AWS Announces Two New Initiatives That Make Machine Learning More Accessible

December 2, 2021

LAS VEGAS, Dec. 2, 2021– Wednesday, at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, announced two new initiatives designed to make machine learning more accessible for anyone interested in learning and experimenting with the technology. The AWS AI & ML Scholarship is a new education and scholarship program aimed at preparing underrepresented and underserved students globally for careers in machine learning. The program uses AWS DeepRacer and the new AWS DeepRacer Student League to teach students foundational machine learning concepts by giving them hands-on experience training machine learning models for autonomous race cars, while providing educational content centered on machine learning fundamentals. AWS is further increasing access to machine learning through Amazon SageMaker Studio Lab, which gives everyone access to a no-cost version of Amazon SageMaker—an AWS service that helps customers build, train, and deploy machine learning models.

“The two initiatives we are announcing today are designed to open up educational opportunities in machine learning to make it more widely accessible to anyone who is interested in the technology,” said Swami Sivasubramanian, Vice President of Amazon Machine Learning at AWS. “Machine learning will be one of the most transformational technologies of this generation. If we are going to unlock the full potential of this technology to tackle some of the world’s most challenging problems, we need the best minds entering the field from all backgrounds and walks of life. We want to inspire and excite a diverse future workforce through this new scholarship program and break down the cost barriers that prevent many from getting started with machine learning.”

New $10 million education and scholarship program is designed to prepare underrepresented and underserved students globally for careers in machine learning

The World Economic Forum estimates that technological advances and automation will create 97 million new technology jobs by 2025, including in the field of artificial intelligence and machine learning. While the job opportunities in technology are growing, diversity is lagging behind in science and technology careers. Making educational resources available to anyone interested in technology is critical to encouraging a more robust, diverse pipeline of people in artificial intelligence and machine learning careers. The new AWS AI & ML Scholarship aims to help underrepresented and underserved high school and college students learn foundational machine learning concepts and prepare them for careers in artificial intelligence and machine learning. In addition to no-cost access to dozens of hours of free machine learning model training and educational materials, 2,000 qualifying students from underrepresented and underserved communities will win a scholarship for the AI Programming with Python Udacity Nanodegree program, designed to give scholarship recipients the programming tools and techniques fundamental to machine learning. Graduates from the first Nanodegree program will be invited to take a technical assessment. Five hundred students who receive the highest scores in this assessment will earn a second Udacity Nanodegree program scholarship on deep learning and machine learning engineering to help further prepare them for a career in artificial intelligence and machine learning. These top 500 students will also have access to mentorship opportunities from tenured Amazon and Intel technology experts for career insights and advice.

Delivered in collaboration with Intel and supported by the talent transformation platform Udacity, the AWS AI & ML Scholarship program allows students from around the world to access dozens of hours of free training modules and tutorials on the basics of machine learning and its real-world applications. Students can use AWS DeepRacer to turn theory into hands-on action by learning how to train machine learning models to power a virtual race car. Students who successfully complete educational modules by passing knowledge-check quizzes, meet certain AWS DeepRacer lap time performance targets, and submit an essay will be considered for Udacity Nanodegree program scholarships. Students can also put their virtual race cars to the test in the new AWS DeepRacer Student League. The AWS DeepRacer Student League helps people of all skill levels learn how to build machine learning models with a fully autonomous 1/18th scale race car driven by machine learning, a 3D racing simulator, and a global competition. AWS DeepRacer has been used by enterprises like Capital One, BMW, Deloitte, JP Morgan Chase, Accenture, and Liberty Mutual to teach their employees to build, train, and deploy machine learning models in a hands-on way. To get started with the AWS AI & ML Scholarship, visit awsaimlscholarship.com.

