The waiver "underscores Google's commitment to DeepMind, with little indication the [AI] startup is likely to turn a profit any time soon."
Those who trust too much and those who don’t trust machine learning enough will both miss out on potentially better accuracy.
The solution uses deep learning models to understand natural language queries and document content.
Data is the foundation of any machine learning model. Here's how to deal with bias, cross-contamination, and non-numeric inputs.
Some companies may begin to reap gains from quantum computing within five years. Here's what they should know now.
The AI race is inextricably linked with immigration policies and government investment, MIT researchers say.
As artificial intelligence options pile up, it gets harder to tell what's real from what's fake. But there may be reason to hope for greater clarity: KPMG.
The Fortune 500 data company onboards AI and machine learning capabilities to make hay with unstructured datasets.
AI, machine learning, and other new technology must replace subjective rules of thumb and one-size-fits-all programs for business transformation to succeed.
While AI is often overhyped, there are a number of practical applications that are available to finance chiefs.
In making software-buying decisions, finance organizations are too focused on gaining efficiencies and not enough on future digital needs, says Gartner.
No matter how much data is fed to machine learning and predictive analytics tools, the key is deciding which outputs are useful and how to act on them.
