Putting the AI in Retail: Walmart’s Grant Gelvin on Prediction Analytics at Supercenter Scale

With only one U.S. state without a Walmart supercenter — and over 4,600 stores across the country — the retail giant’s prediction analytics work with data on an enormous scale. Grant Gelven, a machine learning engineer at Walmart Global Tech, joined NVIDIA AI Podcast host Noah Kravitz for the latest episode of the AI Podcast. Read article >

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Putting the AI in Retail: Walmart’s Grant Gelvin on Prediction Analytics at Supercenter Scale

With only one U.S. state without a Walmart supercenter — and over 4,600 stores across the country — the retail giant’s prediction analytics work with data on an enormous scale.

Grant Gelven, a machine learning engineer at Walmart Global Tech, joined NVIDIA AI Podcast host Noah Kravitz for the latest episode of the AI Podcast.

Gelven spoke about the big data and machine learning methods making it possible to improve everything from the customer experience to stocking to item pricing.

Gelven’s most recent project has been a dynamic pricing system, which reduces excess food waste by pricing perishable goods at a cost that ensures they’ll be sold. This improves suppliers’ ability to deliver the correct volume of items, the customers’ ability to purchase, and lessens the company’s impact on the environment.

The models that Gelven’s team work on are extremely large, with hundreds of millions of parameters. They’re impossible to run without GPUs, which are helping accelerate dataset preparation and training.

The improvements that machine learning have made to Walmart’s retail predictions reach even farther than streamlining business operations. Gelven points out that it’s ultimately helped customers worldwide get the essential goods they need, by allowing enterprises to react to crises and changing market conditions.

Key Points From This Episode:

  • Gelven’s goal for enterprise AI and machine learning models isn’t just to solve single use case problems, but to improve the entire customer experience through a complex system of thousands of models working simultaneously.
  • Five years ago, the time from concept to model to operations took roughly a year. Gelven explains that GPU acceleration, open-source software, and various other new tools have drastically reduced deployment times.

Tweetables:

“Solving these prediction problems really means we have to be able to make predictions about hundreds of millions of distinct units that are distributed all over the country.” — Grant Gelven [3:17]

“To give customers exactly what they need when they need it, I think is probably one of the most important things that a business or service provider can do.” — Grant Gelven [16:11]

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The post Putting the AI in Retail: Walmart’s Grant Gelvin on Prediction Analytics at Supercenter Scale appeared first on The Official NVIDIA Blog.

AI Gone Global: Why 20,000+ Developers from Emerging Markets Signed Up for GTC

Major tech conferences are typically hosted in highly industrialized countries. But the appetite for AI and data science resources spans the globe — with an estimated 3 million developers in emerging markets. Our recent GPU Technology Conference — virtual, free to register, and featuring 24/7 content — for the first time featured a dedicated track on Read article >

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AI Gone Global: Why 20,000+ Developers from Emerging Markets Signed Up for GTC

Major tech conferences are typically hosted in highly industrialized countries. But the appetite for AI and data science resources spans the globe — with an estimated 3 million developers in emerging markets.

Our recent GPU Technology Conference — virtual, free to register, and featuring 24/7 content — for the first time featured a dedicated track on AI in emerging markets. The conference attracted a record 20,000+ developers, industry leaders, policymakers and researchers in emerging markets across 95 countries.

These registrations accounted for around 10 percent of all signups for GTC. We saw a 6x jump from last spring’s GTC in registrations from Latin America, a 10x boost in registrations from the Middle East and a nearly 30x jump in registrations from African countries.

Nigeria alone accounted for more than 1,300 signups, and developers from 30 countries in Latin America and the Caribbean registered for the conference.

These attendees weren’t simply absorbing high-level content — they were leading conversations.

Dozens of startup founders from emerging markets shared their innovations. Community leaders, major tech companies and nonprofits discussed their work to build resources for developers in the Caribbean, Latin America and Africa. And hands-on labs, training and networking sessions offered opportunities for attendees to boost their skills and ask questions of AI experts.

We’re still growing our emerging markets initiatives to better connect with developers worldwide. As we do so, we’ll incorporate three key takeaways from this GTC:

  1. Remove Barriers to Access

While in-person AI conferences typically draw attendees from around the world, these opportunities aren’t equally accessible to developers from every region.

Though Africa has the world’s fastest-growing community of AI developers, visa challenges have in recent years prevented some African researchers from attending AI conferences in the U.S. and Canada. And the cost of conference registrations, flights and hotel accommodations in major tech hubs can be prohibitive for many, even at discounted rates.

By making GTC21 virtual and free to register, we were able to welcome thousands of attendees and presenters from countries including Kenya, Zimbabwe, Trinidad and Tobago, Ghana and Indonesia.

  1. Spotlight Region-Specific Challenges, Successes

Opening access is just the first step. A developer from Nigeria faces different challenges than one in Norway, so global representation in conference speakers can help provide a diversity of perspectives. Relevant content that’s localized by topic or language can help cater to the unique needs of a specific audience and market.

