1. The document discusses the top 5 stories highlighting what's hot in high performance computing (HPC) and artificial intelligence (AI).
2. The first story discusses NVIDIA's CEO giving some of the world's top AI researchers the first NVIDIA Tesla V100 GPUs based on their Volta architecture.
3. Another story examines if customized healthcare is becoming a reality through machine learning and deep learning helping to enable precision medicine initiatives.
Driving Computer Vision Research Innovation In Artificial IntelligenceNVIDIA
Get a recap of the news out of NVIDIA's announcements at CVPR 2017 with highlights such as our V100 giveaway to top researchers, technical demos, workshops, and more.
Top 5 Deep Learning and AI Stories - September 28, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: Automakers look to virtual training to simulate billions of miles in driving, five Gordon Bell prize finalists leveraged Summit, the world's fastest supercomputer, Toronto celebrates NVIDIA's new Toronto AI lab and Canada's top researchers, scientists turn to simulated health data to train AI and preserve patient privacy, and two researchers leverage deep learning to create new levels for DOOM.
A Year of Innovation Using the DGX-1 AI SupercomputerNVIDIA
As one of TechCrunch's top AI stories, the NVIDIA DGX-1 has pioneered advancements in healthcare, data analytics, and robotic solutions with leading researchers and enterprises around the world.
Building a Stronger Future for Radiology: Takeaways from RSNA 2017NVIDIA
At RSNA 2017, NVIDIA announced partnerships, showcased the latest technologies revolutionizing medical imaging, offered NVIDIA Deep Learning Institute (DLI) workshops and more.
Top 5 Deep Learning and AI Stories - September 14, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: NVIDIA’s Clara Smartens up medical instruments, Fujifilm and NVIDIA bring radiology AI to Japan, Cisco boosts its deep learning capabilities, "I am AI" docuseries episode 8: Taking AI to new heights and How a Stanford PhD student is using deep learning to create “dank memes”.
Top 5 Deep Learning and AI Stories - November 30, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: 75 healthcare companies partner with NVIDIA to power the future of radiology, NeurIPS conference showcases the latest in AI research, NVIDIA's new research lab pushes machine learning boundaries, Israeli AI startup restores speech abilities to stroke victims and others with impaired language, and radiologists can detect anomalies in medical images with deep learning.
Driving Computer Vision Research Innovation In Artificial IntelligenceNVIDIA
Get a recap of the news out of NVIDIA's announcements at CVPR 2017 with highlights such as our V100 giveaway to top researchers, technical demos, workshops, and more.
Top 5 Deep Learning and AI Stories - September 28, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: Automakers look to virtual training to simulate billions of miles in driving, five Gordon Bell prize finalists leveraged Summit, the world's fastest supercomputer, Toronto celebrates NVIDIA's new Toronto AI lab and Canada's top researchers, scientists turn to simulated health data to train AI and preserve patient privacy, and two researchers leverage deep learning to create new levels for DOOM.
A Year of Innovation Using the DGX-1 AI SupercomputerNVIDIA
As one of TechCrunch's top AI stories, the NVIDIA DGX-1 has pioneered advancements in healthcare, data analytics, and robotic solutions with leading researchers and enterprises around the world.
Building a Stronger Future for Radiology: Takeaways from RSNA 2017NVIDIA
At RSNA 2017, NVIDIA announced partnerships, showcased the latest technologies revolutionizing medical imaging, offered NVIDIA Deep Learning Institute (DLI) workshops and more.
Top 5 Deep Learning and AI Stories - September 14, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: NVIDIA’s Clara Smartens up medical instruments, Fujifilm and NVIDIA bring radiology AI to Japan, Cisco boosts its deep learning capabilities, "I am AI" docuseries episode 8: Taking AI to new heights and How a Stanford PhD student is using deep learning to create “dank memes”.
Top 5 Deep Learning and AI Stories - November 30, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: 75 healthcare companies partner with NVIDIA to power the future of radiology, NeurIPS conference showcases the latest in AI research, NVIDIA's new research lab pushes machine learning boundaries, Israeli AI startup restores speech abilities to stroke victims and others with impaired language, and radiologists can detect anomalies in medical images with deep learning.
Top 5 AI and Deep Learning Stories - August 3, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: transforming a generation of AI developers, an AI data platform for enterprises, how smart machines are changing medicine, improving passenger safety with deep learning, and self-taught AI learns to solve a Rubik's Cube.
Key Healthcare Takeaways from GTC in OctoberNVIDIA
Three conferences in three weeks around the globe!
Catch-up on the healthcare news and announcements from all three GPU Technology Conferences--Europe, Israel, and Washington D.C.--held in the month of October.
Top 5 AI and Deep Learning Stories - October 26, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: NVIDIA and Carnegie Mellon announce a partnership to help disaster relief; NVIDIA and Scripps Research partner to advance AI for disease prediction; learn how GPUs will help your deep learning platform; MIT research showcases AI and human collaboration; NVIDIA publishes first-ever self-driving safety report.
Top 5 AI and Deep Learning Stories - November 9, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: DGX-2 supercomputers arrive fueling scientific discovery; AI pioneer talks about the future of AI; radiology poised for transformation with AI; the rise of AI developers in India; discover AI in federal government.
The promise of AI to provide better patient care through accelerated workflows and increased diagnostic capabilities was in full display at RSNA. Catch up with all the news and highlights from the event.
As the AI revolution gains momentum, NVIDIA founder and CEO Jensen Huang took the stage in Beijing to show the latest technology for accelerating its mass adoption.
His talk — to more than 3,500 scientists, engineers and press gathered for the three-day event — kicks off a GTC world tour where, in the months, ahead we’ll bring our story to an expected live audience of some 22,000 in Munich, Tel Aviv, Taipei, Washington and Tokyo.
How Do I Understand Deep Learning Performance?NVIDIA
Introduced at GTC 2018, PLASTER outlines critical problems with machine learning. Learn how to address and tackle these problems to better deliver AI-based services.
The AI Opportunity in Federal - Key Highlights from GTC DC 2018NVIDIA
Every industry will be empowered by AI from autonomous vehicles and robotics to healthcare and agriculture. The computational power that AI can provide will streamline workflows, maximize efficiencies, and open doors to new discoveries.
Top 5 Deep Learning and AI Stories - November 3, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Pentagon official says that AI and machine learning will revolutionize the US intelligence community; how AI could spot lung cancer faster; AI researchers can now access optimized deep learning framework containers through NVIDIA GPU Cloud; AI4ALL improves student access to AI resources by partnering with NVIDIA Deep Learning Institute; the Deep Learning Institute expands its courses to address the growing demand for AI talent.
Fueling the Next Wave of AI Discovery - CVPR 2018NVIDIA
The CVPR annual conference showcases the most important advances in computer vision, pattern recognition, machine learning and artificial intelligence. Catch up on the top 5 announcements that came out of CVPR 2018.
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Transforming Healthcare at GTC Silicon ValleyNVIDIA
The GPU Technology Conference (GTC) brings together the leading minds in AI and healthcare that are driving advances in the industry - from top radiology departments and medical research institutions to the hottest startups from around the world. Can't miss panels and trainings at GTC Silicon Valley
Top 5 AI and Deep Learning Stories - August 3, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: transforming a generation of AI developers, an AI data platform for enterprises, how smart machines are changing medicine, improving passenger safety with deep learning, and self-taught AI learns to solve a Rubik's Cube.
Key Healthcare Takeaways from GTC in OctoberNVIDIA
Three conferences in three weeks around the globe!
Catch-up on the healthcare news and announcements from all three GPU Technology Conferences--Europe, Israel, and Washington D.C.--held in the month of October.
Top 5 AI and Deep Learning Stories - October 26, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: NVIDIA and Carnegie Mellon announce a partnership to help disaster relief; NVIDIA and Scripps Research partner to advance AI for disease prediction; learn how GPUs will help your deep learning platform; MIT research showcases AI and human collaboration; NVIDIA publishes first-ever self-driving safety report.
Top 5 AI and Deep Learning Stories - November 9, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: DGX-2 supercomputers arrive fueling scientific discovery; AI pioneer talks about the future of AI; radiology poised for transformation with AI; the rise of AI developers in India; discover AI in federal government.
The promise of AI to provide better patient care through accelerated workflows and increased diagnostic capabilities was in full display at RSNA. Catch up with all the news and highlights from the event.
As the AI revolution gains momentum, NVIDIA founder and CEO Jensen Huang took the stage in Beijing to show the latest technology for accelerating its mass adoption.
His talk — to more than 3,500 scientists, engineers and press gathered for the three-day event — kicks off a GTC world tour where, in the months, ahead we’ll bring our story to an expected live audience of some 22,000 in Munich, Tel Aviv, Taipei, Washington and Tokyo.
How Do I Understand Deep Learning Performance?NVIDIA
Introduced at GTC 2018, PLASTER outlines critical problems with machine learning. Learn how to address and tackle these problems to better deliver AI-based services.
The AI Opportunity in Federal - Key Highlights from GTC DC 2018NVIDIA
Every industry will be empowered by AI from autonomous vehicles and robotics to healthcare and agriculture. The computational power that AI can provide will streamline workflows, maximize efficiencies, and open doors to new discoveries.
Top 5 Deep Learning and AI Stories - November 3, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Pentagon official says that AI and machine learning will revolutionize the US intelligence community; how AI could spot lung cancer faster; AI researchers can now access optimized deep learning framework containers through NVIDIA GPU Cloud; AI4ALL improves student access to AI resources by partnering with NVIDIA Deep Learning Institute; the Deep Learning Institute expands its courses to address the growing demand for AI talent.
Fueling the Next Wave of AI Discovery - CVPR 2018NVIDIA
The CVPR annual conference showcases the most important advances in computer vision, pattern recognition, machine learning and artificial intelligence. Catch up on the top 5 announcements that came out of CVPR 2018.
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Transforming Healthcare at GTC Silicon ValleyNVIDIA
The GPU Technology Conference (GTC) brings together the leading minds in AI and healthcare that are driving advances in the industry - from top radiology departments and medical research institutions to the hottest startups from around the world. Can't miss panels and trainings at GTC Silicon Valley
ODSC Presentation "Putting Deep Learning to Work" by Alex Ermolaev, NvidiaAlex Ermolaev
We will look at the best practices for using deep learning as well as most popular use cases across several horizontal and vertical domains.
Open Data Science Conference West, San Francisco, November 2-4, 2017
This presentation summarizes our research on 40 companies from around the world that are leveraging Artificial Intelligence to improve the Healthcare Industry. They are all well-funded, have highly qualified CEOs & Boards, and are poised to achieve their product development milestones.
The I-Square Ventures proprietary rating algorithm indicates that almost all of these companies will receive more funding, and/or be acquired by larger companies.
Where Technology Meets Medicine: SickKids High Performance Computing Data CentreScalar Decisions
Case study look at the work Scalar conducted on the High-Performance Computing Data Centre at the Hospital for Sick Children (SickKids). The system is able to do 107 trillion calculations per second - one of the largest systems dedicated to health research.
Top 5 Deep Learning and AI Stories - August 31, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: Microsoft Azure now supports NVIDIA GPU Cloud for AI/HPC workloads, Pinterest uses AI to enhance its recommendations system, Johns Hopkins researchers use deep learning to combat pancreatic cancer, MIT researchers train neural networks with music videos to separate sounds from each other, and AI bots are now designing chairs (and they're surprisingly good).
Healthcare Innovation Technology Group MeetingDavid Voran
Presentation to a Kansas City Healthcare Innovation Technology Group Meeting on June 28, 2011.
Describes Innovation processes, needs, some examples and advice for those creating innovative technology products to be used in Healthcare.
Artificial Intelligence Service in HealthcareAnkit Jain
It is no secret that artificial intelligence is shaping new business landscapes in every industries. As one of emerging convergence technologies, Artificial Intelligence (AI) creates new products and services, finally innovating business models. Especially, it has been noted by industry experts and researchers that healthcare sector has the biggest potential of AI convergence. In fact, major technology companies including Google, Microsoft and IBM have invested in AI in healthcare sector. Thousands of AI startups are active launching innovative services related to healthcare.
