Doug Eck, Research Scientist, Google Magenta, at MLconf SF 2017

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The Role of AI and Machine Learning in Creativity: I’ll discuss Magenta, a Google Brain project investigating music and art generation using deep learning and reinforcement learning. I’ll describe the goals of Magenta and how it fits into the general trend of AI moving into our daily lives. One crucial question is: Where does AI and Machine Learning fit in the creative process? I’ll argue that it’s about augmenting and extending the artist rather than just creating artifacts (songs, paintings, etc.) with machines. I’ll talk about two recent projects. In the first, we explore the use of recurrent neural networks to extend musical phrases in different ways. In the second we look at teaching a neural network to draw with strokes. This will be a high-level overview talk with no need for knowledge of AI or Machine Learning. Bio:Doug leads Magenta, a Google Brain project working to generate music, video, image and text using deep learning and reinforcement learning. A main goal of Magenta is to better understanding how AI can enable artists and musicians to express themselves in innovative new ways. Before Magenta, Doug led the Google Play Music search and recommendation team. From 2003 to 2010 Doug was faculty at the University of Montreal’s MILA Machine Learning lab, where he worked on expressive music performance and automatic tagging of music audio.

The Role of AI and Machine
Learning in Creativity
Douglas Eck
@douglas_eck
Research Scientist
Google Brain Team

ConvNets

Translation
https://research.googleblog.com/2016/09/a-neural-network-for-machine.html
Perfect
translation
Human
Neural (GNMT)
Phrase-based
(PBMT)
English
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Spanish
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French
English
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Chinese
Spanish
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English
French
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Spanish
Chinese
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Spanish
Translation model
Translationquality
old: PBMT
new: GNMT

BACKTRANSLATION FROM JAPANESE
Kilimanjaro is a mountain of 19,710 feet covered with snow, which is said
to be the highest mountain in Africa. The summit of the west is called
“Ngaje Ngai” God ‘s house in Masai language. There is a dried and frozen
carcass of a leopard near the summit of the west. No one can explain
what the leopard was seeking at that altitude.
Kilimanjaro is 19,710 feet of the mountain covered with snow, and it is
said that the highest mountain in Africa. Top of the west, “Ngaje Ngai” in
the Maasai language, has been referred to as the house of God. The top
close to the west, there is a dry, frozen carcass of a leopard. Whether the
leopard had what the demand at that altitude, there is no that nobody
explained.
Google Neural Machine Translation (new system):
Phrase-Based Machine Translation (old system):

12%
of all responses
sent on mobile are sent
with ML-based
suggestions
Google Inbox

QuickDraw Dataset
Thanks to Jonas Jongejan and friends at Google Creative Lab.

Learning to Draw

Lower temperature
Higher temperature

Human Input Human InputReconstruction Reconstruction
Demo

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Chopin Etude in E Major (Opus 10 No 3)
Neural Network Performances

Chopin Etude in E Major (Opus 10 No 3)
Neural Network Performances

Chopin Etude in E Major (Opus 10 No 3)
Neural Network Performances

Chopin Etude in E Major (Opus 10 No 3)
Neural Network Performances

Chopin Etude in E Major (Opus 10 No 3)
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Photo: Magenta team member Jesse Engel

g.co/magenta

“Whatever you now ﬁnd weird, ugly, uncomfortable and
nasty about a new medium will surely become its
signature. CD distortion, the jitteriness of digital video,
the crap sound of 8-bit ... The distorted guitar sound is
the sound of something too loud for the medium
supposed to carry it….”
-- Brian Eno, A Year With Swollen Appendices

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Sneha Rajana - Deep Learning Architectures for Semantic Relation Detection Tasks

Building an Incrementally Trained, Local Taste Aware, Global Deep Learned Recommender System Model At Netflix, our main goal is to maximize our members’ enjoyment of the selected show by minimizing the amount of time it takes for them to find it. We try to achieve this goal by personalizing almost all the aspects of our product -- from what shows to recommend, to how to present these shows and construct their home-pages to what images to select per show, among many other things. Everything is recommendations for us and as an applied Machine Learning group, we spend our time building models for personalization that will eventually increase the joy and satisfaction of our members. In this talk we will primarily focus our attention on a) making a global deep learned recommender model that is regional tastes and popularity aware and b) adapting this model to changing taste preferences as well as dynamic catalog availability. We will first go through some standard recommender system models that use Matrix Factorization and Topic Models and then compare and contrast them with more powerful and higher capacity deep learning based models such as sequence models that use recurrent neural networks. We will show what it entails to build a global model that is aware of regional taste preferences and catalog availability. We will show how models that are built on simple Maximum Likelihood principle fail to do that. We will then describe one solution that we have employed in order to enable the global deep learned models to focus their attention on capturing regional taste preferences and changing catalog.In the latter half of the talk, we will discuss how we do incremental learning of deep learned recommender system models. Why do we need to do that ? Everything changes with time. Users’ tastes change with time. What’s available on Netflix and what’s popular also change over time. Therefore, updating or improving recommendation systems over time is necessary to bring more joy to users. In addition to how we apply incremental learning, we will discuss some of the challenges we face involving large-scale data preparation, infrastructure setup for incremental model training as well as pipeline scheduling. The incremental training enables us to serve fresher models trained on fresher and larger amounts of data. This helps our recommender system to nicely and quickly adapt to catalog and users’ taste changes, and improve overall performance.

