Nvidia


Artificial Intelligence, Machine Learning, and Deep Learning: A Primer for Investors @themotleyfool #stocks $GOOGL, $NVDA, $GOOG

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Instead of preprogramming software to complete a specific task, as narrow AI does, machine learning uses algorithms that allow a computer to learn from the vast amounts of data it receives so it can complete a task on its own. International Business Machines uses deep learning powered by NVIDIA's graphics processing units (GPUs) to comb through medical images to find cancer cells. The company makes the graphics processors that are integral in AI, machine learning, and deep learning, and lots of companies already look to NVIDIA's hardware to make their AI software a reality. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Amazon, Facebook, and Nvidia.


NVIDIA Launches Metropolis Software Partner Program For Deep Learning Platform

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NVIDIA announces it has brought together a dozen software partners for its Metropolis Software Partner Program. The NVIDIA Metropolis intelligent video analytics platform applies deep learning to video streams for applications such as public safety, traffic management and resource optimization. To make it into our Metropolis Software Partner Program, partners must have production-ready, field-proven solutions. NVIDIA says deep learning solutions are fueling a growing array of use cases, such as helping first responders react to emergencies more quickly and delivering more personalized experiences to shoppers.


Nvidia Hits Another Record High as AI Takes Centerstage

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Analysts have focused on the company's progress in artificial intelligence, in particular. "Our sense is management believes that investors still severely underestimates the impact of AI and the size of the potential market," Evercore analyst C J Muse wrote in a note on Friday after hosting Nvidia's management. Nvidia has been rapidly expanding into newer technologies including artificial intelligence, cloud computing and self-driving cars, away from designing graphics-processing chips for which the company was known for. Bank of America Merrill Lynch analyst Vivek Arya listed Nvidia a "top pick", basing his view "on (Nvidia's) underappreciated transformation from a traditional PC graphics vendor, into a supplier into high-end gaming, enterprise graphics, cloud, accelerated computing and automotive markets," according to Seeking Alpha.


Waymo and Intel Combine to Power the Future of Self-Driving Cars

WIRED

For months now, major companies have been hooking up--Uber and Daimler, Lyft and General Motors, Microsoft and Volvo--but Intel CEO Brian Krzanich's announcement on Monday that the giant chipmaker is helping Waymo, Google's self-driving car project, build robocar technology registers as some seriously juicy gossip. Krzanich said Monday that Waymo's newest self-driving Chrysler Pacificas, delivered last December, use Intel technology to process what's going on around them and make safe decisions in real time. And last year, Google announced it had created its own specialized chip that could help AVs recognize common driving situations and react efficiently and safely. "Our self-driving cars require the highest-performance compute to make safe driving decisions in real-time," Waymo CEO John Krafcik said in a statement.


Nvidia hits another record high as AI takes centerstage

#artificialintelligence

"Our sense is management believes that investors still severely underestimates the impact of AI and the size of the potential market," Evercore analyst C J Muse wrote in a note on Friday after hosting Nvidia's management. Nvidia has been rapidly expanding into newer technologies including artificial intelligence, cloud computing and self-driving cars, away from designing graphics-processing chips for which the company was known for. Bank of America Merrill Lynch analyst Vivek Arya listed Nvidia a "top pick", basing his view "on (Nvidia's) underappreciated transformation from a traditional PC graphics vendor, into a supplier into high-end gaming, enterprise graphics, cloud, accelerated computing and automotive markets," according to Seeking Alpha. In May, Nvidia announced a partnership with Toyota Motor Corp through which the Japanese car maker would use Nvidia's AI technology to develop self-driving vehicle systems planned for the next few years.


NVIDIA: Open Source Deep Learning is Powering the AI Revolution

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In this chapter of our thought leadership series, AI Business caught up with Kari Ann Briski, the Director of Deep Learning Software Product at NVIDIA. Deep learning is being applied to solve many big data problems from computer vision, image recognition, speech recognition, and autonomous vehicles. "I've personally seen so many fun and interesting AI applications, from large organizations to small businesses and individuals who previously knew nothing about deep learning," Kari explains. "NVIDIA heavily contributes to open source projects, both in the frameworks (deep learning libraries) as well as posting neural networks that we have researched for specific AI applications.


5 Reasons Why Your Data Science Team Needs The DGX Station

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I immediately pulled a container and started work on a CNTK NCCL project, the next day pulled another container to work on a TF biomedical project. By running Nvidia Optix 5.0 on a DGX Station, content creators can significantly accelerate training, inference and rendering (meaning both AI and graphics tasks). Flexibility to do AI work at the desk, data center, or edge The Fastest Personal Supercomputer for Researchers and Data Scientists 15. www.nvidia.com/dgx-station However, for our current projects we need a compute server that we have exclusive access to." By running Nvidia Optix 5.0 on a DGX Station, content creators can significantly accelerate training, inference and rendering (meaning both AI and graphics tasks).


Walmart will use Nvidia and AI to gain ground on Amazon

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Wal-Mart will build a "GPU farm" using graphics processing units (GPUs) from NVIDIA to power its cloud platform, which would be about 1/10th of the size of Amazon's massive cloud operations. In its most recent quarter, data center revenue from AI soared 175% over the prior year quarter. During the second quarter 2017, online sales in the US grew to $111.5 billion, yet accounted for 8.9% of US retail sales. Wal-Mart doesn't want to cede these sales to Amazon, and recent moves show that the retailer is positioning itself to better compete in the digital realm.


Data scientists: Data Science is next big thing in decision-making - The Economic Times

@machinelearnbot

Sunrise Sectors: As per the Analytics India Report 2017, big data and decision sciences are the next sunrise sectors. Many of them admit that they haven't been able to leverage its benefits due to the shortfall in talent and because of this dearth of highly skilled human resources, professionals with big data skills will command huge salaries. TimesPro Decision Sciences: TimesPro, a part of Times Professional Learning, offers three avenues to explore decision sciences as a career through a combination of basic and advanced-level courses for students at different levels of understanding and growth in their careers. The three comprehensive programmes -- post-graduate diploma in data science, post-graduate diploma in advance data sciences and certificate in advance decision science -- are divided into modules, with a special focus on all important aspects of artificial intelligence (AI), analytics, internet of things, deep learning and machine learning.


Inventor Sorts 2 Million Lego Bricks with AI NVIDIA Blog

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Jacques Mattheij didn't expect to buy two tons of Lego bricks. For his Lego sorting machine, Mattheij first built a proof of concept made of (what else?) The Lego sorting machine now sorts 4,000 pieces an hour with an accuracy rate of 97 percent, but Mattheij thinks he can boost speed without compromising accuracy. The Lego sorting machine at work, seen in slow motion.