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.
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”.
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.
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.
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.
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
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.
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 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”.
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.
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.
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.
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
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.
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.
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 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 - 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.
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.
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.
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.
The annual GPU Technology Conference focused on the promising field of deep learning in 2015. And we made four major announcements that will fuel its advancement: Titan X, the world's fastest GPU; DIGITS DevBox, GPU deep learning platform; Pascal GPU architecture; NVIDIA DRIVE PX, deep learning platform for self-driving cars. The press responded to these announcements with quotes, featured in this presentation, including ones from Mashable, Forbes, re/code, and The Wall Street Journal. The week-long event was shared in astounding numbers with many blog posts and streaming keynotes.
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.
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.
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).
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.
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.
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.
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.
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.
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 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 - 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.
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.
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.
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.
The annual GPU Technology Conference focused on the promising field of deep learning in 2015. And we made four major announcements that will fuel its advancement: Titan X, the world's fastest GPU; DIGITS DevBox, GPU deep learning platform; Pascal GPU architecture; NVIDIA DRIVE PX, deep learning platform for self-driving cars. The press responded to these announcements with quotes, featured in this presentation, including ones from Mashable, Forbes, re/code, and The Wall Street Journal. The week-long event was shared in astounding numbers with many blog posts and streaming keynotes.
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.
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.
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).
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.
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.
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.
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.
“ Artificial intelligence and Big Data are two burgeoning technologies, full of promise for businesses in all industries. However, the real revolutionary potential of these two technologies is probably their convergence. Discover the possibilities offered by the alliance between Big Data and AI. “
source : www.lebigdata.fr
'Smart' Manufacturers Creating Value From Operational Data ePRNews Media
'Smart' Manufacturers Creating Value From Operational Data #Manufacturing #Analytics #Conference #Digitalization #Networking #OperationalData #ePRNews
https://eprnews.com/smart-manufacturers-creating-value-from-operational-data-439338/
Artificial Intelligence Best Practices: How AI Models Can Transform Legal and...Anna Kragie
The legal and corporate worlds are buying into the power of AI and machine learning. Now, many industries are becoming increasingly receptive to how to use better data classification methods and AI models to generate better business practices. A decade ago, the legal and corporate worlds needed more convincing about the power of AI and machine learning. Now, many industries — legal included — are becoming increasingly receptive to how to use better data classification methods and AI models to generate better business practices.
HPE Building Intelligent & Autonomous Datacenters for the Data EconomySamarn Pannue
Automation is becoming a critical need IDC’s Enterprise Datacenter survey 2018 shows that 45% of the respondents are demanding more shared, agile and flexible resources in the digital transformation era. As a result, IDC sees software defined
and automation becoming the top infrastructure priority for the CIO.
AI will also play a huge role in enabling datacenter automation with enhanced self-learning and predictive capabilities to continuously stay ahead of the problems that cause datacenter failure.
10 POPULAR DATA SCIENCE TOOLS TO CONSIDER EXPLORINGUSDSI
Get maximum competence in top data science tools to power creative data visualization. Explore the variety of data science tools that can enable high-end data optimization for business amplification.
Bringing the Industrial IoT to life with advanced analyticsPrabal Acharyya
“It’s amazing what’s possible now. We’re combining the world of IoT with PI Integrator and Microsoft innovation so customers can do far more than just the traditional cost-savings types of projects. With these new capabilities, they will be able to do things they were not able to do before, and we’re bringing that together for them.”
Prabal Acharyya, Worldwide Director, IoT, OSIsoft
There’s no shortage of news about the Internet of Things (IoT) these days, but for all the buzz that’s been created, there’s one side of it whose real-world impact is actually more significant than the coverage it’s received. The Industrial Internet of Things (IIoT)—harnessing data produced by connected industrial sensors and devices—is predicted to have a larger impact on global economic output than any of the other big data sources. IIoT data also promises to help solve complex problems that have far-reaching impacts, but deriving the value from that data is going to require the use of sophisticated analytics. For more than 35 years, OSIsoft has been a leader in helping organizations capture operational data from industrial equipment. Today, the company is on the front lines of helping businesses use highly advanced analytics to gain valuable operational intelligence from their sensor-based data.
Rapidly evolving technology is creating many opportunities for strategic technologies to rise in the market. As the demand for specific skills increases, let's look at the current trends for an IT professional to follow.
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.
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.
