In association withOracle, Intel
Today, artificial intelligence (AI) is no longer an avant-garde concept—it’s a technological reality that businesses need to prepare for. Some early adopters are forging ahead, turning to forms of AI to perform or augment tasks traditionally done by humans. For example, robotic process automation is replacing repetitive tasks such as data entry; natural language processing is being used to generate meaning from human speech; and machine learning is now processing, analyzing, and acting on vast amounts of data.
In a Deloitte survey of 1,500 senior executives in the United States, 76 percent said AI would transform their companies within the next three years, and 92 percent said the technology was “important” or “very important” to their internal business processes.
But, the survey also found, challenges abound—the high cost of implementation, the complexity of integrating AI technologies with existing systems, and a shortage of expertise among them. The following interactive infographic illustrates AI’s transformative potential as well as its current complications.
Meta has built a massive new language AI—and it’s giving it away for free
Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3
The gene-edited pig heart given to a dying patient was infected with a pig virus
The first transplant of a genetically-modified pig heart into a human may have ended prematurely because of a well-known—and avoidable—risk.
Saudi Arabia plans to spend $1 billion a year discovering treatments to slow aging
The oil kingdom fears that its population is aging at an accelerated rate and hopes to test drugs to reverse the problem. First up might be the diabetes drug metformin.
Yann LeCun has a bold new vision for the future of AI
One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.
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