NVIDIA’s Marc Hamilton on Building Cambridge-1 Supercomputer During Pandemic

Since NVIDIA announced construction of the U.K.’s most powerful AI supercomputer — Cambridge-1 — Marc Hamilton, vice president of solutions architecture and engineering, has been (remotely) overseeing its building across the pond.

The system, which will be available for U.K. healthcare researchers to work on pressing problems, is being built on NVIDIA DGX SuperPOD architecture for a whopping 400 petaflops of AI performance.

Located at Kao Data, a data center using 100 percent renewable energy, Cambridge-1 would rank among the world’s top three most energy-efficient supercomputers on the latest Green500 list.

Hamilton points to the concentration of leading healthcare companies in the U.K. as a primary reason for NVIDIA’s decision to build Cambridge-1.

AstraZeneca, GSK, Guy’s and St Thomas’ NHS Foundation Trust, King’s College London, and Oxford Nanopore have already announced their intent to harness the supercomputer for research in the coming months.

Construction has been progressing at NVIDIA’s usual speed-of-light pace, with just final installations and initial tests remaining.

Hamilton promises to provide the latest updates on Cambridge-1 at GTC 2021.

Key Points From This Episode:

  • Hamilton gives listeners an explainer on Cambridge-1’s scalable units, or building blocks — NVIDIA DGX A100 systems — and how just 20 of them can provide the equivalent of hundreds of CPUs.
  • NVIDIA intends for Cambridge-1 to accelerate corporate research in addition to that of universities. Among them are King’s College London, which has already announced that it’ll be using the system.

Tweetables:

“With only 20 [DGX A100] servers, you can build one of the top 500 supercomputers in the world” — Marc Hamilton [9:14]

“This is the first time we’re taking an NVIDIA supercomputer by our engineers and opening it up to our partners, to our customers, to use” — Marc Hamilton [10:17]

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The post NVIDIA’s Marc Hamilton on Building Cambridge-1 Supercomputer During Pandemic appeared first on The Official NVIDIA Blog.

NVIDIA’s Marc Hamilton on Building Cambridge-1 Supercomputer During Pandemic

Since NVIDIA announced construction of the U.K.’s most powerful AI supercomputer — Cambridge-1 — Marc Hamilton, vice president of solutions architecture and engineering, has been (remotely) overseeing its building across the pond. The system, which will be available for U.K. healthcare researchers to work on pressing problems, is being built on NVIDIA DGX SuperPOD architecture Read article >

The post NVIDIA’s Marc Hamilton on Building Cambridge-1 Supercomputer During Pandemic appeared first on The Official NVIDIA Blog.

Miracle Qure: Founder Pooja Rao Talks Medical Technology at Qure.ai

Pooja Rao, a doctor, data scientist and entrepreneur, wants to make cutting-edge medical care available to communities around the world, regardless of their resources. Her startup, Qure.ai, is doing exactly that, with technology that’s used in 150+ healthcare facilities in 27 countries.

Rao is the cofounder and head of research and development at the Mumbai-based company, which started in 2016. Qure.ai is also a member of the NVIDIA Inception startup accelerator program. The company develops AI technology that interprets medical images, with a focus on pulmonary and neurological scans.

Qure.ai technology has proven extremely useful in rapidly diagnosing tuberculosis, a disease that infects millions each year and can cause death if not treated early. By providing fast diagnoses and compensating in areas with fewer trained healthcare professionals, Qure.ai is saving lives.

Their AI is also helping to prioritize critical cases in teleradiology. Teleradiologists remotely analyze large volumes of medical images, with no way of knowing which scans might portray a time-sensitive issue, such as a brain hemorrhage. Qure.ai technology analyzes and prioritizes the scans for teleradiologists, reducing the time it takes them to read critical cases by 97 percent, according to Rao.

Right now, a major focus is helping fight COVID-19 — Qure.ai’s AI tool qXR is helping monitor disease progression and provide a risk score, aiding triage decisions.

In the future, Rao anticipates eventually building Qure.ai technology into medical imaging machinery to identify areas that need to be photographed more closely.

Key Points From This Episode:

  • Qure.ai has just received its first U.S. FDA approval. Its technology has also been acknowledged by the World Health Organization, which recently officially endorsed AI as a means to diagnose tuberculosis, especially in areas with fewer healthcare professionals.
  • Because Qure.ai’s mission is to create AI technology that can function in areas with limited resources, it has built systems that have learned to work with patchy internet and images that aren’t of the highest quality.
  • In order to be a global tool, Qure.ai partnered with universities and hospitals to train on data from patients of different genders and ethnicities from around the world.

