If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The tech will also be used in GE's advanced ultrasound imaging devices to provide visualization and quantification of data. "NVIDIA's GPUs accelerate reconstruction and visualization of blood flow and improve 2D and 4D imaging for ... interventional deployments," the company said. Clinical diagnosis has dramatically improved thanks to improved imaging via incredibly advanced MRI, CT and other machines, but there's a downside to that tech. It generates up to 50,000 terabytes of data, per hospital, but only three percent of that is analyzed or even tagged, says GE. Using AI would not just help patients, but also make the data available for further analysis so the algorithms can be refined even more. As such, GE is also developing a new analytics platform and placing some of the data in NVIDIA's GPU Cloud.
Deep learning tech is making itself at home in hospitals by helping radiologists examine medical scans for just a buck per image. Now, GE Healthcare is bringing that AI tech directly to the scanners, thanks to partnerships with NVIDIA and Intel. It announced that it will update 500,000 of its medical devices around the world with NVIDIA AI tech, most notably its Revolution Frontier CT scanner (below). The tech "is expected to deliver better clinical outcomes in liver lesion detection and kidney lesion characterization because of its speed," GE wrote in a press release. The tech will also be used in GE's advanced ultrasound imaging devices to provide visualization and quantification of data.
However, Intel is taking another tack as well with an experimental chip called "Loihi." Intel's Loihi chip has 1,024 artificial neurons, or 130,000 simulated neurons with 130 million possible synaptic connections. IBM has also developed a neuromorphic chip called "TrueNorth," for instance, with 4096 processors that simulate around 256 million synapses. Via its acquisition of Movidius and MobilEye, however, it's already got a line of machine vision and learning chips that do work with current AI algorithms.
The use of the tech with movie test audiences shouldn't present an issue; Disney could disclose in advance that the tech was being used, and folks who had a problem with it just wouldn't participate. In fiscal 2016, this segment's revenue jumped 28% year over year to $9.44 billion, accounting for 17% of the company's total revenue. Its operating income soared 37% year over year to $2.7 billion, accounting for 17.2% of total segment operating income. The Motley Fool owns shares of and recommends Nvidia and Walt Disney.
After just confirming its plans to help Volvo create self-driving cars, NVIDIA has now revealed that it's also working with another leading car manufacturer. Announcing a partnership with Volkswagen, the tech company states its artificial intelligence and deep learning tech will be used to help VW expand its AI business beyond just autonomous vehicles. While this collaboration may sound surprising, the move actually looks to help expand Volkswagen's existing AI-focused research division - The VW Data Lab. The tech company and the car manufacturer have also announced a startup support program beginning this fall, where The Data Lab and NVIDIA will be assisting five small business who specialize in machine learning.
The company, which was co-founded by noted machine learning researcher Yoshua Bengio, received its large funding round from firms and sources including Intel Capital and NVIDIA. In a statement announcing the investment, Element AI CEO Jean-François Gagné said the investment round reflects venture confidence in the company's goals. As VentureBeat previously noted, the company received an undisclosed amount in seed investment from Microsoft Ventures late last year. As the CBC noted, Element AI's consulting side has already finished 10 projects for clients that have included using AI to help a Japanese semiconductor company improve its production quality and rates.
Amazon is reportedly planning to release a new version of its smart speaker Echo on Tuesday that includes a screen for making video calls. In April, Amazon launched a separate version of the smart home speaker called Echo Look, which included a camera that could give style advice on outfits, and which was also priced at $200. A new forecast from eMarketer says Amazon's Echo device would capture 70.6% of the market for voice-enabled speakers in the United States in 2017, well ahead of Google Home's 23.8%. The Nvidia Metropolis platform will use artificial intelligence to monitor video streams for incidents of crimes or worsening traffic, the company said in a press release on Tuesday.
In 2011, scientists made one of the most important discoveries in the history of AI development. They found that graphics processing units (GPUs) are far better at simulating biological learning than central processing units (CPUs). In retrospect, it seems obvious. Human brains are much more like GPUs than CPUs. Both brains and GPUs rely on parallel processing that simulates and predicts real world physics.
BY PATRICK COX: In 2011, scientists made one of the most important discoveries in the history of AI development. They found that graphics processing units (GPUs) are far better at simulating biological learning than central processing units (CPUs). In retrospect, it seems obvious. Human brains are much more like GPUs than CPUs. Both brains and GPUs rely on parallel processing that simulates and predicts real world physics.