Anoop Deoras - Building an Incrementally Trained, Local Taste Aware, Global D...

Anoop Deoras - Building an Incrementally Trained, Local Taste Aware, Global D...

Anoop Deoras - Building an Incrementally Trained, Local Taste Aware, Global D...

Vito Ostuni - The Voice: New Challenges in a Zero UI World The adoption of voice-enabled devices has seen an explosive growth in the last few years and music consumption is among the most popular use cases. Music personalization and recommendation plays a major role at Pandora in providing a daily delightful listening experience for millions of users. In turn, providing the same perfectly tailored listening experience through these novel voice interfaces brings new interesting challenges and exciting opportunities. In this talk we will describe how we apply personalization and recommendation techniques in three common voice scenarios which can be defined in terms of request types: known-item, thematic, and broad open-ended. We will describe how we use deep learning slot filling techniques and query classification to interpret the user intent and identify the main concepts in the query. We will also present the differences and challenges regarding evaluation of voice powered recommendation systems. Since pure voice interfaces do not contain visual UI elements, relevance labels need to be inferred through implicit actions such as play time, query reformulations or other types of session level information. Another difference is that while the typical recommendation task corresponds to recommending a ranked list of items, a voice play request translates into a single item play action. Thus, some considerations about closed feedback loops need to be made. In summary, improving the quality of voice interactions in music services is a relatively new challenge and many exciting opportunities for breakthroughs still remain. There are many new aspects of recommendation system interfaces to address to bring a delightful and effortless experience for voice users. We will share a few open challenges to solve for the future.

Vito Ostuni - The Voice: New Challenges in a Zero UI World

Vito Ostuni - The Voice: New Challenges in a Zero UI World

Vito Ostuni - The Voice: New Challenges in a Zero UI World

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The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Axa Assurance Maroc - Insurer Innovation Award 2024

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Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

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AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

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Andrey Devyatkin

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

The Digital Insurer

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

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TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

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FWD Group - Insurer Innovation Award 2024

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Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

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Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

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Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

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Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

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Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

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Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Manulife - Insurer Transformation Award 2024

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Architecting Cloud Native Applications

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Finding Java's Hidden Performance Traps @ DevoxxUK 2024

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Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

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Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

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TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

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Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

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FWD Group - Insurer Innovation Award 2024

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Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

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Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

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Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Doug Eck, Research Scientist, Google Magenta, at MLconf SF 2017

1. The Role of AI and Machine Learning in Creativity Douglas Eck @douglas_eck Research Scientist Google Brain Team

3.

4. Translation https://research.googleblog.com/2016/09/a-neural-network-for-machine.html Perfect translation Human Neural (GNMT) Phrase-based (PBMT) English > Spanish English > French English > Chinese Spanish > English French > Spanish Chinese > Spanish Translation model Translationquality old: PBMT new: GNMT

5. BACKTRANSLATION FROM JAPANESE Kilimanjaro is a mountain of 19,710 feet covered with snow, which is said to be the highest mountain in Africa. The summit of the west is called “Ngaje Ngai” God ‘s house in Masai language. There is a dried and frozen carcass of a leopard near the summit of the west. No one can explain what the leopard was seeking at that altitude. Kilimanjaro is 19,710 feet of the mountain covered with snow, and it is said that the highest mountain in Africa. Top of the west, “Ngaje Ngai” in the Maasai language, has been referred to as the house of God. The top close to the west, there is a dry, frozen carcass of a leopard. Whether the leopard had what the demand at that altitude, there is no that nobody explained. Google Neural Machine Translation (new system): Phrase-Based Machine Translation (old system):

6. 12% of all responses sent on mobile are sent with ML-based suggestions Google Inbox

7.

8. QuickDraw Dataset Thanks to Jonas Jongejan and friends at Google Creative Lab.

9. Learning to Draw

10. Lower temperature Higher temperature

11.

12. Human Input Human InputReconstruction Reconstruction Demo

13.

14.

15. A ht Xt h t Note on Note off Note Velocity Advance clock

16. A ht Xt h t Note on Note off Note Velocity Advance clock

17. Chopin Etude in E Major (Opus 10 No 3) Neural Network Performances

18. Chopin Etude in E Major (Opus 10 No 3) Neural Network Performances

19. Chopin Etude in E Major (Opus 10 No 3) Neural Network Performances

20. Chopin Etude in E Major (Opus 10 No 3) Neural Network Performances

21. Chopin Etude in E Major (Opus 10 No 3) Neural Network Performances

22.

23. RNN Decoder A h t X t Encoder Z Decoder

25. Encoder Z Measure and Phrase Decoders

26.

27.

28.

29. Photo: Magenta team member Jesse Engel

30. g.co/magenta

31. “Whatever you now ﬁnd weird, ugly, uncomfortable and nasty about a new medium will surely become its signature. CD distortion, the jitteriness of digital video, the crap sound of 8-bit ... The distorted guitar sound is the sound of something too loud for the medium supposed to carry it….” -- Brian Eno, A Year With Swollen Appendices