Tweetables:

“You can have the fanciest architectures, but at some point it really becomes about the quality, the quantity and the diversity of the training data.” — Pooja Rao [7:46]

“I’ve always thought that the point of studying medicine was to be able to improve it — to develop new therapies and technology.” — Pooja Rao [18:57]

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The post Miracle Qure: Founder Pooja Rao Talks Medical Technology at Qure.ai appeared first on The Official NVIDIA Blog.

Miracle Qure: Founder Pooja Rao Talks Medical Technology at Qure.ai

Pooja Rao, a doctor, data scientist and entrepreneur, wants to make cutting-edge medical care available to communities around the world, regardless of their resources. Her startup, Qure.ai, is doing exactly that, with technology that’s used in 150+ healthcare facilities in 27 countries. Rao is the cofounder and head of research and development at the Mumbai-based Read article >

The post Miracle Qure: Founder Pooja Rao Talks Medical Technology at Qure.ai appeared first on The Official NVIDIA Blog.

Making Machines More Human: Author Brian Christian Talks the Alignment Problem

Not many can claim to be a computer programmer, nonfiction author and poet, but Brian Christian has established himself as all three.

Christian has just released his newest book, The Alignment Problem, which delves into the disparity that occurs when AI models don’t do exactly what they’re intended to do.

The book follows on the success of Christian’s previous work, The Most Human Human and Algorithms to Live By. Now a visiting scholar at UC Berkeley, Christian joined AI Podcast host Noah Kravitz to talk about the alignment problem and some new techniques being used to address the issue.

The alignment problem can be caused by a range of reasons — such as data bias, or datasets used incorrectly and out of context. As AI takes on a variety of tasks, from medical diagnostics to parole sentencing decisions, machine learning researchers are expressing concern over the problem.

Listen to the full podcast to hear about this and more — including Christian’s book club experience with Elon Musk and why he chose to double major in philosophy and computer science.

Key Points From This Episode:

  • The Alignment Problem features insights from hundreds of interviews Christian did with those he calls “first responders” to the ethical and scientific concerns surrounding the issue. He believes this group is evolving into a new interdisciplinary field.
  • Christian is also director of technology at McSweeney’s Publishing and scientific communicator in residence at Simon’s Institute for the Theory of Computing. He talks to Kravitz about how he managed to combine his love for both computer science and creative writing in his current career.

Tweetables:

“Philosophy and computer science are really on a collision course.” — Brian Christian [20:23]

“This new interdisciplinary field, thinking about … how exactly are we going to get human norms into these ML systems.” — Brian Christian [26:25]

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The post Making Machines More Human: Author Brian Christian Talks the Alignment Problem appeared first on The Official NVIDIA Blog.

Making Machines More Human: Author Brian Christian Talks the Alignment Problem

Not many can claim to be a computer programmer, nonfiction author and poet, but Brian Christian has established himself as all three. Christian has just released his newest book, The Alignment Problem, which delves into the disparity that occurs when AI models don’t do exactly what they’re intended to do. The book follows on the Read article >

The post Making Machines More Human: Author Brian Christian Talks the Alignment Problem appeared first on The Official NVIDIA Blog.

Take Note: Otter.ai CEO Sam Liang on Bringing Live Captions to a Meeting Near You

Sam Liang is making things easier for the creators of the NVIDIA AI Podcast — and just about every remote worker. He’s the CEO and co-founder of Otter.ai, which uses AI to produce speech-to-text transcriptions in real time or from recording uploads. The platform has a range of capabilities, from differentiating between multiple people, to Read article >

The post Take Note: Otter.ai CEO Sam Liang on Bringing Live Captions to a Meeting Near You appeared first on The Official NVIDIA Blog.

Take Note: Otter.ai CEO Sam Liang on Bringing Live Captions to a Meeting Near You

Sam Liang is making things easier for the creators of the NVIDIA AI Podcast — and just about every remote worker.

He’s the CEO and co-founder of Otter.ai, which uses AI to produce speech-to-text transcriptions in real time or from recording uploads. The platform has a range of capabilities, from differentiating between multiple people, to understanding accents, to parsing through various background noises.

