NVIDIA Deep Learning Institute Releases New Accelerated Data Science Teaching Kit for Educators

As data grows in volume, velocity and complexity, the field of data science is booming.

There’s an ever-increasing demand for talent and skillsets to help design the best data science solutions. However, expertise that can help drive these breakthroughs requires students to have a foundation in various tools, programming languages, computing frameworks and libraries.

That’s why the NVIDIA Deep Learning Institute has released the first version of its Accelerated Data Science Teaching Kit for qualified educators. The kit has been co-developed with Polo Chau, from the Georgia Institute of Technology, and Xishuang Dong, from Prairie View A&M University, two highly regarded researchers and educators in the fields of data science and accelerating data analytics with GPUs.

“Data science unlocks the immense potential of data in solving societal challenges and large-scale complex problems across virtually every domain, from business, technology, science and engineering to healthcare, government and many more,” Chau said.

The free teaching materials cover fundamental and advanced topics in data collection and preprocessing, accelerated data science with RAPIDS, GPU-accelerated machine learning, data visualization and graph analytics.

Content also covers culturally responsive topics such as fairness and data bias, as well as challenges and important individuals from underrepresented groups.

This first release of the Accelerated Data Science Teaching Kit includes focused modules covering:

  • Introduction to Data Science and RAPIDS
  • Data Collection and Pre-processing (ETL)
  • Data Ethics and Bias in Data Sets
  • Data Integration and Analytics
  • Data Visualization
  • Distributed Computing with Hadoop, Hive, Spark and RAPIDS

More modules are planned for future releases.

All modules include lecture slides, lecture notes and quiz/exam problem sets, and most modules include hands-on labs with included datasets and sample solutions in Python and interactive Jupyter notebook formats. Lecture videos will be included for all modules in later releases.

DLI Teaching Kits also come bundled with free GPU resources in the form of Amazon Web Services credits for educators and their students, as well as free DLI online, self-paced courses and certificate opportunities.

“Data science is such an important field of study, not just because it touches every domain and vertical, but also because data science addresses important societal issues relating to gender, race, age and other ethical elements of humanity,“ said Dong, whose school is a Historically Black College/University.

This is the fourth teaching kit released by the DLI, as part of its program that has reached 7,000 qualified educators so far. Learn more about NVIDIA Teaching Kits.

The post NVIDIA Deep Learning Institute Releases New Accelerated Data Science Teaching Kit for Educators appeared first on The Official NVIDIA Blog.

New Training Opportunities Now Available Worldwide from NVIDIA Deep Learning Institute Certified Instructors

For the first time ever, the NVIDIA Deep Learning Institute is making its popular instructor-led workshops available to the general public.

With the launch of public workshops this week, enrollment will be open to individual developers, data scientists, researchers and students. NVIDIA is increasing accessibility and the number of courses available to participants around the world. Anyone can learn from expert NVIDIA instructors in courses on AI, accelerated computing and data science.

Previously, DLI workshops were only available to large organizations that wanted dedicated and specialized training for their in-house developers, or to individuals attending GPU Technology Conferences.

But demand for in-depth training has increased dramatically in the last few years. Individuals are looking to acquire new skills and organizations are seeking to provide their workforces with advanced software development techniques.

“Our public workshops provide a great opportunity for individual developers and smaller organizations to get industry-leading training in deep learning, accelerated computing and data science,” said Will Ramey, global head of Developer Programs at NVIDIA. “Now the same expert instructors and world-class learning materials that help accelerate innovation at leading companies are available to everyone.”

The current lineup of DLI workshops for individuals includes:

March 2021

  • Fundamentals of Accelerated Computing with CUDA Python
  • Applications of AI for Predictive Maintenance

April 2021

  • Fundamentals of Deep Learning
  • Applications of AI for Anomaly Detection
  • Fundamentals of Accelerated Computing with CUDA C/C++
  • Building Transformer-Based Natural Language Processing Applications
  • Deep Learning for Autonomous Vehicles – Perception
  • Fundamentals of Accelerated Data Science with RAPIDS
  • Accelerating CUDA C++ Applications with Multiple GPUs
  • Fundamentals of Deep Learning for Multi-GPUs

May 2021

  • Building Intelligent Recommender Systems
  • Fundamentals of Accelerated Data Science with RAPIDS
  • Deep Learning for Industrial Inspection
  • Building Transformer-Based Natural Language Processing Applications
  • Applications of AI for Anomaly Detection

Visit the DLI website for details on each course and the full schedule of upcoming workshops, which is regularly updated with new training opportunities.

Jump-Start Your Software Development

As organizations invest in transforming their workforce to benefit from modern technologies, it’s critical that their software and solutions development teams are equipped with the right skills and tools. In a market where developers with the latest skills in deep learning, accelerated computing and data science are scarce, DLI strengthens their employees’ skillsets through a wide array of course offerings.

The full-day workshops offer a comprehensive learning experience that includes hands-on exercises and guidance from expert instructors certified by DLI. Courses are delivered virtually and in many time zones to reach developers worldwide. Courses are offered in English, Chinese, Japanese and other languages.

Registration fees cover learning materials, instructors and access to fully configured GPU-accelerated development servers for hands-on exercises.

A complete list of DLI courses are available in the DLI course catalog.

Register today for a DLI instructor-led workshop for individuals. Space is limited so sign up early.

For more information, visit the DLI website or email nvdli@nvidia.com.

The post New Training Opportunities Now Available Worldwide from NVIDIA Deep Learning Institute Certified Instructors appeared first on The Official NVIDIA Blog.

Intel Pledges $5M to Develop HBCU Tech Law and Policy Center

nccu 2x1 51689054
A photo shows law school students at North Carolina Central University (NCCU). Intel has announced a donation of $5 million over the next five years to the historically Black university. NCCU’s School of Law will use the donation to create a new tech law and policy center. (Editor’s note: Photo was taken in 2017, before COVID-19 pandemic. Currently, students, faculty and staff are required to wear face coverings and take full health and safety precautions. Credit: North Carolina Central University)

What’s New: As part of its commitment to build a more equitable world, Intel will donate $5 million over the next five years to North Carolina Central University (NCCU), a historically Black college and university (HBCU), to create a new tech law and policy center. Steven R. Rodgers, Intel’s general counsel, will join the law school’s board of visitors to help direct additional resources and support for the law school. Allon Stabinsky, Intel’s senior vice president and chief deputy general counsel, and Rhonda Foxx, Intel’s leader of social equity policies and engagements, will join the center’s advisory board to help shape its certificate program and curriculum development and drive further Intel engagements.

“As a company and industry, we need to do better to ensure legal and policy jobs are available to all communities, because talent is everywhere but opportunity is not. At the beginning of this year, we began to hold our legal counsel accountable to the Intel Rule, which states we will not retain or use outside law firms in the U.S. that are below average on diversity. And now, through this partnership, we will hold ourselves accountable for extending the talent pipeline. Our investment in NCCU is only the beginning, and we will continue our efforts to provide more equitable access to tech, legal and policy careers.”
–Steven R. Rodgers, Intel’s general counsel

How It Helps: Intel will provide legal and strategic expertise, faculty training, summer internships and Intel mentors to both students and faculty members. Students will engage directly with Intel executives who will serve as guest lecturers and provide practical legal experiences, networking and mentorship. Intel’s goal is to prepare the next generation of corporate attorneys by giving them exposure to corporate law on day one of their law school journey. Two first-year law students from NCCU will also participate in a summer associate program with Intel.

Why It’s Important: The new center will give more access to diverse professionals in legal and policy fields. It will address discriminatory laws and public policies that create structural and systemic inequities. According to the American Bar Association, about 5% of lawyers in the U.S. are Black. Additionally, 80% of Black judges and 50% of Black lawyers come from HBCUs, making these schools critical to diversifying legal and policy professions and ensuring greater opportunity to underrepresented demographics.

Historically, HBCUs have trailed other institutions in federal funding and corporate engagement. There are over 100 HBCUs across the nation, and NCCU is one of only six with a law school. Extending tech opportunities to HCBU law schools on the East Coast and in southern states is key to enhancing educational and economic equity. North Carolina is home to the most HBCUs, and NCCU, based in Durham, N.C., is close to the Research Triangle Park, making it a prime university for this engagement.

About the Policy and Law Center: Intel will contribute $1 million annually for five years. The first year’s allocation is geared toward helping build a strong foundation for the center. Approximately $400,000 will support the recruitment and hiring of an executive director and key staff, as well as other startup costs for the center. An additional $500,000 will go to support an endowed professorship. Also, Intel will contribute $100,000 toward need-based scholarships to help students experiencing financial hardship.

More Context: Intel made a commitment to not stand on the sidelines in the fight against inequality. The company pledged $1 million to address social justice and racism. To further this commitment, it has created global social equity principles and established the law and policy center as part of its economic equity goals. Intel’s actions also build on the company’s recently announced 2030 goals and Global Impact Challenges that reinforce its commitment to making technology fully inclusive and expand digital readiness. Intel is committed to enabling technology and people to build a more responsible, inclusive and sustainable world. Social equity is core to this work. These values are an essential part of the company’s corporate mission to create world-changing technologies that enrich the lives of every person on Earth. Social equity efforts such as this will help embed these values into critical public policies that will accelerate diversity and inclusion in the industry.

The post Intel Pledges $5M to Develop HBCU Tech Law and Policy Center appeared first on Intel Newsroom.