Amazon SageMaker Studio Lab provides no-cost access to a machine learning development environment to put machine learning in the hands of everyone

Amazon SageMaker Studio Lab offers a free version of Amazon SageMaker, which is used by researchers and data scientists worldwide to build, train, and deploy machine learning models quickly. Amazon SageMaker Studio Lab removes the need to have an AWS account or provide billing details to get up and running with machine learning on AWS. Users simply sign up with an email address through a web browser, and Amazon SageMaker Studio Lab provides access to a machine learning development environment. Amazon SageMaker Studio Lab provides unlimited user sessions that include 15 gigabytes of persistent storage to store projects and up to 12 hours of CPU and four hours of GPU compute for training machine learning models at no cost. There are no cloud resources to build, scale, or manage with Amazon SageMaker Studio Lab, so users can start, stop, and restart working on machine learning projects as easily as closing and opening a laptop. When users are done experimenting and want to take their ideas to production, they can easily export their machine learning projects to Amazon SageMaker Studio to deploy and scale their models on AWS. Amazon SageMaker Studio Lab can be used as a no-cost learning environment for students or a no-cost prototyping environment for data scientists where everyone can quickly and easily start building and training machine learning models with no financial obligation or long-term commitments. To learn more about Amazon SageMaker Studio Lab, visit aws.amazon.com/sagemaker/studio-lab.

Earlier this year, Amazon announced a new Leadership Principle: Success and Scale Bring Broad Responsibility. AWS is scaling and investing in initiatives to live up to this new Leadership Principle, including Amazon’s commitment to provide 29 million people with access to free cloud computing skills training by 2025, science, technology, engineering, and math (STEM) education programs for young learners including Amazon Future Engineer, AWS Girls’ Tech Day, and AWS GetIT, as well as collaborations with colleges and universities. Now, AWS is making it easier for more people from underrepresented groups and underserved populations to get started with machine learning—with free education, scholarships, and access to the same machine learning technology used by the world’s leading startups, research institutions, and enterprises. The two initiatives announced today further advance Amazon’s efforts to make education and training opportunities widely accessible.

AWS and Intel have a 15-year relationship dedicated to developing, building, and supporting cloud services that are designed to manage cost and complexity, accelerate business outcomes, and scale to meet current and future computing requirements. “As an industry, we must do more to create a diverse and inclusive tech workforce,” said Michelle Johnston Holthaus, Executive Vice President and GM of the Sales, Marketing, and Communications Group at Intel. “Intel is proud to support initiatives like the AWS AI & ML Scholarship program, which aligns with our commitment to provide more access to STEM opportunities for underrepresented groups and helps diversify the future generation of machine learning practitioners. What makes this education and scholarship program unique is that students are given access to a rich set of learning materials at the outset. This is critical to really move the needle. Learning isn’t contingent on winning but instead part of the process.”

Girls in Tech is a global nonprofit organization dedicated to eliminating the gender gap in tech. “Driving diversity in machine learning requires intentional programs that create opportunities and break down barriers like the new AWS AI & ML Scholarship program,” said Adriana Gascoigne, Founder and CEO of Girls in Tech. “Progress in bringing more women and underrepresented communities into the field of machine learning will only be achieved if everyone works together to close the diversity gap. Girls in Tech is glad to see multi-faceted programs like the AWS AI & ML Scholarship to help close the gap in machine learning education and open career potential among these groups.”

Hugging Face is an AI community for building, training, and deploying state of the art models powered by the reference open source in machine learning. “At Hugging Face, our mission is to democratize state of the art machine learning,” said Jeff Boudier, Director of Product Marketing at Hugging Face. “With Amazon SageMaker Studio Lab, AWS is doing just that by enabling anyone to learn and experiment with ML through a web browser, without the need for a high-powered PC or a credit card to get started. This makes ML more accessible and easier to share with the community. We are excited to be part of this launch and contribute Hugging Face transformers examples and resources to make ML even more accessible!”