And now, Otter.ai is making live captioning possible on a variety of platforms, including Zoom, Skype and Microsoft Teams. Even Liang’s conversation with AI Podcast host Noah Kravitz was captioned in real time over Skype.

This new capability has been enthusiastically received by remote workers — Liang says that Otter.ai has already transcribed tens of millions of meetings.

Liang envisions even more practical effects of Otter.ai’s live captions. The platform can already identify keywords. Soon he thinks it’ll be recognizing action items, helping manage agendas and providing notifications.

Key Points From This Episode:

  • Otter.ai was founded in 2016 and is Liang’s second startup, after Alohar, a company focused on mobile behavior services. Once Alohar was acquired, Liang reflected that he needed better tools to help transcribe and share meetings, inspiring him to found Otter.ai.
  • The company’s AI model was built from scratch. Although Siri and Alexa predate it, Otter.ai needed to comprehend multiple voices that could overlap and vary in accents — a different, more complex task than understanding and responding to just one voice.

Tweetables:

“Though it’s been growing steadily before COVID, people have been using Otter on their laptop or on iOS or Android devices … you can use it anywhere.” — Sam Liang [7:32]

“Otter is your new meeting assistant. People will have the peace of mind that they don’t have to write down everything themselves.” — Sam Liang [22:07]

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The post Take Note: Otter.ai CEO Sam Liang on Bringing Live Captions to a Meeting Near You appeared first on The Official NVIDIA Blog.

In a Quarantine Slump? How One High School Student Used AI to to Stay on Track

Canadian high schooler Ana DuCristea has a clever solution for the quarantine slump. Using AI and natural language processing, she programmed an app capable of setting customizable reminders so you won’t miss any important activities, like baking banana bread or whipping up Dalgona coffee. The project’s emblematic of how a new generation – with access Read article >

The post In a Quarantine Slump? How One High School Student Used AI to to Stay on Track appeared first on The Official NVIDIA Blog.

In a Quarantine Slump? How One High School Student Used AI to to Stay on Track

Canadian high schooler Ana DuCristea has a clever solution for the quarantine slump.

Using AI and natural language processing, she programmed an app capable of setting customizable reminders so you won’t miss any important activities, like baking banana bread or whipping up Dalgona coffee.

The project’s emblematic of how a new generation – with access to powerful technology and training — approaches the once exotic domain of AI.

A decade ago, deep learning was the stuff of elite research labs with big budgets.

Now it’s the kind of thing a smart, motivated high school student can knock out to solve a tangible problem.

DuCristea’s been interested in coding from childhood, and spends her spare time teaching herself new skills and taking online AI courses. After winning a Jetson Nano Developer Kit this summer at AI4ALL, an AI camp, she set to work remedying one of her pet peeves — the limited functionality of reminder applications.

She’s long envisioned a more useful app that could snooze for more specific lengths of time, and set reminders for specific tasks, dates and times. Using the Nano and her background on Python, DuCristea spent her after-school hours creating an app that does just that.

With the app, users can message a bot on Discord requesting a reminder for a specific task, date and time. DuCristea has shared the app’s code on Github, and is planning to continue training it to increase its accuracy and capabilities.

Key Points From This Episode:

Her first hands-on experience with the Jetson Nano has only strengthened her intent to pursue software or computer engineering at college, where she’ll continue to learn more about what area of STEM she’d like to focus on.

  • DuCristea’s interest in programming and electronics started at age nine, when her father gifted her a book on Python and she found it so interesting that she worked through it in a week. Since then, she’s taken courses on coding and shares her most recent projects on GitHub.
  • Programming the app took some creativity, as DuCristea didn’t have a large dataset to train on. After trying neural networks and vectorization, she eventually found that template searches worked best for her limited list of examples.

Tweetables:

“There’s so many programs, even exclusively for girls now in STEM — I would say go for them.” — Ana DuCristea [14:55]

“The Jetson Nano is a lot more accessible than most things in AI right now.” — Ana DuCristea [18:51]

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Get the AI Podcast through iTunes, Google Podcasts, Google Play, Castbox, DoggCatcher, Overcast, PlayerFM, Pocket Casts, Podbay, PodBean, PodCruncher, PodKicker, Soundcloud, Spotify, Stitcher and TuneIn. If your favorite isn’t listed here, drop us a note.

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The post In a Quarantine Slump? How One High School Student Used AI to to Stay on Track appeared first on The Official NVIDIA Blog.