Intel’s 2021 Predictions for the Edge

Intel has been transforming computing at the edge for years – delivering customer value across a range of industries from health and life sciences to industrial to retail to telecommunications and beyond.

The next few years promise to be exciting as analysts predict that by 2023, approximately 75% of data will be created outside the data center – in cities, factories, hospitals and stores. And more than 50% of that data will be processed, stored and analyzed directly at the edge, helping to deliver better latency, bandwidth, reliability, security and privacy.

As artificial intelligence becomes more pervasive and networks transform to deliver 5G, Intel’s leaders expect the edge to drive tremendous business value while also improving daily lives.

Here are their predictions.

bolesChristine Boles
Vice President, Internet of Things Group, and General Manager, Industrial Solutions Division, Intel

Accelerating industrial transformation: “The pandemic has greatly accelerated the need for companies to complete their Industry 4.0 transformations with solutions that allow them to have more flexibility, visibility and efficiency in their operations. We’ll see an acceleration of adoption of solutions that help address that need, ranging from AI including machine learning, machine vision and advanced analytics. As the economy bounces back, we’ll continue to see investment in the foundational OT infrastructure with more IT capabilities to allow the broad ecosystem of players to deploy these solutions and will see Industry 4.0 adoption significantly ramp up in 2021.”

More context: The Fourth Industrial Revolution – Transformation and Adoption (webinar) | New forces and technologies are accelerating industrial transformation


echevarriaRick Echevarria
Vice President, Sales, Marketing, and Communications Group, and General Manager, Olympic Program, Intel

Transforming sports: “In 2021, AI, 5G and edge computing will help athletes improve their athletic performance while transforming the way fans experience their favorite sports in a safe and interactive way, whether virtually, over broadcast or with a safe return to in-person.”

More context: Intel Technology Propels Olympic Games Tokyo 2020 Into the Future


jensenJoe Jensen
Vice President, Internet of Things Group, and General Manager, Retail, Banking, Hospitality & Education, Intel

Rethinking education: “In 2021, shifting to Education-as-a-Service will become a priority, and I expect advances in education policy and investment to drive this concept forward. It will be critical to shift funding and allocations to schools to advance this service model, to ensure that affordable and high-quality education is accessible to all students. Longer-term, Education As-A-Service will become the standard for education across the globe.”

Accelerating seamless retail solutions: “Micro-fulfillment centers have enabled smaller retailers to keep up with online retail giants during the pandemic. Over the next year, we will see the ‘warehouse-ization’ of retail – with retailers shifting focus to fulfilling orders, whether they be groceries or consumer goods, at micro-fulfillment locations. This will provide a savings and operational boon especially for smaller retailers, for enabling decreased rents and customer foot traffic.

“In the long-term, retailers will continue to reply on seamless, convenient solutions like dark stores to cost effectively serve delivery customers. To be a ‘winner’ in the changing retail space, retailers must transform production methods in creative ways to meet customer expectations.”

More context: Bringing Learning Home In Record Time | Blended Learning Starts with People, Not Curriculum | How Interactive Learning Gets Done | The Transformation of Retail: Shaping a Seamless Customer Experience


quachAlex Quach
Vice President and General Manager, Wireline and Core Network, Intel

Virtualizing the network: “Virtualization in the core network will hit a tipping point growing from 50%, to more than 80% of core network workloads to be virtualized in 2024, and we also expect the majority of the leading 5G Operators to start 5G standalone Core Deployments in 2021.”

More context: SK Telecom Waxes 5G Standalone Core R&D With Intel |  Intel Expands 5G Network Infrastructure Offerings in a $25B Market


rodriguezCristina Rodriguez
Vice President and General Manager, Wireless Access Network Division, Intel

Transforming the network: “With the network transforming at high-speeds, 2021 will see Massive MIMO deployment on vRAN architecture at scale (i.e., beyond trial phase, at thousands of sites).”

More context: DISH Selects Intel for Its Groundbreaking 5G Buildout | Intel Plays Key Role in World’s First Successful End-to-End Virtualized 5G Data Session


sharmaSameer Sharma
General Manager, Smart Cities and Intelligent Transportation, Intel

Making cities smarter: “2021 will be a breakout year for smart and resilient cities, infrastructure and transportation. In the short-term, we’ll see a sharp increase of mid-size cities adopting smart cities technology, which will lead to the democratization of technology outside of the usual tech hubs. Longer-term, smart cities infrastructure will be adopted in more rural areas, as consumers start to see the benefits for quality of life.

“To reach this future, we’ll also see a ramp up in technology investments, from the Edge (AI) to the (5G) network to the cloud. As cities continue to recover from the pandemic, technology will be a key driver in ensuring progress and adoption of new business models, leading to economic growth.”