Santa Clara University’s mission with the Department of Finance is to educate students, at the undergraduate and graduate levels, to serve their organizations and society in the Jesuit tradition. “Amazon SageMaker Studio Lab will help my students learn the building blocks of machine learning by removing the cloud configuration steps required to get started. Now, in my natural language processing classes, students have more time to enhance their skills,” said Sanjiv Das, Professor of Finance and Data Science at Santa Clara University. “Amazon SageMaker Studio Lab enables students to onboard to AWS quickly, work and experiment for a few hours, and easily pick up where they left off. Amazon SageMaker Studio Lab brings the ease of use of Jupyter notebooks in the cloud to both beginner and advanced students studying machine learning.”

University of Pennsylvania Engineering is the birthplace of the modern computer. It was there that ENIAC, the world’s first electronic, large-scale, general-purpose digital computer, was developed in 1946. For over 70 years, the field of computer science at Penn has been marked by exciting innovations. “One of the hardest parts about programming with machine learning is configuring the environment to build. Students usually have to choose the compute instances, security polices, and provide a credit card,” said Dan Roth, Professor of Computer and Information Science at University of Pennsylvania. “My students needed Amazon SageMaker Studio Lab to abstract away all of the complexity of setup and provide a free powerful sandbox to experiment. This lets them write code immediately without needing to spend time configuring the ML environment.”

About Amazon Web Services

For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 81 Availability Zones (AZs) within 25 geographic regions, with announced plans for 27 more Availability Zones and nine more AWS Regions in Australia, Canada, India, Indonesia, Israel, New Zealand, Spain, and Switzerland, and the United Arab Emirates. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.


Source: AWS

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Meta’s Massive New AI Supercomputer Will Be ‘World’s Fastest’

January 24, 2022

Fresh off its rebrand last October, Meta (née Facebook) is putting muscle behind its vision of a metaversal future with a massive new AI supercomputer called the AI Research SuperCluster (RSC). Meta says that RSC will b Read more…

Supercomputer Analysis Shows the Atmospheric Reach of the Tonga Eruption

January 21, 2022

On Saturday, an enormous eruption on the volcanic islands of Hunga Tonga and Hunga Haʻapai shook the Pacific Ocean. The explosion, which could be heard six thousand miles away in Alaska, caused tsunamis across the entir Read more…

NSB Issues US State of Science and Engineering 2022 Report

January 20, 2022

This week the National Science Board released its biannual U.S. State of Science and Engineering 2022 report, as required by the NSF Act. Broadly, the report presents a near-term view of S&E based mostly on 2019 data. To a large extent, this year’s edition echoes trends from the last few reports. The U.S. is still a world leader in R&D spending and S&E education... Read more…

Researchers Achieve 99 Percent Quantum Accuracy with Silicon-Embedded Qubits 

January 20, 2022

Researchers in Australia and the U.S. have made exciting headway in the quantum computing arms race. A multi-institutional team including the University of New South Wales and Sandia National Laboratory announced that th Read more…

Trio of Supercomputers Powers Estimate of Carbon in Earth’s Outer Core

January 20, 2022

Carbon is one of the essential building blocks of life on Earth, and it—along with hydrogen, nitrogen and oxygen—is one of the key elements researchers look for when they search for habitable planets and work to unde Read more…

AWS Solution Channel

shutterstock 718231072

Accelerating drug discovery with Amazon EC2 Spot Instances

This post was contributed by Cristian Măgherușan-Stanciu, Sr. Specialist Solution Architect, EC2 Spot, with contributions from Cristian Kniep, Sr. Developer Advocate for HPC and AWS Batch at AWS, Carlos Manzanedo Rueda, Principal Solutions Architect, EC2 Spot at AWS, Ludvig Nordstrom, Principal Solutions Architect at AWS, Vytautas Gapsys, project group leader at the Max Planck Institute for Biophysical Chemistry, and Carsten Kutzner, staff scientist at the Max Planck Institute for Biophysical Chemistry. Read more…

Multiverse Targets ‘Quantum Computing for the Masses’

January 19, 2022

The race to deliver quantum computing solutions that shield users from the underlying complexity of quantum computing is heating up quickly. One example is Multiverse Computing, a European company, which today launched the second financial services product in its Singularity product group. The new offering, Fair Price, “delivers a higher accuracy in fair price calculations for financial... Read more…