The Emerging Markets Pavilion at GTC, hosted by NVIDIA Inception, our acceleration platform for AI startups, featured companies developing augmented reality apps for cultural tourism in Tunisia, smart video analytics in Lebanon and data science tools in Mexico, to name a few examples.

Several panel discussions brought together public sector reps, United Nations leads, community leaders and developer advocates from NVIDIA, Google, Amazon Web Services and other companies for discussions on how to bolster AI ecosystems around the world. And a session on AI in Africa focused on ways to further AI and data science education for a community that mostly learns through non-traditional pathways.

  1. Foster Opportunities to Learn and Connect

Developer groups in emerging markets are growing rapidly, with many building skills through online courses or community forums, rather than relying on traditional degree programs. One way we’re supporting this is by sponsoring AI hackathons in Africa with Zindi, an online forum that brings together thousands of developers to solve challenges for companies and governments across the continent.

The NVIDIA Developer Program includes tens of thousands of members from emerging markets — but there are hundreds of thousands more developers in these regions poised to take advantage of AI and accelerated applications to power their work.

To learn more about GTC, watch the replay of NVIDIA CEO Jensen Huang’s keynote address. Join the NVIDIA Developer Program for access to a wide variety of tools and training to accelerate AI, HPC and advanced graphics applications.

The post AI Gone Global: Why 20,000+ Developers from Emerging Markets Signed Up for GTC appeared first on The Official NVIDIA Blog.

OpenBSD 6.9 released

The OpenBSD project has released OpenBSD 6.9, the project's 50th release. As usual the release page offers highlights, installation and upgrade instructions as well as links to other resources such as the detailed changelog.

Notable improvements include, but are not limited to

Those upgrading from 6.8 or earlier releases should consult the Upgrade Guide.

Thanks to the developers for all the good work that went into this excellent new release!

While your install sets download or when your packages update, please take the time to look at and use one or more of the recommended ways to support the project, such as making a donation. You can also get merchandise and help OpenBSD visibility. Corporate entities may prefer sending some money in the direction of the OpenBSD Foundation, which is a Canadian non-profit corporation.

Around the World in AI Ways: Video Explores Machine Learning’s Global Impact

You may have used AI in your smartphone or smart speaker, but have you seen how it comes alive in an artist’s brush stroke, how it animates artificial limbs or assists astronauts in Earth’s orbit? The latest video in the “I Am AI” series — the annual scene setter for the keynote at NVIDIA’s GTC Read article >

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Around the World in AI Ways: Video Explores Machine Learning’s Global Impact

You may have used AI in your smartphone or smart speaker, but have you seen how it comes alive in an artist’s brush stroke, how it animates artificial limbs or assists astronauts in Earth’s orbit?

The latest video in the “I Am AI” series — the annual scene setter for the keynote at NVIDIA’s GTC — invites viewers on a journey through more than a dozen ways this new and powerful form of computing is expanding horizons.

Perhaps your smart speaker woke you up this morning to music from a distant radio station. Maybe you used AI in your smartphone to translate a foreign phrase in a book you’re reading.

A View of What’s to Come

These everyday use cases are becoming almost commonplace. Meanwhile, the frontiers of AI are extending to advance more critical needs.

In healthcare, the Bionic Vision Lab at UC Santa Barbara uses deep learning and virtual prototyping on NVIDIA GPUs to develop models of artificial eyes. They let researchers explore the potential and limits of a design for artificial eyes by viewing a model through a virtual-reality headset.

At Canada’s University of Waterloo, researchers are using AI to develop autonomous controls for exoskeleton legs that help users walk, climb stairs and avoid obstacles. Wearable cameras filter video through AI models trained on NVIDIA GPUs to recognize surrounding features such as stairs and doorways and then determine the best movements to take.

“Similar to autonomous cars that drive themselves, we’re designing autonomous exoskeletons that walk for themselves,” Brokoslaw Laschowski, a lead researcher on the ExoNet project, said in a recent blog.

Watch New Worlds Come to Life

In “I Am AI,” we meet Sofia Crespo who calls herself a generative artist. She blends and morphs images of jellyfish, corals and insects in videos that celebrate the diversity of life, using an emerging form of AI called generative adversarial networks and neural network models like GPT-2.

Sofia Crespo uses GANs
A fanciful creature created by artist Sofia Crespo using GANs.

“Can we use these technologies to dream up new biodiversities that don’t exist? What would these creatures look like?” she asks in a separate video describing her work.

See How AI Guards Ocean Life

“I Am AI” travels to Hawaii, Morocco, the Seychelles and the U.K., where machine learning is on the job protecting marine life from very real threats.

In Africa, the ATLAN Space project uses a fleet of autonomous drones with AI-powered computer vision to detect illegal fishing and ships dumping oil into the sea.

On the other side of the planet, the Maui dolphin is on the brink of extinction, with only 63 adults in the latest count. A nonprofit called MAUI63 uses AI in drones to identify individuals by their fin markings, tracking their movements so policy makers can take steps such as creating marine sanctuaries to protect them.

Taking the Planet’s Temperature

AI is also at work developing the big picture in planet ecology.