More context: Reimagining Life in a Post-Pandemic World (e-book) | The Pandemic Drives New Era of Tech Collaboration | Houston Depends on Intel Tech for Healthcare, Education and Connectivity Solutions


shulmanStacey Shulman
Vice President, Internet of Things Group, and General Manager, Health, Life Sciences and Emerging Technologies, Intel

Improving health outcomes: “One of the things that is currently holding the healthcare industry back is standardizing medical records and data sharing across organizations. Collaboration in the medical industry for the purpose of solving illness and health issues can be critical, especially when it comes to public health crises and tracking population health, as we have seen with the pandemic this year.

“In 2021, we will see improvement in the delivery models for information sharing, as emerging technologies such AI and federated learning become more ubiquitous in healthcare. In addition to powering innovations like telehealth, these technologies will accelerate and streamline the collaboration process, making it easier for healthcare professionals to deliver quality care to their patients as well as stay up to date on new treatment options.”

More context: Survey Shows Next Era of Healthcare Will Be Powered by AI | How Remote Care Gets Done

The post Intel’s 2021 Predictions for the Edge appeared first on Intel Newsroom.

AI for America: US Lawmakers Encourage ‘Massive Investment’ in Artificial Intelligence

The upcoming election isn’t the only thing on lawmakers’ minds. Several congressional representatives have been grappling with U.S. AI policy for years, and their work is getting closer to being made into law.

The issue is one of America’s greatest challenges and opportunities: What should the U.S. do to harness AI for the public good, to benefit citizens and companies, and to extend the nation’s prosperity?

At the GPU Technology Conference this week, a bipartisan panel of key members of Congress on AI joined Axios reporter Erica Pandey for our AI for America panel to explore their strategies. Representatives Robin Kelly of Illinois, Will Hurd of Texas and Jerry McNerney of California discussed the immense opportunities of AI, as well as challenges they see as policymakers.

The representatives’ varied backgrounds gave each a unique perspective. McNerney, who holds a Ph.D. in mathematics, considers AI from the standpoint of science and technology. Hurd was a CIA agent and views it through the lens of national security. Kelly is concerned about the impact of AI on the community, jobs and income.

All agreed that the federal government, private sector and academia must work together to ensure that the United States continues to lead in AI. They also agree that AI offers enormous benefits for American companies and citizens.

McNerny summed it up by saying: “AI will affect every part of American life.”

Educate the Public, Educate Ourselves

Each legislator recognized how AI will be a boon for everything from sustainable agriculture to improving the delivery of citizen services. But these will only become reality with support from the public and elected officials.

Kelly emphasized the importance of education — to overcome fear and give workers new skills. Noting that she didn’t have a technical background, she said she considers the challenge from a different perspective than developers.

“We have to educate people and we have to educate ourselves,” she said. “Each community will be affected differently by AI. Education will allay a lot of fears.”

All three agreed that the U.S. federal government, academia and the private sector must collaborate to create this cultural shift. “We need a massive investment in AI education,” said McNerney, who detailed some of the work done at the University of the Pacific to create AI curricula.

Hurd urged Congress to reevaluate and update existing educational programs, making it more flexible to develop programming and data science skills instead of focusing on a full degree. He said we need to “open up federal data for everyone to utilize and take advantage.”

The panel raised other important needs, such as bringing computer science classes into high schools across the country and training federal workers to build AI into their project planning.

Roadmap to a More Efficient Future

Many Americans may not be aware that AI is already a part of their daily lives. The representatives offered some examples, including how AI is being used to maximize crop yields by crunching data on soil characteristics, weather and water consumption.

Hurd and Kelly have been focused on AI policy for several years. Working with the Bipartisan Policy Center, they developed the National Strategy on AI, a policy framework that lays out a strategy for the U.S. to accelerate AI R&D and adoption.

They introduced a resolution, backed by a year of work and four white papers, that calls for investments to make GPUs and other computing resources available, strengthening international cooperation, increasing funding for R&D, building out workforce training programs, and developing AI in an ethical way that reduces bias and protects privacy.

Ned Finkle, vice president of government affairs at NVIDIA, voiced support for the resolution, noting that the requirements for AI are steep.

“AI requires staggering amounts of data, specialized training and massive computational resources,” he said. “With this resolution, Representatives Hurd and Kelly are presenting a solid framework for urgently needed investments in computing power, workforce training, AI curriculum development and data resources.”

McNerney is also working to spur AI development and adoption. His AI in Government Act, which would direct federal agencies to develop plans to adopt AI and evaluate resources available to academia, has passed the House of Representatives and is pending with the Senate.

As their legislation moves forward, the representatives encourage industry leaders to provide input and support their efforts. They urged those interested to visit their websites and reach out.

The post AI for America: US Lawmakers Encourage ‘Massive Investment’ in Artificial Intelligence appeared first on The Official NVIDIA Blog.

