In this week's top 5 #deeplearning, hear our latest #AI podcast, identifying skin cancer, and how IBM is powering their cognitive computers with NVIDIA's AI tools.
Get the latest announcements on Microsoft and NVIDIA's HGX-1 platform for artificial intelligence cloud computing, Facebook's new AI server, and the launch of Jetson TX2 for AI computing in cameras, sensors, and more.
In this week's top 5 #deeplearning, hear our latest #AI podcast, identifying skin cancer, and how IBM is powering their cognitive computers with NVIDIA's AI tools.
Get the latest announcements on Microsoft and NVIDIA's HGX-1 platform for artificial intelligence cloud computing, Facebook's new AI server, and the launch of Jetson TX2 for AI computing in cameras, sensors, 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.
Conversational AI versus AI Data ScienceRazorthink
Uncover the difference between a conversational AI and AI data science in this informative presentation, as well as how AI is being used on the Enterprise level.
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.
AI Everywhere: How Microsoft is Democratizing AIPaul Prae
Microsoft has set a goal of democratizing AI. It’s agents, applications, services, and infrastructure. Join us to learn how Microsoft's intelligent cloud solutions can help any organization better handle uncertainty, reduce risks, build intelligent applications that deliver better services faster, grow customer loyalty, help businesses become more proactive and differentiate themselves from intensifying competition. We will discuss:
+ Microsoft's AI Strategy
+ Examples of AI in the Enterprise
+ The Cortana Intelligence Suite
Crowning its award-winning lineup of Pascal™ architecture-based GPUs, NVIDIA unveiled its fastest gaming GPU ever -- the GeForce® GTX 1080 Ti. Packed with extreme gaming horsepower, the GeForce GTX 1080 Ti delivers up to 35 percent more performance of the GTX 1080 and comes with 11GB of next-generation GDDR5X memory, running at a staggering 11Gbps, for the ultimate in memory bandwidth and gaming prowess. GTX 1080 Ti graphics cards, including the NVIDIA Founders Edition, will be available worldwide from NVIDIA GeForce partners beginning March 10, and starting at $699.
Interest in Deep Learning has been growing in the past few years. With advances in software and hardware technologies, Neural Networks are making a resurgence. With interest in AI based applications growing, and companies like IBM, Google, Microsoft, NVidia investing heavily in computing and software applications, it is time to understand Deep Learning better!
In this lecture, we will discuss the basics of Neural Networks and discuss how Deep Learning Neural networks are different from conventional Neural Network architectures. We will review a bit of mathematics that goes into building neural networks and understand the role of GPUs in Deep Learning. We will also get an introduction to Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks and understand the state-of-the-art in hardware and software architectures. Functional Demos will be presented in Keras, a popular Python package with a backend in Theano. This will be a preview of the QuantUniversity Deep Learning Workshop that will be offered in 2017.
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.
Conversational AI versus AI Data ScienceRazorthink
Uncover the difference between a conversational AI and AI data science in this informative presentation, as well as how AI is being used on the Enterprise level.
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.
AI Everywhere: How Microsoft is Democratizing AIPaul Prae
Microsoft has set a goal of democratizing AI. It’s agents, applications, services, and infrastructure. Join us to learn how Microsoft's intelligent cloud solutions can help any organization better handle uncertainty, reduce risks, build intelligent applications that deliver better services faster, grow customer loyalty, help businesses become more proactive and differentiate themselves from intensifying competition. We will discuss:
+ Microsoft's AI Strategy
+ Examples of AI in the Enterprise
+ The Cortana Intelligence Suite
Crowning its award-winning lineup of Pascal™ architecture-based GPUs, NVIDIA unveiled its fastest gaming GPU ever -- the GeForce® GTX 1080 Ti. Packed with extreme gaming horsepower, the GeForce GTX 1080 Ti delivers up to 35 percent more performance of the GTX 1080 and comes with 11GB of next-generation GDDR5X memory, running at a staggering 11Gbps, for the ultimate in memory bandwidth and gaming prowess. GTX 1080 Ti graphics cards, including the NVIDIA Founders Edition, will be available worldwide from NVIDIA GeForce partners beginning March 10, and starting at $699.
