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AI in the Future

Even with the evolution of emerging technologies, memory remains one of the most critical technologies for enabling continued advances in artificial intelligence (AI) and machine learning processing. Fierce Electronics brought this interesting information to us in their article, “Memory is key to future AI and ML performance.”

The future will demand that AI and machine learning applications achieve better memory performance, capacity and power efficiency. This is the current challenge for memory system designers across the board. 

As organizations navigate this new world of emerging technologies, it is important to remember that few have comprehensive knowledge of how AI systems make the decisions they do, or how the results are applied. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.