Meta’s Massive New AI Supercomputer Will Be ‘World’s Fastest’

January 24, 2022

Fresh off its rebrand last October, Meta (née Facebook) is putting muscle behind its vision of a metaversal future with a massive new AI supercomputer called t Read more…

Supercomputer Analysis Shows the Atmospheric Reach of the Tonga Eruption

January 21, 2022

On Saturday, an enormous eruption on the volcanic islands of Hunga Tonga and Hunga Haʻapai shook the Pacific Ocean. The explosion, which could be heard six tho Read more…

NSB Issues US State of Science and Engineering 2022 Report

January 20, 2022

This week the National Science Board released its biannual U.S. State of Science and Engineering 2022 report, as required by the NSF Act. Broadly, the report presents a near-term view of S&E based mostly on 2019 data. To a large extent, this year’s edition echoes trends from the last few reports. The U.S. is still a world leader in R&D spending and S&E education... Read more…

Multiverse Targets ‘Quantum Computing for the Masses’

January 19, 2022

The race to deliver quantum computing solutions that shield users from the underlying complexity of quantum computing is heating up quickly. One example is Multiverse Computing, a European company, which today launched the second financial services product in its Singularity product group. The new offering, Fair Price, “delivers a higher accuracy in fair price calculations for financial... Read more…

Students at SC21: Out in Front, Alongside and Behind the Scenes

January 19, 2022

The Supercomputing Conference (SC) is one of the biggest international conferences dedicated to high-performance computing, networking, storage and analysis. SC Read more…

Q-Ctrl – Tackling Quantum Hardware’s Noise Problems with Software

January 13, 2022

Implementing effective error mitigation and correction is a critical next step in advancing quantum computing. While a lot of attention has been given to effort Read more…

Nvidia Defends Arm Acquisition Deal: a ‘Once-in-a-Generation Opportunity’

January 13, 2022

GPU-maker Nvidia is continuing to try to keep its proposed acquisition of British chip IP vendor Arm Ltd. alive, despite continuing concerns from several governments around the world. In its latest action, Nvidia filed a 29-page response to the U.K. government to point out a list of potential benefits of the proposed $40 billion deal. Read more…

Nvidia Buys HPC Cluster Management Company Bright Computing

January 10, 2022

Graphics chip powerhouse Nvidia today announced that it has acquired HPC cluster management company Bright Computing for an undisclosed sum. Unlike Nvidia’s bid to purchase semiconductor IP company Arm, which has been stymied by regulatory challenges, the Bright deal is a straightforward acquisition that aims to expand... Read more…

IonQ Is First Quantum Startup to Go Public; Will It be First to Deliver Profits?

November 3, 2021

On October 1 of this year, IonQ became the first pure-play quantum computing start-up to go public. At this writing, the stock (NYSE: IONQ) was around $15 and its market capitalization was roughly $2.89 billion. Co-founder and chief scientist Chris Monroe says it was fun to have a few of the company’s roughly 100 employees travel to New York to ring the opening bell of the New York Stock... Read more…

US Closes in on Exascale: Frontier Installation Is Underway

September 29, 2021

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, held by Zoom this week (Sept. 29-30), it was revealed that the Frontier supercomputer is currently being installed at Oak Ridge National Laboratory in Oak Ridge, Tenn. The staff at the Oak Ridge Leadership... Read more…

AMD Launches Milan-X CPU with 3D V-Cache and Multichip Instinct MI200 GPU

November 8, 2021

At a virtual event this morning, AMD CEO Lisa Su unveiled the company’s latest and much-anticipated server products: the new Milan-X CPU, which leverages AMD’s new 3D V-Cache technology; and its new Instinct MI200 GPU, which provides up to 220 compute units across two Infinity Fabric-connected dies, delivering an astounding 47.9 peak double-precision teraflops. “We're in a high-performance computing megacycle, driven by the growing need to deploy additional compute performance... Read more…