Interest in Deep Learning has been growing in the past few years. With advances in software and hardware technologies, Neural Networks are making a resurgence. With interest in AI based applications growing, and companies like IBM, Google, Microsoft, NVidia investing heavily in computing and software applications, it is time to understand Deep Learning better!
In this lecture, we will discuss the basics of Neural Networks and discuss how Deep Learning Neural networks are different from conventional Neural Network architectures. We will review a bit of mathematics that goes into building neural networks and understand the role of GPUs in Deep Learning. We will also get an introduction to Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks and understand the state-of-the-art in hardware and software architectures. Functional Demos will be presented in Keras, a popular Python package with a backend in Theano. This will be a preview of the QuantUniversity Deep Learning Workshop that will be offered in 2017.
NVIDIA compute GPUs and software toolkits are key drivers behind major advancements in machine learning. Of particular interest is a technique called "deep learning", which utilizes what are known as Convolution Neural Networks (CNNs) having landslide success in computer vision and widespread adoption in a variety of fields such as autonomous vehicles, cyber security, and healthcare. In this talk is presented a high level introduction to deep learning where we discuss core concepts, success stories, and relevant use cases. Additionally, we will provide an overview of essential frameworks and workflows for deep learning. Finally, we explore emerging domains for GPU computing such as large-scale graph analytics, in-memory databases.
https://tech.rakuten.co.jp/
Interest is growing in the Apache Spark community in using Deep Learning techniques and in the Deep Learning community in scaling algorithms with Apache Spark. A few of them to note include:
· Databrick’s efforts in scaling Deep learning with Spark
· Intel announcing the BigDL: A Deep learning library for Spark
· Yahoo’s recent efforts to opensource TensorFlowOnSpark
In this lecture we will discuss the key use cases and developments that have emerged in the last year in using Deep Learning techniques with Spark.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
Interest in Deep Learning has been growing in the past few years. With advances in software and hardware technologies, Neural Networks are making a resurgence. With interest in AI based applications growing, and companies like IBM, Google, Microsoft, NVidia investing heavily in computing and software applications, it is time to understand Deep Learning better!
In this lecture, we will get an introduction to Autoencoders and Recurrent Neural Networks and understand the state-of-the-art in hardware and software architectures. Functional Demos will be presented in Keras, a popular Python package with a backend in Theano. This will be a preview of the QuantUniversity Deep Learning Workshop that will be offered in 2017.
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. Today, NVIDIA is increasingly known as “the AI computing company.”
Learn the fundamentals of Deep Learning, Machine Learning, and AI, how they've impacted everyday technology, and what's coming next in Artificial Intelligence technology.
Using Ansible to deploy a 6-node Hortonworks Data Platform (hadoop) cluster on AWS with the ObjectRocket ansible-hadoop playbook.
Presented at the Ansible NOVA MeetUp on February 23, 2017: https://www.meetup.com/Ansible-NOVA/events/236853616/
introduction to Python by Mohamed Hegazy , in this slides you will find some code samples , these slides first presented in TensorFlow Dev Summit 2017 Extended by GDG Helwan
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.
Future Watch: China's Digital Landscape and Rising Disruptors - Module 2.6 Ar...Team Finland Future Watch
AI is transforming industries in China just as we expect it to revolutionize our industries and organizations. As witnessed in many existing practical AI applications already available today, AI is not a futuristic concept anymore. The question today is, who will lead the next AI revolution? In many terms China can be the driving force of this development.
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 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.
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
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.
Using ai in advance science venkat vajradhar - mediumvenkatvajradhar1
“ In recent news, we found that there is an AI-based tool for recommending new recipes, with new flavors after crunching thousands of existing recipes.