Do the Robot: Free Online Training, AI Certifications Make It Easy to Learn and Teach Robotics

On land, underwater, in the air — even underground and on other planets — new autonomous machines and the applications that run on them are emerging daily.

Robots are working on construction sites to improve safety, they’re on factory floors to enhance logistics and they’re roaming farm rows to pick weeds and harvest crops.

As AI-powered autonomous machines proliferate, a new generation of students and developers will play a critical role in teaching and training these robots how to behave in the real world.

To help people get started, we’ve announced the availability of free online training and AI-certification programs. Aptly timed with World Teacher’s Day, these resources open up the immense potential of AI and robotics teaching and learning.

And there’s no better way to get hands-on learning and experience than with the new Jetson Nano 2GB Developer Kit, priced at just $59. NVIDIA CEO Jensen Huang announced this ultimate starter AI computer during the GPU Technology Conference on Monday. Incredibly affordable, the Jetson Nano 2GB helps make AI accessible to everyone.

New AI Certification Programs for Teachers and Students

NVIDIA offers two AI certification tracks to educators, students and engineers looking to reskill. Both are part of the NVIDIA Deep Learning Institute:

  • NVIDIA Jetson AI Specialist: This certification can be completed by anyone and recognizes competency in Jetson and AI using a hands-on, project-based assessment. This track is meant for engineers looking to reskill and advanced learners to build on their knowledge.
  • NVIDIA Jetson AI Ambassador: This certification is for educators and leaders at robotics institutions. It recognizes competency in teaching AI on Jetson using a project-based assessment and an interview with the NVIDIA team. This track is ideal for educators or instructors to get fully prepared to teach AI to students.

Additionally, the Duckietown Foundation is offering a free edX course on AI and robotics based on the new NVIDIA Jetson Nano 2GB Developer Kit.

“NVIDIA’s Jetson AI certification materials thoroughly cover the fundamentals with the added advantage of hands-on project-based learning,” said Jack Silberman, Ph.D., lecturer at UC San Diego, Jacobs School of Engineering, Contextual Robotics Institute. “I believe these benefits provide a great foundation for students to prepare for university robotics courses and compete in robotics competitions.”

“We know how important it is to provide all students with opportunities to impact the future of technology,” added Christine Nguyen, STEM curriculum director at the Boys & Girls Club of Western Pennsylvania. “We’re excited to utilize the NVIDIA Jetson AI Specialist certification materials with our students as they work towards being leaders in the fields of AI and robotics.”

“Acquiring new technical skills with a hands-on approach to AI learning becomes critical as AIoT drives the demand for interconnected devices and increasingly complex industrial applications,” said Matthew Tarascio, vice president of Artificial Intelligence at Lockheed Martin. “We’ve used the NVIDIA Jetson platform as part of our ongoing efforts to train and prepare our global workforce for the AI revolution.”

By making it easy to “teach the teachers” with hands-on AI learning and experimentation, Jetson is enabling a new generation to build a smarter, safer AI-enabled future.

Watch NVIDIA CEO Jensen Huang recap autonomous machines news at GTC:

It’s not too late to get access to hundreds of live and on-demand talks at GTC. Register now through Oct. 9 using promo code CMB4KN to get 20 percent off.

The post Do the Robot: Free Online Training, AI Certifications Make It Easy to Learn and Teach Robotics appeared first on The Official NVIDIA Blog.

Hands-On AI: Duckietown Foundation Offering Free edX Robotics Course Powered by NVIDIA Jetson Nano 2GB

For many, the portal into AI is robotics. And one of the best ways to get good at robotics is to get hands on.

Roll up your sleeves, because this week at NVIDIA’s GPU Technology Conference, the Duckietown Foundation announced that it’s offering a free edX course on AI and robotics using the Duckiebot hardware platform powered by the new NVIDIA Jetson Nano 2GB Developer Kit.

The Duckietown project, which started as an MIT class in 2016, has evolved into an open-source platform for robotics and AI education, research and outreach. The project is coordinated by the Duckietown Foundation, whose mission is to reach and teach a wide audience of students about robotics and AI.

It does this through hands-on learning activities in which students put AI and robotics components together to address modern autonomy challenges for self-driving cars. Solutions are implemented in the Duckietown robotics ecosystem, where the interplay among theory, algorithms and deployment on real robots is witnessed firsthand in a model urban environment.

NVIDIA Jetson Nano 2GB Developer KitThe Jetson Nano 2GB Developer Kit has the performance and capability to run a diverse set of AI models and frameworks. This makes it the ultimate AI starter computer for learning and creating AI applications.

The new devkit is the latest offering in the NVIDIA Jetson AI at the Edge platform, which ranges from entry-level AI devices to advanced platforms for fully autonomous machines. To help people get started with robotics, NVIDIA also announced the availability of free online training and AI-certification programs.

“The Duckietown educational platform provides a hands-on, scaled down, accessible version of real world autonomous systems,” said Emilio Frazzoli, professor of Dynamic Systems and Control at ETH Zurich and advisor for the Duckietown Foundation. “Integrating NVIDIA’s Jetson Nano power in Duckietown enables unprecedented, affordable access to state-of-the-art compute solutions for learning autonomy.”

Another highlight of the course is the Duckietown Autolab remote infrastructure, which enables remote evaluation of robotic agents elaborated by learners with Duckiebot robots at home, providing feedback on assignments. This lets the course provide a realistic development flow with real hardware evaluation.

Duckiebot powered by Jetson Nano 2GB
Duckiebot powered by Jetson Nano 2GB.

Enrollment is now open for the free edX course, called “Self-Driving Cars with Duckietown,” which starts in February. To find out more about the technical specifications of the new NVIDIA powered Duckiebot or to pre-order, check out the Duckietown’s Store.

The AI Driving Olympics

For more advanced students, or for people who just want to witness the fun, Duckietown has created the “AI Driving Olympics” (AI-DO) competition. It focuses on autonomous vehicles with the objective of evaluating the state of the art in embodied AI, by benchmarking novel machine learning approaches to autonomy in a set of fun challenges.

AI-DO is made up of a series of increasingly complex tasks — from simple lane-following to fleet management. For each, competitors use various resources, such as simulation, logs, code templates, baseline implementations, and standardized physical autonomous Duckiebots operating in Duckietown, a formally defined urban environment.

Submissions are evaluated in simulation on the cloud, physically in remote Duckietown Autolabs, and running on actual Duckiebots at the live finals competition.

Participants can participate remotely at any stage of the competition. They just need to send their source code packaged as a Docker image. Team members will then be able to use Duckiebot’s “Autolabs,” which are facilities that allow remote experimentation in reproducible settings.

The next AI-DO race will be at NeurIPS, Dec. 6-12.

Duckietown classes and labs are offered at 80+ universities, including ETH Zürich and Université de Montréal. Curriculum materials for undergraduate and graduate courses are available open source. This includes weekly lecture plans, open source software, and a modular, do-it-yourself hardware smart city environment with autonomous driving car kits.

Watch NVIDIA CEO Jensen Huang recap all the autonomous machines news announced at GTC:

The post Hands-On AI: Duckietown Foundation Offering Free edX Robotics Course Powered by NVIDIA Jetson Nano 2GB appeared first on The Official NVIDIA Blog.

Swede-sational: Linköping University to Build Country’s Fastest AI Supercomputer

The land famed for its midsummer festivities and everyone’s favorite flatpack furniture store is about to add another jewel to its crown.

Linköping University, home to 36,000 staff and students, has announced its plans to build Sweden’s fastest AI supercomputer, based on the NVIDIA DGX SuperPOD computing infrastructure.

Carrying the name of renowned Swedish scientist Jacob Berzelius — considered to be one of the founders of modern chemistry — the new BerzeLiUs supercomputer will deliver 300 petaflops of AI performance to power state-of-the-art AI research and deep learning models.

The effort is spearheaded by a 300 million Swedish Krona ($33.6 million) donation from the Knut and Alice Wallenberg Foundation to accelerate Swedish AI research across academia and industry. The foundation heads the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP) network — the country’s largest private research initiative focused on AI innovation.

“I am extremely happy and proud that Linköping University will, through the National Supercomputer Centre, be host for this infrastructure”, says Jan-Ingvar Jönsson, vice-chancellor of Linköping University. “This gives us confidence that Sweden is not simply maintaining its international position, but also strengthening it.”

A Powerful New AI Resource

Hosting world-class supercomputers is nothing new for the team at Linköping University.

The Swedish National Supercomputer Center (NSC) already houses six traditional supercomputers on campus, with a combined total of 6 petaflops of performance. Included among these is Tetralith, which held the title of the most powerful supercomputer in the Nordics after its installation in 2018.

But with BerzeLiUs the team is making a huge leap.

“BerzeLiUs will be more than twice as fast as Tetralith,” confirmed Niclas Andersson, technical director at NSC. “This is a super-fast AI resource — the fastest computing cluster we have ever installed.”

The powerful new AI resource will boost collaboration between academia and leading Swedish industrial companies, primarily those financed by the Knut and Alice Wallenberg Foundation, such as the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP) as well as other life science and quantum technology initiatives.

Full Speed Ahead

Building a leading AI supercomputer usually can take years of planning and development. But by building BerzeLiUs with NVIDIA DGX SuperPOD technology, Linköping will be able to deploy the fully integrated system and start running complex AI models as the new year begins.

The system will be built and installed by Atos. Initially, the supercomputer will consist of 60 NVIDIA DGX A100 systems interconnected across an NVIDIA Mellanox InfiniBand fabric and 1.5 petabytes of high-performance storage from DDN. BerzeLiUs will also feature the Atos Codex AI Suite, enabling researchers to speed up processing times on their complex data.

“This new supercomputer will supercharge AI research in Sweden,” said Jaap Zuiderveld, vice president for EMEA at NVIDIA. “It will position Sweden as a leader in academic research, and it will give Swedish businesses a competitive edge in telecommunications, design, drug development, manufacturing and more industries.”

Join Linköping University at GTC

Dive deeper into the cutting-edge research performed at Linköping University. Join Anders Eklund, associate professor at Linköping University, and Joel Hedlund, data director at AIDA, to explore how AI is powering innovation in radiology and pathology imaging.

It’s not too late to get access to hundreds of live and on-demand talks at GTC. Register for GTC now through Oct. 9 using promo code CMB4KN to get 20 percent off. Academics, students, government, and nonprofit attendees join free when registering with their organization’s email address.

The post Swede-sational: Linköping University to Build Country’s Fastest AI Supercomputer appeared first on The Official NVIDIA Blog.

Get Trained, Go Deep: How Organizations Can Transform Their Workforce into an AI Powerhouse

Despite the pandemic putting in-person training on hold, organizations can still offer instructor-led courses to their staff to develop key skills in AI, data science and accelerated computing.

NVIDIA’s Deep Learning Institute offers many online courses that deliver hands-on training. One of its most popular — recently updated and retitled as The Fundamentals of Deep Learning — will be taken by hundreds of attendees at next week’s GPU Technology Conference, running Oct. 5-9.

Organizations interested in boosting the deep learning skills of their personnel can arrange to get their teams trained by requesting a workshop from the DLI Course Catalog.

“Technology professionals who take our revamped deep learning course will emerge with the basics they need to start applying deep learning to their most challenging AI and machine learning applications,” said Craig Clawson, director of Training Services at NVIDIA. “This course is a key building block for developing a cutting-edge AI skillset.”

Huge Demand for Deep Learning

Deep learning is at the heart of the fast-growing fields of machine learning and AI. This makes it a skill that’s in huge demand and has put companies across industries in a race to recruit talent. Linkedin recently reported that the fastest growing job category in the U.S. is AI specialist, with annual job growth of 74 percent and an average annual salary of $136,000.

For many organizations, especially those in the software, internet, IT, higher education and consumer electronics sectors, investing in upskilling current employees can be critical to their success while offering a path to career advancement and increasing worker retention.

Deep Learning Application Development-

With interest in the field heating up, a recent article in Forbes highlighted that AI and machine learning, data science and IoT are among the most in-demand skills tech professionals should focus on. In other words, tech workers who lack these skills could soon find themselves at a professional disadvantage.

By developing needed skills, employees can make themselves more valuable to their organizations. And their employers benefit by embedding machine learning and AI functionality into their products, services and business processes.

“Organizations are looking closely at how AI and machine learning can improve their business,” Clawson said. “As they identify opportunities to leverage these technologies, they’re hustling to either develop or import the required skills.”

Get a glimpse of the DLI experience in this short video:

DLI Courses: An Invaluable Resource

The DLI has trained more than 250,000 developers globally. It has continued to deliver a wide range of training remotely via virtual classrooms during the COVID-19 pandemic.

Classes are taught by DLI-certified instructors who are experts in their fields, and breakout rooms support collaboration among students, and interaction with the instructors.

And by completing select courses, students can earn an NVIDIA Deep Learning Institute certificate to demonstrate subject matter competency and support career growth.

It would be hard to exaggerate the potential that this new technology and the NVIDIA developer community holds for improving the world — and the community is growing faster than ever. It took 13 years for the number of registered NVIDIA developers to reach 1 million. Just two years later, it has grown to over 2 million.

Whether enabling new medical procedures, inventing new robots or joining the effort to combat COVID-19, the NVIDIA developer community is breaking new ground every day.

Courses like the re-imagined Fundamentals of Deep Learning are helping developers and data scientists deliver breakthrough innovations across a wide range of industries and application domains.

“Our courses are structured to give developers the skills they need to thrive as AI and machine learning leaders,” said Clawson. “What they take away from the courses, both for themselves and their organizations, is immeasurable.”

To get started on the journey of transforming your organization into an AI powerhouse, request a DLI workshop today.

What is deep learning? Read more about this core technology.

The post Get Trained, Go Deep: How Organizations Can Transform Their Workforce into an AI Powerhouse appeared first on The Official NVIDIA Blog.

AI in Schools: Sony Reimagines Remote Learning with Artificial Intelligence

Back to school was destined to look different this year.

