Thursday, 24 May, 2018

NVIDIA looks to train 100000 developers to meet demand for AI expertise

Nvidia founder President and CEO Jen Hsun Huang delivers a keynote address at CES 2017 at The Venetian on Jan. 4 2017 in Las Vegas NVIDIA looks to train 100000 developers to meet demand for AI expertise
Kayla Schwartz | 10 May, 2017, 00:36

NVIDIA HAS used the first day of its annual GTC conference to reaffirm and expand its commitment to its programme training courses for machine learning and artificial intelligence (AI) coding.

The NVIDIA Deep Learning Institute looks to provide developers, data scientists and researchers with practical training on the use of the latest AI tools and technology and has trained developers around the world at numeorus public events and provided onsite training at companies such as Adobe, Alibaba and SAP as well as at government research institutions and at institutes of higher learning such as the Temasek Polytechnic in Singapore and the India Institute of Technology.

According to Nvidia the surging demand for deep learning developers will require the company to train ten times as many developers as they did in 2016.

Estes said Nvidia is on its way to formal competence certification.

"Deep learning" is in the computer science curriculum at many schools, but few universities offer a degree specifically in AI. Greg Estes, vice president of developer programs at NVIDIA, said that partnering with larger companies allows NVIDIA to utilize its expertise in deep learning, while leveraging the reach available to global technology giants.

In 2017, the number of companies using H2O.ai's platform jumped to more than 9,100, with 83,000 total users - a almost 50 percent increase year-over-year. "Unlike traditional programs where algorithms are employed to perform a task, ML is a two-stage process with a training phase and a deployment phase".

US Congress delegation to meet Dalai Lama
China views the Dalai Lama, who fled to India from Tibet in 1959 after an unsuccessful uprising against China, as a separatist. During the two day visit, the delegation will meet Dalai Lama and Tibetan government-in-exile President Lobsang Sangay.

In the meantime, delegates can take part in a number of the courses, on-site, and listen to speakers from a wide range of companies in the fields of robotics, AI, machine learning and smart automotive.

The Deep Learning Institute uses certified expert instructors from NVIDIA, partner companies and universities. It is working with Amazon Web Services, Facebook, Google, the Mayo Clinic, Stanford University, as well as the communities supporting major deep learning frameworks to co-develop training labs using Caffe2, MXNet and TensorFlow.

As Jim McGregor, principal analyst at Tirias Research, told us, "The most hard thing for app developers are the cloud resources and large data sets". H2O.ai can read the data frame and run machine learning in the GPU memory directly.

Nvidia can provide the hardware resources and a mature software model, but "developers still need the service provider and data sets", McGregor added.

To boost its training numbers, the chip manufacturer is porting DLI to Microsoft Azure and IBM Cloud, as well as training instructors from Hewlett Packard Enterprise and Microsoft.

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