Intel Reorgs HPC Group, Creates Two ‘Super Compute’ Groups

October 15, 2021

Following on changes made in June that moved Intel’s HPC unit out of the Data Platform Group and into the newly created Accelerated Computing Systems and Graphics (AXG) business unit, led by Raja Koduri, Intel is making further updates to the HPC group and announcing... Read more…

Nvidia Buys HPC Cluster Management Company Bright Computing

January 10, 2022

Graphics chip powerhouse Nvidia today announced that it has acquired HPC cluster management company Bright Computing for an undisclosed sum. Unlike Nvidia’s bid to purchase semiconductor IP company Arm, which has been stymied by regulatory challenges, the Bright deal is a straightforward acquisition that aims to expand... Read more…

D-Wave Embraces Gate-Based Quantum Computing; Charts Path Forward

October 21, 2021

Earlier this month D-Wave Systems, the quantum computing pioneer that has long championed quantum annealing-based quantum computing (and sometimes taken heat fo Read more…

Killer Instinct: AMD’s Multi-Chip MI200 GPU Readies for a Major Global Debut

October 21, 2021

AMD’s next-generation supercomputer GPU is on its way – and by all appearances, it’s about to make a name for itself. The AMD Radeon Instinct MI200 GPU (a successor to the MI100) will, over the next year, begin to power three massive systems on three continents: the United States’ exascale Frontier system; the European Union’s pre-exascale LUMI system; and Australia’s petascale Setonix system. Read more…

Three Chinese Exascale Systems Detailed at SC21: Two Operational and One Delayed

November 24, 2021

Details about two previously rumored Chinese exascale systems came to light during last week’s SC21 proceedings. Asked about these systems during the Top500 media briefing on Monday, Nov. 15, list author and co-founder Jack Dongarra indicated he was aware of some very impressive results, but withheld comment when asked directly if he had... Read more…

Leading Solution Providers

Contributors

Lessons from LLVM: An SC21 Fireside Chat with Chris Lattner

December 27, 2021

Today, the LLVM compiler infrastructure world is essentially inescapable in HPC. But back in the 2000 timeframe, LLVM (low level virtual machine) was just getting its start as a new way of thinking about how to overcome shortcomings in the Java Virtual Machine. At the time, Chris Lattner was a graduate student of... Read more…

2021 Gordon Bell Prize Goes to Exascale-Powered Quantum Supremacy Challenge

November 18, 2021

Today at the hybrid virtual/in-person SC21 conference, the organizers announced the winners of the 2021 ACM Gordon Bell Prize: a team of Chinese researchers leveraging the new exascale Sunway system to simulate quantum circuits. The Gordon Bell Prize, which comes with an award of $10,000 courtesy of HPC pioneer Gordon Bell, is awarded annually... Read more…

Nvidia Defends Arm Acquisition Deal: a ‘Once-in-a-Generation Opportunity’

January 13, 2022

GPU-maker Nvidia is continuing to try to keep its proposed acquisition of British chip IP vendor Arm Ltd. alive, despite continuing concerns from several governments around the world. In its latest action, Nvidia filed a 29-page response to the U.K. government to point out a list of potential benefits of the proposed $40 billion deal. Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

Top500: No Exascale, Fugaku Still Reigns, Polaris Debuts at #12

November 15, 2021

No exascale for you* -- at least, not within the High-Performance Linpack (HPL) territory of the latest Top500 list, issued today from the 33rd annual Supercomputing Conference (SC21), held in-person in St. Louis, Mo., and virtually, from Nov. 14–19. "We were hoping to have the first exascale system on this list but that didn’t happen," said Top500 co-author... Read more…

TACC Unveils Lonestar6 Supercomputer

November 1, 2021

The Texas Advanced Computing Center (TACC) is unveiling its latest supercomputer: Lonestar6, a three peak petaflops Dell system aimed at supporting researchers Read more…

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire