The document discusses the top 5 deep learning stories from August 3, 2018. It summarizes each story in 1-2 paragraphs. Story 1 is about Google making NVIDIA GPUs available on their cloud to accelerate AI projects. Story 2 describes NetApp's new AI data platform called Ontap AI that helps organizations manage their AI data. Story 3 discusses how machine learning is being used in healthcare to better monitor patients. Story 4 talks about how the Swiss Federal Railway is using deep learning with cameras and sensors to improve passenger safety. Story 5 is about an AI system that taught itself to solve a Rubik's Cube in 44 hours without human help.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
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.
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.
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.
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.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
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.
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.
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.
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.
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.
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.
Inception Awards: The Top Six AI Startups Changing The WorldNVIDIA
Discover how these winning AI startups are impacting the world through accurate biomagnetic imaging, cybersecurity enhancement, construction safety, and more.
Top 5 Deep Learning and AI Stories April 7th NVIDIA
Learn the state of AI technology, Wall Street predictions for AI investments, and how deep learning is quickly advancing medicine in this week's top 5.
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 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.
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.
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.
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.
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.
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 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 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”.
Meg Mude, Intel - Data Engineering Lifecycle Optimized on Intel - H2O World S...Sri Ambati
This session was recorded in San Francisco on February 5th, 2019 and can be viewed here: https://youtu.be/cnU6sqd31JU
Developing meaningful AI applications requires complete data lifecycle management. Sourcing, harvesting, labelling and ensuring the conduit to consume data structures and repositories is critical for model accuracy....but, one of the least talked about subjects. Intel’s optimized technologies enable efficient delivery of complete data samples to develop (and deploy) meaningful outcomes. During this session, we’ll review the considerations and criticality of data lifecycle management for the AI production pipeline.
Bio: Meg brings more than 17 years of global product, engineering and solutions experience. She is presently a Solutions Architect with Intel Corporation specializing in Visual Compute and AAI (Analytics and AI) Architecture. She is passionate about the potential for technology to improve the quality of peoples’ lives and humanity on the whole.
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.
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.
Inception Awards: The Top Six AI Startups Changing The WorldNVIDIA
Discover how these winning AI startups are impacting the world through accurate biomagnetic imaging, cybersecurity enhancement, construction safety, and more.
Top 5 Deep Learning and AI Stories April 7th NVIDIA
Learn the state of AI technology, Wall Street predictions for AI investments, and how deep learning is quickly advancing medicine in this week's top 5.
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 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.
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.
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.
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.
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.
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 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 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”.
Meg Mude, Intel - Data Engineering Lifecycle Optimized on Intel - H2O World S...Sri Ambati
This session was recorded in San Francisco on February 5th, 2019 and can be viewed here: https://youtu.be/cnU6sqd31JU
Developing meaningful AI applications requires complete data lifecycle management. Sourcing, harvesting, labelling and ensuring the conduit to consume data structures and repositories is critical for model accuracy....but, one of the least talked about subjects. Intel’s optimized technologies enable efficient delivery of complete data samples to develop (and deploy) meaningful outcomes. During this session, we’ll review the considerations and criticality of data lifecycle management for the AI production pipeline.
Bio: Meg brings more than 17 years of global product, engineering and solutions experience. She is presently a Solutions Architect with Intel Corporation specializing in Visual Compute and AAI (Analytics and AI) Architecture. She is passionate about the potential for technology to improve the quality of peoples’ lives and humanity on the whole.
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
و سلوك وخصائص معينة تتسم بها البرامج الحاسوبية تجعلها تحاكي القدرات الذهنية البشرية وأنماط عملها. من أهم هذه الخاصيات القدرة على التعلم والاستنتاج ورد الفعل على أوضاع لم تبرمج في الآلة. إلا أنَّ هذا المصطلح جدلي نظراً لعدم توفر تعريف محدد للذكاء.
يستخدم أسيمو أجهزة الاستشعار وخوارزميات ذكية لتجنب العقبات والتحرك على الدرج.
الذكاء الاصطناعي فرع من علم الحاسوب. تُعرِّف الكثير من المؤلفات الذكاء الاصطناعي على أنه "دراسة وتصميم العملاء الأذكياء"، والعميل الذكي هو نظام يستوعب بيئته ويتخذ المواقف التي تزيد من فرصته في النجاح في تحقيق مهمته أو مهمة فريقه.[1] صاغ عالم الحاسوب جون مكارثي هذا المصطلح بالأساس في عام 1956،[2] وعرَّفه بنفسه بأنه "علم وهندسة صنع الآلات الذكية".[3]
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.