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.
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!
Accelerated Analytics with Kinetica and NVIDIA GPU CloudNVIDIA
In this era of extreme data, companies need to address massive sets of complex data at unparalleled speed, with streaming data analysis, visual foresight and streamlined machine learning. With the Kinetica insight engine available in a ready-to-run software container from NVIDIA GPU Cloud, enterprises now have a “push button” method to quickly operationalize extreme analytics, machine learning and data visualization with the power of GPU computing across cloud, on-premises or hybrid deployment models.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. “It’s Clear NVIDIA is Leading the
A.I. Revolution”
-TheStreet
source: https://www.thestreet.com/investing/nvidia-is-leading-the-a-i-revolution-14754500
3. Deep Learning Institute
18 Workshops
Professional Talks
238 Speakers + 140 Sessions
Show Floor
41 Exhibitors
GTC Washington D.C. had a record showing with 2,000+ attendees, bringing together agency leaders, congressional staff,
entrepreneurs, developers, and startups from various industries to discuss the opportunity of better serving the public good
by partnering with AI and leveraging its capabilities.
4. “Artificial intelligence has the potential to
improve citizen services, kickstart the economy
and create a more efficient government…”
-Nextgov
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.
source: https://www.nextgov.com/analytics-data/2018/10/federal-cio-artificial-intelligence-initiatives-will-flop-without-quality-data/152280/
5. “AI is a priority of this entire administration, our lawmakers and our federal leaders.”
-FCW
AI adoption is growing quickly on a global scale. Suzette Kent, CIO of the U.S. Government, addressed that AI policy and
AI enablement across all industries is a top priority issue. She stressed the importance of implementing the technology
ethically and partnering with experts from every industry to understand how to best integrate the technology to
augment our workforce.
source: https://fcw.com/articles/2018/10/24/kent-cio-ai-gunter.aspx
6. “[Agencies] are using drones that map disaster-stricken areas and facial
recognition to speed up air travel.”
-Federal News Network
In 2017, the U.S. spent $306B to support natural
disaster relief efforts. The opportunity to bring AI to
help first responders will increase response times and
save lives not just at a national level, but on a global
scale.
source: https://federalnewsnetwork.com/artificial-intelligence/2018/10/dod-sees-ais-potential-in-addressing-humanitarian-disaster-relief-challenges/
7. “Scripps Research
Translational Institute and
NVIDIA will collaborate to
create deep learning tools
aimed at deriving actionable
insights from genomic and
medical sensor data.”
-Health Data Management
Bringing AI into medicine can revolutionize the industry by
providing faster diagnosis and time to treatment. Scripps and
NVIDIA will look to combat this by building datasets, training
tools and models to accelerate the AI transformation in early
disease prediction and prevention.
source: https://www.healthdatamanagement.com/news/scripps-nvidia-to-partner-on-deep-learning-research
8. “Red Hat, NVIDIA regulate on open source
offerings to accelerate emerging workloads
like artificial intelligence.”
-Computer Technology Review
As AI begins to integrate with enterprise data science teams, they require something that will not impact their performance or
workflows. NVIDIA’s partnership with Red Hat will allow data scientists to tap into the computing performance of DGX-1 with the
operational familiarity of Red Hat.
source: http://wwpi.com/2018/10/23/red-hat-nvidia-regulate-on-open-source-offerings-to-accelerate-emerging-workloads-like-artificial-intelligence/
9. “We are now at that point where we’re saying ‘help us think through the right
metrics,”’ to prove that a car driven by artificial intelligence is at least as safe
as a human driver.”
-Bloomberg
NVIDIA’s own autonomous vehicle, BB8, traveled 50 miles around the
bay area completely autonomous. NVIDIA became the fifth company
to submit a self-driving safety inspection report.
source: https://www.bloomberg.com/news/articles/2018-10-23/self-driving-car-industry-needs-better-metrics-dot-s-kan-says
10. “RAPIDS is NVIDIA’s new open-source software that serves as a GPU-acceleration
platform to give companies ability to analyze massive amounts of data and make
accurate business predictions at unprecedented speed.”
-Avionics
NVIDIA’s new open-source software, Rapids, brings GPU
acceleration to data science. RAPIDS achieves speedup factors
of 50x or more on typical end-to-end data science workflows.
11.
12. To learn more about NVIDIA in government, visit:
https://www.nvidia.com/public-good