As medical imaging technology continues to take advantage of every new deep learning breakthrough, the challenge is that the computing technology on which it relies must evolve just as quickly. A company called Nvidia is leading that charge under the guidance of Kimberley Powell, who is confident that Nvidia's processors are not only meeting the deep learning standards of medical imagining, but also pushing the industry forward as a whole.
By the mid-1950s, the world realized that computers were going to play a major role in future technology. Military, business and educational entities began investing heavily in computers, and rapidly advancing hardware meant that the potential for computing seemed endless. Artificial intelligence, perhaps more than any other aspect of computing, captured the public's imagination, and predictions of a future ruled by computation and robots were common in news stories and throughout science fiction literature and cinema.
For anyone who's ever seen an early episode of Star Trek, recall Captain Kirk speaking to the "computer," even using that keyword to summon the computing power of the Starship Enterprise to answer a complex question requiring an expeditious answer. Ever since Gene Roddenberry introduced his sci-fi interpretation of the future, we've been chasing that dream, for as early as 1952, Bell Labs scientists introduced "Audrey," a system that recognized spoken numeric digits.