114

08:09

What have AI language models learned?

AI and ML researchers developed Large Language Models (LLMs) like BERT to help machines interact with natural language, improving their abilities in tasks like chat and translation! Nithum Thain, Senior Software Engineer at Google PAIR, highlights the Explorable “What Have Language Models Learned” by Adam Pearce and shares what we can learn about BERT by […]

0

2

51:04

More Language, Less Labeling with Kate Saenko – #580

Today we continue our CVPR series joined by Kate Saenko, an associate professor at Boston University and a consulting professor for the MIT-IBM Watson AI Lab. In our conversation with Kate, we explore her research in multimodal learning, which she spoke about at the Multimodal Learning and Applications Workshop, one of a whopping 6 workshops […]

0

4.37K

08:40

Two Minute Papers: Google AI Simulates Evolution On A Computer! 🦖

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers ❤️ Their mentioned post is available here (Thank you Soumik Rakshit!): https://wandb.me/modern-evolution 📝 The paper “Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts” is available here: https://es-clip.github.io/ 🧑‍🎨 My previous genetic algorithm implementation for the Mona Lisa […]

0

5

01:33:07

SingularityNET: Ambassador Townhall Meeting #7 | June 21st 2022

Miro board with notes: https://miro.com/app/board/uXjVO0WVUBA=/ Slides: https://docs.google.com/presentation/d/1aMCU8n6qOTreuFFpJDYonn2UkBZ9M95CGxZsvHkLHMI/edit?usp=sharing Dework: app.dework.xyz/singularitynet-ambas GitBook: https://snet-ambassadors.gitbook.io/home/ The next Town Hall meeting will be June 28st, 18UTC. Special thanks to those who joined live! —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. […]

0

4

55:06

Optical Flow Estimation, Panoptic Segmentation, and Vision Transformers with Fatih Porikli – #579

Today we kick off our annual coverage of the CVPR conference joined by Fatih Porikli, Senior Director of Engineering at Qualcomm AI Research. In our conversation with Fatih, we explore a trio of CVPR-accepted papers, as well as a pair of upcoming workshops at the event. The first paper, Panoptic, Instance and Semantic Relations: A […]

0

78

01:07:34

#77 – Vitaliy Chiley (Cerebras)

Vitaliy Chiley is a Machine Learning Research Engineer at the next-generation computing hardware company Cerebras Systems. We spoke about how DL workloads including sparse workloads can run faster on Cerebras hardware. Pod: https://anchor.fm/machinelearningstreettalk/episodes/77—Vitaliy-Chiley-Cerebras-e1k1hvu [00:00:00] Housekeeping [00:01:08] Preamble [00:01:50] Vitaliy Chiley Introduction [00:03:11] Cerebrus architecture [00:08:12] Memory management and FLOP utilisation [00:18:01] Centralised vs decentralised compute […]

0

7

01:00:33

SingularityNET: Ambassador Townhall Meeting #6 | June 14th

Miro board with notes: https://miro.com/app/board/uXjVO0WVUBA=/ Slides: https://docs.google.com/presentation/d/1Bqx1xtDD-Cw59lP4H_32eXpUYqejDMBDR8ASb2MRLYo/edit?usp=sharing Dework: app.dework.xyz/singularitynet-ambas The next Town Hall meeting will be June 21st, 18UTC. Special thanks to those who joined live! —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. We gathered […]

0

437

22:23

Did Google’s LaMDA chatbot just become sentient?

