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Power Hungry AI

Artificial Intelligence or AI Hal in 2001. Google in 2022? The future or the past technology? AI has many supporters, extoling the benefits and many critics call out cautions. It also still has gaps keeping it from a practical present according to some developers.

Deep learning-powered advancements in AI have led to innovations that have the potential to revolutionize services, products, and consumer applications across industries such as medicine, manufacturing, transportation, communication, and retail. However, the AI efficiency gap — a situation in which hardware is unable to meet the increasing computing demands of models that are growing in size and complexity – has proven to be an obstacle to more widespread AI commercialization.

AI Digs Deeper

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