The video spotlights the Plymouth Marine Laboratory in the UK, where researchers use an NVIDIA DGX system to analyze data gathered on the state of our oceans. Their work contributes to the U.N. Sustainable Development Goals and other efforts to monitor the health of the seas.

A team of Stanford researchers is using AI to track wildfire risks. The video provides a snapshot of their work opening doors to deeper understandings of how ecosystems are affected by changes in water availability and climate.

Beam Me Up, NASA

The sky’s the limit with the Spaceborne Computer-2, a supercharged system made by Hewlett Packard Enterprise now installed in the International Space Station. It packs NVIDIA GPUs that astronauts use to monitor their health in real time and track objects in space and on Earth like a cosmic traffic copter.

The ISS now packs an NVIDIA GPU.
Astronauts use Spaceborne Computer-2 to run AI experiments on the ISS.

One of the coolest things about Spaceborne Computer-2 is you can suggest an experiment to run on it. HPE and NASA extended an open invitation for proposals, so Earth-bound scientists can expand the use of AI in space.

If these examples don’t blow the roof off your image of where machine learning might go next, check out the full “I Am AI” video below. It includes several more examples of other AI projects in art, science and beyond.

The post Around the World in AI Ways: Video Explores Machine Learning’s Global Impact appeared first on The Official NVIDIA Blog.

Update Complete: GFN Thursday Brings New Features, Games and More

No Thursday is complete without GFN Thursday, our weekly celebration of the news, updates and great games GeForce NOW members can play — all streaming from the cloud across nearly all of your devices. This week’s exciting updates to the GeForce NOW app and experience Include updated features, faster session loading and a bunch of Read article >

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Update Complete: GFN Thursday Brings New Features, Games and More

No Thursday is complete without GFN Thursday, our weekly celebration of the news, updates and great games GeForce NOW members can play — all streaming from the cloud across nearly all of your devices.

This week’s exciting updates to the GeForce NOW app and experience Include updated features, faster session loading and a bunch of new games joining the GFN library.

… Better, Faster, Stronger

There’s a lot happening behind the scenes as our team continuously works to improve your cloud-gaming experience with each session.

Our cloud-gaming engineers work to further improve your streaming sessions, optimize games and develop new features. We also continually refine the user experience in the GeForce NOW app, which is now rolling out version 2.0.29 with several improvements.

Game in the Fast Lane

From the Settings pane in the GeForce NOW app, you can link your Epic Games Store account to take advantage of some new features.
From the Settings pane in the GeForce NOW app, you can link your Epic Games Store account to take advantage of some new features.

One feature we’re currently testing with our Founders and Priority members is preloading, which loads parts of your game before you arrive so your launch times will be faster. Members testing this feature should see sessions launch up to a minute faster from the moment they click play in the GeForce NOW app. Free members are not guaranteed preloaded sessions and may see slightly longer startup times.

To enable the benefits of preloading, we’re also testing a new account linking feature which lets you play games without having to login into your game store account. Both the preloading and account linking features are currently enabled for Fortnite’s PC build on GeForce NOW. We anticipate an expansion of these features to more GeForce NOW games in the future.

PC, macOS and Chromebook users can enable the new account linking features from a new tile on the My Library row in-app. This takes you to the Settings pane, where you can turn on account linking for Fortnite under Connections. Once complete, you won’t need to log in to your Epic Account to play Fortnite’s PC build on any other supported GeForce NOW platform, and you’ll be eligible for preloaded sessions.

Find What You’re Looking For

We’re also improving search results in the app to make managing libraries easier and get members in games faster. Searching for games to add to libraries will now return full page search results, providing easier access to the game’s details and a quicker way to add it to your library.

The newest version of the GeForce NOW app includes improved search, account linking for Epic Games Store, and a whole lot more.

If you’re playing on GeForce NOW from a Chrome browser, we’ve recently added our in-game overlay.  The overlay lets members configure many in-stream features, such as FreeStyle filters, network labels, microphone toggles and ending game sessions. To bring up the overlay, using Ctrl + G for PC and Chromebook, or CMD + G for macOS.

And no GeForce NOW app update would be complete without squashed bugs. To get the full lowdown, check out the version 2.0.29 Release Highlights from the Settings pane in the app.

These updates are just a few of the improvements we’re working on. We have a ton more in store, and every update is designed to make sure that when GFN members play their favorite PC games from our cloud servers, they’re getting the best possible experience.

Rolling in the Deep (Silver)

We recently spoke with our friends at Deep Silver about new updates coming for KING Art Games’ Iron Harvest and 4A Games’ Metro Exodus: Enhanced Edition, both of which will be supported on GeForce NOW. Catch up on all the details here.

Get Your Game On

The latest in the classic R-Type series comes to GeForce NOW this week.

Finally, below are the games joining the GeForce NOW library this week. 

What do you think of the newest GeForce NOW updates? Let us know on Twitter or in the comments below.

The post Update Complete: GFN Thursday Brings New Features, Games and More appeared first on The Official NVIDIA Blog.