#lamda #google #ai Google engineer Blake Lemoine was put on leave after releasing proprietary information: An interview with the chatbot LaMDA that he believes demonstrates that this AI is, in fact, sentient. We analyze the claims and the interview in detail and trace how a statistical machine managed to convince at least one human that […]

0

3

39:53

Data Governance for Data Science with Adam Wood – #578

Today we’re joined by Adam Wood, Director of Data Governance and Data Quality at Mastercard. In our conversation with Adam, we explore the challenges that come along with data governance at a global scale, including dealing with regional regulations like GDPR and federating records at scale. We discuss the role of feature stores in keeping […]

0

274

01:11:26

Pathways in Machine Learning/Data Science

-Welcome to our virtual event on pathways in Data Science and Machine Learning. We are excited to feature industry leaders including: -Caroline Lair, Founder of The Good AI, Co-founder of Women in AI https://www.linkedin.com/in/carolinelair/ -Sadie St Lawrence, Founder and CEO, Women in Data https://www.linkedin.com/in/sadiestlawrence/ -Gabriela de Queiroz, Chief Data Scientist, AI Strategy and Innovation, IBM […]

0

4

02:03:37

SingularityNET: Ambassador Town Hall meeting #5 | June 7 2022

Miro board with notes: https://miro.com/app/board/uXjVO0WVUBA=/ Slides: https://docs.google.com/presentation/d/1Bqx1xtDD-Cw59lP4H_32eXpUYqejDMBDR8ASb2MRLYo/edit?usp=sharing Dework: app.dework.xyz/singularitynet-ambas The next Town Hall meeting will be June 14th, 18UTC. Special thanks to those who joined live! —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. We gathered […]

0

2

50:34

Feature Platforms for Data-Centric AI with Mike Del Balso – #577

In the latest installment of our Data-Centric AI series, we’re joined by a friend of the show Mike Del Balso, Co-founder and CEO of Tecton. If you’ve heard any of our other conversations with Mike, you know we spend a lot of time discussing feature stores, or as he now refers to them, feature platforms. […]

0

594

05:55

Top AI and ML announcements from Google I/O 2022

Catch the top takeaways in AI and ML from Google I/O 2022. Laurence Moroney shares the latest updates, tools, and guidance available for creating and deploying models with TensorFlow tech. From responsible AI to Coral Dev Board Micro, MLOps, TensorFlow.js, and beyond. There are sessions, workshops, and learning pathways for deeper understanding. Watch more: All […]

0

1

01:05:32

SingularityNET: Ambassador Town Hall meeting #4 | May 31 2022

This is a recording of the fourth Ambassador Town Hall meeting. Miro board with notes: https://miro.com/app/board/uXjVO0WVUBA=/ Slides: https://docs.google.com/presentation/d/1_aHEAeVTrkE5zlqis8QaKD_BDJoLCqqqBAaaeCbxuUo/edit?usp=sharing Dework: app.dework.xyz/singularitynet-ambas The next Town Hall meeting will be June 7th, 18UTC. Special thanks to those who joined live! —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with […]

0

557

16:57

Build a smart IoT device with TensorFlow Lite and Raspberry Pi

Learn how to build smart IoT devices using TensorFlow Lite and Raspberry Pi. Discover pre-trained object detection and sound classification models that you can use off-the-shelf to “see” and “hear” the surrounding environments. If the off-the-shelf models don’t satisfy your app’s needs, learn how to collect training data and train your own custom models using […]

0

6

52:35

The Fallacy of "Ground Truth" with Shayan Mohanty – #576

Today we continue our Data-centric AI series joined by Shayan Mohanty, CEO at Watchful. In our conversation with Shayan, we focus on the data labeling aspect of the machine learning process, and ways that a data-centric approach could add value and reduce cost by multiple orders of magnitude. Shayan helps us define “data-centric”, while discussing […]

0

31

26:37

Tips and tricks for distributed large model training

Discover several different distribution strategies and related concepts for data and model parallel training. Walk through an example of training a 39 billion parameter language model on TPUs, and conclude with the challenges and best practices of orchestrating large scale language model training. Resource: TensorFlow website → https://goo.gle/3KejoUZ Speakers: Nikita Namjoshi, Vaibhav Singh Watch more: […]

