplish tasks.
The Python programming language has been in the game for so long, and it is here to stay.
Making each step up the human/machine interaction spectrum ladder, from assisted to augmented to an autonomous machine, requires increased trust in the real-time systems.