Artificial intelligence is on the rise.
Machine learning and gpus are key to uncovering the potential of artificial intelligence, as research and work with artificial intelligence continues.
Machine learning requires systems to learn how to understand data and process and analyze inputs to generate outputs (Bernard, 2017). Machine learning is an important topic today that is essential to understanding the journey and progress technology is making, in building artificial intelligence (Copeland, 2017).
Artificial intelligence, AI, is flourishing, and is getting attention in the media. The results of NASA’s research project on machine versus human drones was recently featured in TheVerge, and, although the AI powered drones completed the routine in less time than the human-powered ones, this project shows that there is hope for AI-powered drones and much more (James, 2017).
Machine learning, and deep learning are important to moving forward with AI (Bernard, 2017).
GPUs, for example, have been powering the backend of large applications like Facebook, Amazon, Google and Microsoft, enabling large amounts of data, and users to use them successfully (Neiger, 2017). GPUs surpass CPUs because they can complete many tasks simultaneously, whereas CPUs require completion of one task before they can execute the next (“What is GPU-Accelerated Computing?”, n.d.).
GPUs can perform tasks super quickly as you can see from this video below from NVIDIA, who is a leading designer of GPUs as well as gaming technology. Here is NVIDIA’s demonstration of the GPU painting the Mona Lisa, in lightning speed..
As the world plummets forward into new territories, once only painted in science fiction novels, GPUs and machine learning will be necessary for AI systems.
Co-work at Aponia Data!
Copeland, Michael. “What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?” NVIDIA, 29 July, 2016, https://blog.nvidia.com/blog/2016/07/29/whats-the-difference-artificial-intelligence-machine-learning-deep-ai/. Accessed 27 Nov. 2017.
Marr, Bernard. “What Is The Difference Between Artificial Intelligence and Machine Learning.” Forbes, 16 Dec. 2016, https://www.forbes.com/sites/bernardmarr/2016/12/06/what-is-the-differene-between-artificial-intelligence-and-machine-learning/#33d406072742. Accessed 27 Nov. 2017.
MSV, Janakirim. “In The Era of Artificial Intelligence, GPUs Are The New CPUs.” Forbes, 7 Aug. 2017., https://www.forbes.com/sites/janakirammsv/2017/08/07/in-the-era-of-artificial-intelligence-gpus-are-the-new-cpus/#40e9aefa5d16. Accessed 27 Nov. 2017.
Neiger, Chris. “2 Top AI Stocks to Buy Now.” TheMotleyFool, 14 Nov. 2017, https://www.fool.com/investing/2017/11/14/2-top-ai-stocks-to-buy-new.aspx. Accessed 27 Nov. 2017.
Vincent, James. “Watch NASA’s AI drone race a pro human pilot.” THEVERGE, 27 Nov., https://www.theverge.com/2017/11/27/16704056/watch-nasas-ai-drone-race-a-pro-human-pilot. Accessed 27 Nov. 2017.
“What is GPU-Accelerated Computing.” NVIDIA, n.d., www.nvidia.com/object/what-is-gpu-computing.html.