En utilisant l’apprentissage de models sur des données collectées dans les dossiers patients d’un réseau d’hôpitaux et du machine learning, il est possible de prédire le risque de ré-hospitalisation dans 30 ou 90 jours pour des insuffisants cardiaque. Valère présente la création d’un Cloud Collaboratif sur le Cancer qui offre la possibilité aux Hôpitaux des Etats Unis de donner accès à un très grand nombre de dossiers patients atteint du Cancer.
Data-driven models for efficient diagnosis and disease management. From Academia to Startups.
Talk given at Crabb Lab Meeting, City University, London UK – Wed 23 August 2017
We pioneered accelerated computing to tackle challenges no one else can solve. Now, the AI moment has arrived. Discover how our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries.
Promising to transform trillion-dollar industries and address the “grand challenges” of our time, NVIDIA founder and CEO Jensen Huang shared a vision of an era where intelligence is created on an industrial scale and woven into real and virtual worlds at GTC 2022.
Our passion is to inspire and enable the da Vincis and Einsteins of our time, so they can see and create the future. We pioneered graphics, accelerated computing, and AI to tackle challenges ordinary computers cannot solve. See how we're continuously inventing the future--from our early days as a chip maker to transformers of the Metaverse.
Outlining a sweeping vision for the “age of AI,” NVIDIA CEO Jensen Huang Monday kicked off the GPU Technology Conference.
Huang made major announcements in data centers, edge AI, collaboration tools and healthcare in a talk simultaneously released in nine episodes, each under 10 minutes.
“AI requires a whole reinvention of computing – full-stack rethinking – from chips, to systems, algorithms, tools, the ecosystem,” Huang said, standing in front of the stove of his Silicon Valley home.
Behind a series of announcements touching on everything from healthcare to robotics to videoconferencing, Huang’s underlying story was simple: AI is changing everything, which has put NVIDIA at the intersection of changes that touch every facet of modern life.
More and more of those changes can be seen, first, in Huang’s kitchen, with its playful bouquet of colorful spatulas, that has served as the increasingly familiar backdrop for announcements throughout the COVID-19 pandemic.
“NVIDIA is a full stack computing company – we love working on extremely hard computing problems that have great impact on the world – this is right in our wheelhouse,” Huang said. “We are all-in, to advance and democratize this new form of computing – for the age of AI.”
This GTC is one of the biggest yet. It features more than 1,000 sessions—400 more than the last GTC—in 40 topic areas. And it’s the first to run across the world’s time zones, with sessions in English, Chinese, Korean, Japanese, and Hebrew.
The Best of AI and HPC in Healthcare and Life SciencesNVIDIA
Trends. Success stories. Training. Networking.
The GPU Technology Conference brings this all to one place. Meet the people pioneering the future of healthcare and life sciences and learn how to apply the latest AI and HPC tools to your research.
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019NVIDIA
Broadening support for GPU-accelerated supercomputing to a fast-growing new platform, NVIDIA founder and CEO Jensen Huang introduced a reference design for building GPU-accelerated Arm servers, with wide industry backing.
NVIDIA BioBert, an optimized version of BioBert was created specifically for biomedical and clinical domains, providing this community easy access to state-of-the-art NLP models.
Top 5 Deep Learning and AI Stories - August 30, 2019NVIDIA
Read the top five news stories in artificial intelligence and learn how innovations in AI are transforming business across industries like healthcare and finance and how your business can derive tangible benefits by implementing AI the right way.
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
Higher education institutions have long been the backbone of scientific breakthroughs, view this slideshare to learn seven easy ways to help elevate your research.
Learn about the benefits of joining the NVIDIA Developer Program and the resources available to you as a registered developer. This slideshare also provides the steps of getting started in the program as well as an overview of the developer engagement platforms at your disposal. developer.nvidia.com/join
If you were unable to attend GTC 2019 or couldn't make it to all of the sessions you had on your list, check out the top four DGX POD sessions from the conference on-demand.
In this special edition of "This week in Data Science," we focus on the top 5 sessions for data scientists from GTC 2019, with links to the free sessions available on demand.
This Week in Data Science - Top 5 News - April 26, 2019NVIDIA
What's new in data science? Flip through this week's Top 5 to read a report on the most coveted skills for data scientists, top universities building AI labs, data science workstations for AI deployment, and more.
NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2019 (#GTC19) in Silicon Valley, where he introduced breakthroughs in pro graphics with NVIDIA Omniverse; in data science with NVIDIA-powered Data Science Workstations; in inference and enterprise computing with NVIDIA T4 GPU-powered servers; in autonomous machines with NVIDIA Jetson Nano and the NVIDIA Isaac SDK; in autonomous vehicles with NVIDIA Safety Force Field and DRIVE Constellation; and much more.
Check out these DLI training courses at GTC 2019 designed for developers, data scientists & researchers looking to solve the world’s most challenging problems with accelerated computing.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming NVIDIA GTC 2019, complete schedule of GPU hackathons and more!
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
4. HERE ARE THE “TOP FIVE’ STORIES
HIGHLIGHTING WHAT’S HOT IN HPC AND AI
TOP 5
5. TOP 5
1. Big Surprise for Top AI Brainiacs: NVIDIA CEO Gives World’s Top AI Researchers Frist NVIDIA
Tesla V100s
2. Is Customized Healthcare a Near Term Reality?
3. Accelerated Computing Gains Traction as Enterprises Seek to Manage Cognitive Workloads
4. Supercomputers Reveal How the HIV Virus Moves
5. AI App Suggests Recipes Based on Food Pictures
6. NVIDIA CEO GIVES WORLD’S TOP AI RESEARCHERS
FIRST NVIDIA TESLA V100S
AI is reshaping the world. The researchers gathered
at this week’s Computer Vision and Pattern
Recognition conference in Honolulu are reshaping AI.
That’s why NVIDIA CEO Jensen Huang chose to light
up a meetup of elite deep learning researchers at
CVPR to unveil the NVIDIA Tesla V100, our latest
GPU, based on our Volta architecture, by presenting
it to 15 participants in our NVIDIA AI Labs program.
The audience of more than 150 top AI researchers —
gathered for our NVAIL meetup — grabbed their
smartphones to snap pictures of the moment.
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7. IS CUSTOMIZED HEALTHCARE A NEAR TERM REALITY?
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In this special guest feature, Abdul Hamid Halabi, the global
business development lead for healthcare and life sciences at
NVIDIA, discusses how personalized or precision medicine is
becoming a reality with the help of a machine learning method
called deep learning. Halabi is responsible for helping drive the
company’s growth and innovation strategies across the
healthcare ecosystem. With nearly 20 years of experience in
advanced technologies, he partners with thought leaders and
world-class organizations to transform healthcare through the
application of deep learning and high performance computing to
enable precision medicine initiatives and evidence-based
medicine.
ARTICLE
8. ACCELERATED COMPUTING GAINS TRACTION AS
ENTERPRISES SEEK TO MANAGE COGNITIVE WORKLOADS
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In a recent survey, International Data Corporation
(IDC) found that accelerated computing is quickly
gaining traction in the enterprise as businesses
embrace these technologies to overcome the
limitations of CPUs. To help organizations to
better understand where accelerated computing
fits in the computing platforms hierarchy and to
develop a more informed implementation
strategy, IDC has published its first accelerated
compute taxonomy.
9. SUPERCOMPUTERS REVEAL HOW THE HIV VIRUS MOVES
University of Illinois scientists used two GPU-
accelerated supercomputers to simulate the behavior of
64 million atoms to capture 1.2 microseconds of the life
of an HIV capsid. The simulation offers new insights
into how the virus senses its environment and
completes its infective cycle.
“We are learning the details of the HIV capsid system,
not just the structure but also how it changes its
environment and responds to its environment,” said
research scientist Juan R. Perilla, who led the study
with physics professor Klaus Schulten. Such details
could help scientists find new ways to defeat the virus,
Perilla said.
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10. AI APP SUGGESTS RECIPES BASED ON FOOD PICTURES
MIT researchers developed a deep learning system
that can compile a list of ingredients and suggest
similar recipes by looking at a photo of food.
“In computer vision, food is mostly neglected
because we don’t have the large-scale datasets
needed to make predictions,” says Yusuf Aytar,
an MIT postdoc who co-wrote the paper about the
system with MIT Professor Antonio Torralba. “But
seemingly useless photos on social media can
actually provide valuable insight into health
habits and dietary preferences.”
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