With the world adapting to COVID-19, safety measures are preventing a return to in-person teaching in many places. Also, students learning through conventional video conferencing systems often feel the content is difficult to read, or teachers block the words written on presentation boards.

Faced with these challenges, educators at Prefectural University of Hiroshima in Japan envisioned a high-quality remote learning system with additional features not possible with traditional video conferencing.

They chose a distance-learning solution from Sony that links lecturers and students across their three campuses. It uses AI to make it easy for presenters anywhere to engage their audiences and impart information using captivating video. Thanks to these innovations, lecturers at Prefectural University can now teach students simultaneously on three campuses linked by a secure virtual private network.

Sony remote learning solution
Sony’s remote learning solution in action, with Edge Analytics Appliance, remote cameras and projectors.

AI Helps Lecturers Get Smarter About Remote Learning

At the heart of Prefectural’s distance learning system is Sony’s REA-C1000 Edge Analytics Appliance, which was developed using the NVIDIA Jetson Edge AI platform. The appliance lets teachers and speakers quickly create dynamic video presentations without using expensive video production gear or learning sophisticated software applications.

Sony’s exclusive AI algorithms run inside the appliance. These deep learning models employ techniques such as automatic tracking, zooming and cropping to allow non-specialists to produce engaging, professional-quality video in real time.

Users simply connect the Edge Analytics Appliance to a camera that can pan, tilt and zoom; a PC; and a display or recording device. In Prefectural’s case, multiple cameras capture what a lecturer writes on the board, questions and contributions from students, and up to full HD images depending on the size of the lecture hall.

Managing all of this technology is made simple for the lecturers. A touchscreen panel facilitates intuitive operation of the system without the need for complex adjustment of camera settings.

Sony remote learning solution

Teachers Achieve New Levels of Transparency

One of the landmark applications in the Edge Analytics Appliance is handwriting extraction, which lets students experience lectures more fully, rather than having to jot down notes.

The application uses a camera to record text and figures as an instructor writes them by hand on a whiteboard or blackboard, and then immediately draws them as if they are floating in front of the instructor.

Students viewing the lecture live from a remote location or from a recording afterward can see and recognize the text and diagrams, even if the original handwriting is unclear or hidden by the instructor’s body. The combined processing power of the compact, energy-efficient Jetson TX2 and Sony’s moving/unmoving object detection technology makes the transformation from the board to the screen seamless.

Handwriting extraction is also customizable: the transparency of the floating text and figures can be adjusted, so that characters that are faint or hard to read can be highlighted in color, making them more legible — and even more so than the original content written on the board.

Create Engaging Content Without Specialist Resources


Another innovative application is Chroma key-less CG overlay, using state-of-the-art algorithms from Sony, like moving-object detection, to produce class content without the need for large-scale video editing equipment.

Like a personal greenscreen for presenters, the application seamlessly places the speaker in front of any animations, diagrams or graphs being presented.

Previously, moving-object detection algorithms required for this kind of compositing could only be run on professional workstations. With Jetson TX2, Sony was able to include this powerful deep learning-based feature within the compact, simple design of the Edge Analytics Appliance.

A Virtual Camera Operator

Numerous additional algorithms within the appliance include those for color-pattern matching, shape recognition, pose recognition and more. These enable features such as:

  • PTZ Auto Tracking — automatically tracks an instructor’s movements and ensures they stay in focus.
  • Focus Area Cropping — crops a specified portion from a video recorded on a single camera and creates effects as if the cropped portion were recorded on another camera. This can be used to generate, for example, a picture-in-picture effect, where an audience can simultaneously see a close-up of the presenter speaking against a wide shot of the rest of the stage.
  • Close Up by Gesture — automatically zooms in on and records students or audience members who stand up in preparation to ask a question.

With the high-performance Jetson platform, the Edge Analytics Appliance can easily handle a wide range of applications like these. The result is like a virtual camera operator that allows people to create engaging, professional-looking video presentations without the expertise or expense previously required to do so.

Officials at Prefectural University of Hiroshima say the new distance learning initiative has already led to greater student and teacher satisfaction with remote learning. Linking the university’s three campuses through the system is also fostering a sense of unity among the campuses.

“We chose Sony’s Edge Analytics Appliance for our new distance learning design because it helps us realize a realistic and comfortable learning environment for students by clearly showing the contents on the board and encouraging discussion. It was also appealing as a cost-effective solution as teachers can simply operate without additional staff,” said Kyousou Kurisu, director of public university corporation, Prefectural University of Hiroshima.

Sony plans to continually update applications available on the Edge Analytics Appliance. So, like any student, the system will only get better over time.

The post AI in Schools: Sony Reimagines Remote Learning with Artificial Intelligence appeared first on The Official NVIDIA Blog.