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) …
Although most recognize GE as a leading name in energy, the company has steadily built a healthcare empire over the course of decades, beginning in the 1950s in particular with its leadership in medical X-ray machines and later CT systems in the 1970s and today, with devices that touch a broad range of uses. Much of GE Healthcare's current medical device business is rooted in imaging hardware and software systems, including CT imaging machines and other diagnostic equipment. The company has also invested significantly in the drug discovery and production arena in recent years--something the new CEO of GE, John Flannery (who previously led the healthcare division at GE), identified as one of three main focal points for GE's financial future. According to Flannery, the company's healthcare unit has one million scanners in service globally, which generate 50,000 scans every few moments. As one might imagine, this kind of volume will increasingly require more processing and analysis capabilities cooked in--something the company is seeking to get ahead with in today's partnership with Nvidia.
WIRE)--H2O.ai, the leading company bringing AI to enterprises, today announced it has completed a $40 million Series C round of funding led by Wells Fargo and NVIDIA with participation from New York Life, Crane Venture Partners, Nexus Venture Partners and Transamerica Ventures, the corporate venture capital fund of Transamerica and Aegon Group. The Series C round brings H2O.ai's total amount of funding raised to $75 million. The new investment will be used to further democratize advanced machine learning and for global expansion and innovation of Driverless AI, an automated machine learning and pipelining platform that uses "AI to do AI." H2O.ai continued its juggernaut growth in 2017 as evidenced by new platforms and partnerships. The company launched Driverless AI, a product that automates AI for non-technical users and introduces visualization and interpretability features that explain the data modeling results in plain English, thus fostering further adoption and trust in artificial intelligence.
Artificial intelligence and machine learning are two phrases that are thrown around a lot in the tech world these days. It has gotten the point where every company has to say they're an AI company, even if they really don't have AI capabilities, just to be taken seriously. The problem is that the best data scientists all want to work for the same few companies: Google, Facebook or Apple. So what are the smaller companies to do? That's the problem that H2O.ai is solving.
Intel said it has formed a partnership with Warner Bros. to create in-cabin and immersive experience within autonomous cars. The chip giant, which acquired Mobileye for a play in the autonomous vehicle market, also threw a jab at Nvidia, which is a key rival. Speaking at the Los Angeles Auto Show, Intel CEO Brian Krzanich outlined the Warner Bros. partnership. While the focus on autonomous vehicles has revolved around mapping, vision, sensors and the Internet of things, Krzanich argued the in-cabin design and entertainment systems will be just as ground breaking. Intel's Mobileye purchase may really be about thwarting Nvidia's car to cloud, data center connection Intel buys Mobileye for $15.3 billion, eyes autonomous driving market, computer vision In a post that went with Krzanich's keynote, he said: Intel and Warner Bros. will develop new experiences and layouts for autonomous vehicles.
Nuance and Nvidia have formed a partnership that aims to bring more machine learning to radiology to enhance and speed up existing workflows. Radiology as an industry is seen as ripe for machine learning and artificial intelligence. Whether it's an MRI or analyzing reports machine learning is seen as a technology that can improve care and get results to patients faster. Nvidia also outlined a partnership with GE Healthcare to bolster AI's role in medical imaging. For instance, Dr. Yvonne Lui, Chief of Neuroradiology and Director of AI, NYU Langone Medical Center, said at a recent IBM event in New York City that machine learning could dramatically speed up the time it takes to perform an MRI and deliver results.
GE Healthcare is set to speed up the time taken to process medical images, thanks to a pair of partnerships announced on Sunday. The global giant will team up with Nvidia to update its 500,000 medical imaging devices worldwide with Revolution Frontier CT, which is claimed to be two times faster than the previous generation image processor. GE said the speedier Revolution Frontier would be better at liver lesion detection and kidney lesion characterisation, and has the potential to reduce the number of follow-up appointments and the number of non-interpretable scans. GE Healthcare is also making use of Nvidia in its new analytics platform, with sections of it to be placed in the Nvidia GPU Cloud. An average hospital generates 50 petabytes of data annually, GE said, but only 3 percent of that data is analysed, tagged, or made actionable.
It will be the first of its kind among the autonomous vehicle market, as Nvidia race ahead and offer passengers an on demand service to take them to their destination and giving accessibility to everyone including elderly and disabled passengers. The technology making robotaxis a possibility is Nvidia's Drive PX AI platform, dubbed Pegasus, which delivers all the capabilities of a data centre in a supercomputer the size of a license plate. The size, cost and power demands of existing AI computing solutions, Nvidia claims, makes them impractical for production vehicles. The fleet will use ZF's ProAI self-driving platform for the vehicles, based on Nvidia's Drive PX AI platform.
Like its US counterparts, Chinese internet titan Baidu has been working on autonomous vehicle research for years. After a failed partnership with BMW, Baidu opened itself up to teaming up with other companies, notably bringing on NVIDIA to power its Apollo self-driving car program. The internet giant has another partner now: Chinese automaker BAIC, which will pair its cars with Baidu's tech to start mass production of level three autonomous vehicles around 2019, followed by L4 vehicles around 2021. Baidu has outlined a roadmap for its line of self-driving cars with scheduled goals: By the end of 2018, BAIC's self-branded vehicles will carry Baidu's Apollo connectivity features along with the internet giant's DuerOS voice assistant, with plans to produce one million of those cars by the next year.
This was followed by the implementation of NVIDIA DGX-1 systems with NVIDIA Tesla P100 graphics processing units (GPUs) in SAP's production data center in St. Leon-Rot, Germany and in SAP's Innovation Labs in Palo Alto, California, and Singapore in September 2017. From the outset of SAP's machine learning efforts, NVIDIA's computing platform has promoted the company's training of data sets and algorithms – the core of intelligent machine learning applications in the SAP Leonardo Machine Learning portfolio. With SAP Leonardo Machine Learning, SAP brings digital intelligence to enterprise offerings and creates tremendous opportunities for customers to realize greater benefits through automated processes, targeted results-driven marketing, superior customer service, as well as increased agility and process efficiency. The partnership between SAP and NVIDIA to bring DGX-1 systems with Volta to production in the SAP Data Center will give SAP customers access to machine learning services and applications from SAP's own Data Center infrastructure.
Huawei will team up with Nvidia Corp. [NASDAQ:NVDA], a world leader in visual computing, to build a public platform for artificial intelligence, machine learning and deep learning. China has a fairly large market which is home to a number of micro-, small- and medium-sized enterprises, Ashok Pandey, vice president of Nvidia said about the firm's partnership with Alibaba Cloud, which began last year. The cooperation between Nvidia and Alibaba is a transition toward a business model where the cloud platform will be the major partner, Pandey said, adding that his firm's technology can be provided through the cloud to business users across China. Teaming up with Huawei appears to be another way in which the visual computing firm can cover a greater portion of the Chinese market.