AI and Machine Learning
Introduce efficiencies to improve operations and add intelligence for digital transformation of products or services.
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Potential to win $12000. In this competition, you'll detect football (soccer) passes—including throw-ins and crosses—and challenges in original Bundesliga matches. You'll develop a computer vision model that can automatically classify these events in long video recordings.Your work will help scale the data collection process. Automatic event annotation could enable event data from currently unexplored competitions, like youth or semi-professional leagues or even training sessions. https://www.kaggle.com/competitions/dfl-bundesliga-data-shootout Good luck
Video question-answering is a major difficulty for #ML models because it necessitates a grasp of both semantic and temporal information. Google invented iterative co-tokenization to this end, which efficiently integrates geographical, temporal, and linguistic information.AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research, Brain Team wrote in details :To learn more, click on the following link:https://ai.googleblog.com/2022/08/efficient-video-text-learning-with.html
Data is of tremendous value, but according to research, almost 70% of organizations are unable to get value from their data. To accelerate time to value, data needs to be seamlessly ingested, integrated and/or replicated to a cloud environment to take advantage of its analytical, BI and AI use cases. Google Cloud delivers a simplified approach for all your Data Movement needs through a highly differentiated product portfolio. The portfolio is supplemented by key strategic partners to support your Data Movement needs. In this session, learn how organizations can unlock data value using best-in-class, cloud native products on Google Cloud and its partners such as Confluent, Fivetran and Striim.This webinar will begin with a Fireside Chat with Benjamin Brown (Forrester) followed by a panel discussion with Confluent, Fivetran, and Striim Event Date and Time : 17 August 2022 17:00-18:00 BST Please click on the following link to join the event:https://cloudonair.withgoogle.com/events/data-m
Bernard Marr, author of the books 'The Intelligence Revolution' and 'Artificial Intelligence in Practice' has compiled his list of the biggest AI trends in 2022. In this 7-minute video, he speaks about the following trends: AI will augment our workforce Better language modeling capability Cyber security AI and the Metaverse Low-code and no-code AI Data-centric AI Autonomous vehicles Creative AIWhat is your opinion? Which of these trends affect you in your work and personally?Here is the video:
Based on his experience utilising Google Vertex AI, Christian Rehm, Senior Machine Learning Engineer at Wayfair, has published an article in Google Cloud. How is vertex AI help to resolve his complex problem you will discover here. when Google announced its Vertex AI platform in 2021, the timing coincided perfectly with our search for a comprehensive and reliable AI Platform. Although we’d been working on our migration to Google Cloud over the previous couple of years, we knew that our work wouldn’t be complete once we were in the cloud. We’d simply be ready to take one more step in our workload modernization efforts, and move away from deploying and serving our ML models using legacy infrastructure components that struggle with stability and operational overhead. This has been a crucial part of our journey towards MLOps excellence, in which Vertex AI has proved to be of great support. Please visit the following link for more details :https://cloud.google.com/blog/products/ai-machine-l
Google Data Cloud Live: Atlanta will feature technology leaders and data professionals who will share insights on how you can capitalize on the next wave of data solutions. You’ll have the opportunity to learn about the many ways that you and your organization can make smarter decisions and solve complex challenges with key innovations in AI, machine learning, analytics, and data lakes. Join this event please check the following link:https://inthecloud.withgoogle.com/google-data-cloud-live-atl/register.html
BigQuery is amazing. It is one of the favorite tools within Google Cloud. Google always add new feature in BigQuery.Artem Nikulchenko Chief Software Architect and Champion Innovator at Google cloud discover some new interesting features in the latest BigQuery release and summarises the following four things in his article: the AUTO column, multi-statement transactions, clustering, and indexes. Please browse the main article to read more details.https://cloud.google.com/blog/topics/developers-practitioners/hidden-gems-google-bigquery
How to use Goolge Vertex AI Pipelines to run DeepMind’s AlphaFold protein structure predictions at scale?
A new Vertex AI solution from Google Cloud shows how to execute DeepMind's AlphaFold protein structure predictions at scale using Vertex AI Pipelines.Scientists can design medications that modify protein activity depending on its role in the cell once the structure of the protein has been known. DeepMind, Alphabet's AI research group, developed the AlphaFold algorithm to enable data scientists and other researchers reliably forecast protein geometries at scale.To encourage interactive experimentation, Google Cloud offered a solution that combined AlphaFold with Vertex AI Workbench.This makes it easy for many data scientists to work with AlphaFold effectively. Today, I'll describe how to get started experimenting with this approach and go over some of its advantages, such as lower costs due to hardware selection that is optimised, repeatability due to experiment tracking, lineage and metadata management, and quicker run times due to parallelization.How does AlphaFold work with Vertex AI
Visualization is essential for comprehending vast volumes of data. Today, we have BigQuery and Looker to analyse petabytes of data and extract insights in a sophisticated manner.But what about tracking data that is always changing?You may learn step by step how to construct a real-time dashboard using Cloud Run and Firestore by following the link below. How to build a real-time dashboard with Cloud Run and Firestore? https://cloud.google.com/blog/topics/manufacturing/building-a-mobility-dashboard-with-cloud-run-and-firestore
“Hey Google – what is the future of retail?” In retail, transformation is more than a requirement. It's a race. Hear from industry experts as they share best practices for meeting the common needs of your customers with data analytics and AI/ML.Join us and grow your skills at the pace of innovation to deliver meaningful, transformational retail business insights. Event date :24 August 2022 17:00- 19:00 BSTType: Cloud OnAirPlease check the following link to join the event:https://cloudonair.withgoogle.com/events/whats-the-future-of-retail
Google Cloud is partnering with many of the leading EdTech companies, as well as industry-leading consortiums like Ed-Fi and Unizin, to standardize educational common data models and best practices for more agile and cost-effective integration of EdTech into existing environments.Image Source: Official Google Cloud BlogDo you agree that the education landscape is changing rapidly, and EdTech has a major role to play as institutions adapt to the massive shift in learners’ preferences and expectations?