Ομιλία- Παρουσίαση: Ανδρέας Τσαγκάρης, VP & Chief Technology Officer, Performance Technologies
Τίτλος Παρουσίασης: “Big Data on Linux on Power Systems”
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.
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.
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.
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!
Celebrating and Supporting the Medical Imaging CommunityNVIDIA
This year’s MICCAI conference had record-breaking attendance. If you missed it, view this SlideShare to catch up on all the highlights and NVIDIA news.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
"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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
The Art of the Pitch: WordPress Relationships and Sales
Top 5 AI and Deep Learning Stories - August 3, 2018
1. Insights into the new computing model
DEEP LEARNING TOP 5
August 3, 2018
2. DEEP LEARNING IS THE FASTEST-GROWING
FIELD IN ARTIFICIAL INTELLIGENCE (AI)
3. AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE
COMPANIES ADOPT DEEP LEARNING TO ACCELERATE
THEIR BUSINESSES…
4. TOP 5 DEEP LEARNING STORIES
1. Transforming a generation of AI developers
2. An AI data platform for enterprises
3. How smart machines are changing medicine
4. Improving passenger safety with deep learning
5. Self-taught AI learns to solve a Rubik's Cube
5. TRANSFORMING A GENERATION OF AI DEVELOPERS
At Google Cloud Next, Google announced it is making
NVIDIA Tesla P4 GPUs available as a cloud service, enabling
more businesses to get started with AI projects quickly.
“The strength of the P4 GPU is it is ideally suited to AI
inferencing when real time and efficiency is required…and
is designed to increase the performance of servers running
deep learning workloads.”
1
Source: https://www.cio.com/article/3293424/artificial-intelligence/more-artificial-intelligence-options-coming-to-google-cloud.html?linkId=100000003127153
READ ARTICLE
6. AN AI DATA PLATFORM FOR ENTERPRISES
Not all cloud storage providers have the
management tools required to collate, process, and
transfer AI model data quickly and efficiently. To
solve this, NetApp introduced Ontap AI.
“Powered by Nvidia’s DGX supercomputers and
NetApp’s AFF A800 cloud-connected flash storage,
it’s designed to help organizations achieve ‘edge to
core to cloud’ control over their data by delivering
unprecedented access and performance.”
2
Source: https://venturebeat.com/2018/08/01/netapp-and-nvidia-announce-ontap-ai-an-ai-data-platform-for-enterprise/
LEARN MORE
7. HOW SMART MACHINES ARE CHANGING MEDICINE
In order to better monitor patients health in real-time,
“smart” machines enable clinicians by merging data from
devices into a readily interpretable stream.
“Teams across the country are harnessing artificial
intelligence to create new tools that enhance patient
monitoring in ICUs and reduce information overload for
clinicians.”
3
Source: https://innovationblog.partners.org/industry/bringing-smart-machines-to-medicine
READ ARTICLE
8. IMPROVING PASSENGER SAFETY WITH DEEP LEARNING
To improve and insure the safety of passengers
and infrastructure, the Swiss Federal Railway
(SBB) has equipped multiple high-resolution
cameras and sensors to obtain images while
traveling at speeds up to 160 kmh.
“SBB partnered with CSEM (Swiss Research and
Development Center) to address this challenge
by initiating the ‘Railcheck’ project, which
aims to use deep learning technologies.”
4
Source: https://www.forbes.com/sites/nvidia/2018/08/02/how-swiss-federal-railway-is-improving-passenger-safety-with-the-power-of-deep-learning/#12d1298950e3
READ MORE
9. SELF-TAUGHT AI LEARNS TO SOLVE A RUBIK’S CUBE
DeepCube is an artificially intelligent system that’s as good
at playing the Rubik’s Cube as the best human master
solvers. Incredibly, the system learned to dominate the
classic 3D puzzle in just 44 hours without any human
intervention.
“On the surface, the Rubik’s Cube may seem simple, but it
offers a staggering number of possibilities. A 3x3x3 cube
features a total ‘state space’ of 43,252,003,274,489,856,000
combinations…with no outside help, and with the only input
being changes to the cube itself, the system learns to
evaluate the strength of its moves.”
5
Source: https://gizmodo.com/self-taught-ai-masters-rubik-s-cube-in-just-44-hours-1826918072
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