Data Science Innovations is a guest lecture for the Advanced Data Analytics (an Introduction) course at the Advanced Analytics Institute at University of Technology Sydney
The Future of Research - Data and the Rise of Digital Scholarship presents the trends that stand to have a significant impact on the changing face of academic publishing and scholarly research. As million of connected devices come online and an unprecedented volume of information moves into digitized formats, it is still estimated that less 1 percent of this data has been analyzed. This reports presents strategic insights for how researchers can get the most out of their data while keeping a human perspective at heart, and how to concisely and effectively present insights to an information overloaded reader.
Want to Learn More About This Topic or Any Other?
Go to labs.psfk.com to learn more about accessing in-depth trend reports on industries, markets, and topics, database access, workshops, presentations and events.
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.
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
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!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
2. DEEP LEARNING IS THE FASTEST-GROWING
FIELD IN ARTIFICIAL INTELLIGENCE (AI).
3. IT IS DRIVING SIGNIFICANT ADVANCEMENTS
ACROSS INDUSTRIES AND ENTERPRISES.
4. TOP 5
1. Equifax and SAS Leveraging AI & Deep Learning
2. How AI Is Helping Surgeons Improve Tumor Diagnosis
3. How Pinterest’s Visual Search Transformed to a Real-World Search Engine
4. AI Maps Biological Riches of the Rainforest
5. Wells Fargo Pushes Into Artificial Intelligence
HERE ARE THE “TOP FIVE” STORIES HIGHLIGHTING
HOW DEEP LEARNING AND AI ARE ACCELERATING
INNOVATION THIS WEEK …
5. EQUIFAX AND SAS LEVERAGING AI & DEEP LEARNING
“ Companies that have been analyzing data or
providing tools for analysis for years are also
capitalizing on recent AI advances. A case in
point are Equifax and SAS: The former
developing deep learning tools to improve
credit scoring and the latter adding new deep
learning functionality to its data mining tools
and offering a deep learning API.”
1
READ NOW
For the full article from Forbes …
6. HOW AI IS HELPING SURGEONS IMPROVE TUMOR
DIAGNOSIS
“Artificial intelligence could help doctors
diagnose brain tumors more quickly and more
accurately, according to a new study by
researchers at the University of Michigan
Medical School and Harvard University.
2
READ NOW
For the full article from NVIDIA …
“Our goal is to develop an algorithm that
approaches the performance of a
neuropathologist at diagnosis during an
operation,” said Dr. Daniel Orringer, first
author of the study in Nature Biomedical
Engineering and an assistant professor of
neurosurgery at Michigan Medicine.”
7. HOW PINTEREST’S VISUAL SEARCH TRANSFORMED
TO A REAL-WORLD SEARCH ENGINE
“Machine learning tools and techniques had
really been around for some time, but thanks
to revelations in how deep learning worked
and the increasing use of GPUs, the
company was able to take a fresh look at
computer vision and see how it would work in
the context of Pinterest. “From a computer
vision perspective we have a lot of images
where visual search makes sense,” Zhai said.”
3
READ NOW
For the full article from TechCrunch…
8. AI MAPS BIOLOGICAL RICHES OF THE RAINFOREST
“Greg Asner, an ecologist at the Carnegie
Institution for Science and Stanford
University, uses artificial intelligence and a
powerful spectral imaging method to map
the rainforest in unprecedented detail. By
identifying each tree species by its chemical
composition, he has shown the rainforest is
more diverse than anyone thought.”
4
READ NOW
For the full article from NVIDIA …
9. WELLS FARGO PUSHES INTO ARTIFICIAL INTELLIGENCE
“Wells Fargo's AI team will work on creating
technology that can help the bank provide more
personalized customer service through its
bankers and online, the bank said on Friday. It
will be led by Steve Ellis, head of Wells Fargo's
innovation group.
Well Fargo's AI focus comes as banks and other
large financial institutions increase their
investment in the emerging technology which
seeks to train computers to perform tasks that
would normally require human intelligence.”
5
READ NOW
For the full article from Fortune…
10. HOW CAN DEEP LEARNING IMPACT
YOUR BUSINESS?
LEARN MORE