Making Friends with Machine Learning was a legendary internal-only Google course specially created to inspire beginners and amuse experts. Today, it is available to everyone! You can now enjoy it by following these links: Part 1 — Introduction to ML: bit.ly/mfml_part1 Part 2 — Life of a Machine Learning Project: bit.ly/mfml_part2 Part 3 — AI from Prototype and Production: bit.ly/mfml_part3 Part 4 — Opening the Black Box: bit.ly/mfml_part4
Michelle Carney is a computational neuroscientist turned UX researcher, whose practice focuses on the intersection of machine learning and UX. Currently, a Senior UX Researcher on Google’s Tensorflow Team, Michelle's projects focus on combining Machine Learning and UX.In this session, Michelle joins Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations, to discuss user experience and design thinking for machine learning products and how the combination is more than the sum of its parts when it comes to creating business value.Please join the video call prior to the start of the event.Register on eventbrite to receive joining link: https://bit.ly/3AZ5OTDAfter attending, you’ll knowWhy data scientists and machine learning practitioners need to start thinking more about UX; The top 3-5 things data professionals should know about UX design to move the needle for their products; How to measure the success of user experience and design thinking initiatives when it comes to ML product
The FA's Player Performance System (PPS) is a key component of Helix, the FA's application and development suite that has been hosted on Google Cloud Platform (GCP) for the past five years.The FA platform is built on various GCP tools that are linked together by a complex micro service system that is used to update the data being collected, analysed, and stored.GCP tools work to tracking FA data is a computationally intensive process because it must be cleaned, smoothed, and have external information applied to it before its value can be realised to achieve accurate result.Now lets think about advantage England: will data analytics help bring home a Trophy? Click here to read full report.
DetailsJoin us for the twenty-second Google Open Source Live event in our series; “Machine Learning Day”!Google Machine Learning experts will share updates on everything from Tools for Responsible Machine Learning, to Using Job Queueing to Optimize for Efficiency of Your Compute Resources.Throughout the event, our speakers will answer selected questions via the Live Q&A Forum. We’ll wrap up the event with an After Party.Event:Machine Learning Day on Google Open Source LiveDate:Thursday, August 4th from 9:00 am - 11:00 am PSTAgenda:9:00 Opening for Machine Learning Day on Google Open Source LiveAlexandra Bush, Head of Open Source Marketing and Community (Google Cloud)Thea Lamkin, Senior Program Manager (Google)9:03 Session 1: Tools for Responsible Machine LearningAmy Wang, Product Manager (Google)Bhaktipriya Radharapu, Software Engineer (Google)Responsible Artificial Intelligence practices should be embedded within each step of the machine learning journey. We'll introduce an open s
Free copy Gartner® names Google as a Leader in the 2021 Magic Quadrant™ for Cloud Database Management Systems
Gartner recognizes Google as a Leader in the 2021 Magic Quadrant for Cloud Database Management Systems (DBMS) for its product Google Cloud Platform. We are honored to be named a Leader and look forward to partnering with you on your digital transformation journey. In this report, we believe you will learn:Why Google Cloud was named a Leader Where the cloud database and analytics market stands and where it’s going How the vendors are evaluated on the various criteria How Google's open data platform supports your data ecosystem Free Copy download from here.
Google AI and Machine Learning are Transforming Bose Ideas in 1901: "Power of Feeling in Plants". People wondered when Google first time introduce to google AI assistant Google Duplex.Google Duplex, is an AI assistant that can conduct phone calls for you and save you the trouble of human interaction.Then, Google announced that Google Assistant on the Google Home Hub has the ability to talk to plants, in particular, tulips. It was a great wonder for Bose world. That means google shows the world the reality of the Bose statement "Power of feeling in plants" was given by Sir Jagadish Chandra Bose -1901. It is a great implementation of advanced artificial intelligence and machine learning in google tulip.Sir Jagadish Chandra Bose was a pioneering Bangladeshi scientist who demonstrated through experimentation that animals and plants have many similarities. He showed that plants are sensitive to heat, cold, light, noise, and a variety of other external stimuli.Bose devised the crescograph,
In this video, we look at the eight biggest trends in the field of AI and machine learning. We cover the innovations around natural language processing, creative AI, data centric AI, as well as the democratization of AI via simple self-service user interfaces.The question is (What are new innovations in cloud that has revolutionized the implementation of AI?)Press om this link to watch now and discuss on this page - [SITE REMOVED DUE TO MALWARE]