0

42

15:50

Introducing Coral Dev Board Micro

Hear the latest updates from Google Coral, a platform for developing and deploying AI/ML solutions at the edge. This session reviews the latest Coral ecosystem development and industry innovations by developers around the world. Also, it introduces the new Coral Dev Board Micro, a dual-core & multi-model-capable microcontroller board that supports TF Micro models for […]

0

34

56:54

How to customize Machine Learning models the simple way

Learn the easiest way to customize pretrained Machine Learning models to your own data. Speaker: Gus Martins Watch more: All Google I/O 2022 Sessions → https://goo.gle/IO22_AllSessions ML/AI at I/O 2022 playlist → https://goo.gle/IO22_ML-AI All Google I/O 2022 workshops → https://goo.gle/IO22_Workshops Subscribe to TensorFlow → https://goo.gle/TensorFlow #GoogleIO Source of this TensorFlow AI Video

0

3

01:15:08

SingularityNET: Ambassador Workgroup meeting | Structure/Incubation workgroup – May 23 2022

This is a recording of the workgroup meeting of the Structure/Incubation workgroup, taken on May 23 2022. Miro board with notes: https://miro.com/app/board/uXjVO0WVUBA=/ Slides: https://docs.google.com/presentation/d/1z3TRRbwJ1nMW9-uxY4-TGTh3EWzE6n4Kkq5rzTVk0RI/edit?usp=sharing Feedback form: https://docs.google.com/forms/d/e/1FAIpQLSdUYr_Jcm-0yDE2dFcu3xa7iLhK_RihgAl5NKROXLMNeLlzPg/viewform?usp=sf_link Notion workspace: https://respected-editorial-305.notion.site/Ambassador-Home-3e038f9803df446ba95122cae10308f3 The next meeting will take place on May 30 2022 18 UTC. Thanks to all who joined! —- SingularityNET is a decentralized marketplace for artificial […]

0

12

01:10:07

SingularityNET: Ambassador Town Hall meeting #3 | May 24th 2022

This is a recording of the third Ambassador Town Hall meeting. Miro board with notes: https://miro.com/app/board/uXjVO0WVUBA=/ Slides: https://docs.google.com/presentation/d/1z3TRRbwJ1nMW9-uxY4-TGTh3EWzE6n4Kkq5rzTVk0RI/edit?usp=sharing Feedback form: https://docs.google.com/forms/d/e/1FAIpQLSdUYr_Jcm-0yDE2dFcu3xa7iLhK_RihgAl5NKROXLMNeLlzPg/viewform?usp=sf_link Notion workspace: https://respected-editorial-305.notion.site/Ambassador-Home-3e038f9803df446ba95122cae10308f3 The next meeting will be this Friday 27th of May, 16UTC, for the Community Podcast workgroup. The next Town Hall meeting will take place next Tuesday 31st of May, 18UTC. Thanks […]

0

92

13:21

An introduction to MLOps with TensorFlow Extended (TFX)

Deploying advanced machine learning technology to serve customers and/or business needs requires a rigorous approach and production-ready systems. An ML application in production requires modern software development methodology, as well as issues unique to ML and data science. Hear about the importance of MLOps, the use of ML pipeline architectures for implementing production ML applications, […]

0

6

49:09

Principle-centric AI with Adrien Gaidon – #575

This week, we continue our conversations around the topic of Data-Centric AI joined by a friend of the show Adrien Gaidon, the head of ML research at the Toyota Research Institute (TRI). In our chat, Adrien expresses a fourth, somewhat contrarian, viewpoint to the three prominent schools of thought that organizations tend to fall into, […]

0

128

17:58

TensorFlow.js: From prototype to production, what's new in 2022?

Join the TensorFlow.js team to learn about the latest updates around Web ML. Discover how you can enable Web ML for your business application or creative idea to build the next generation of web apps powered by AI and machine learning. Learn about new models, performance improvements, and improved tooling, all accessible from within the […]

0