January 2022 - Artificial Intelligence Videos

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12:08

PROFILING AND OPTIMIZING PYTORCH APPLICATIONS WITH THE PYTORCH PROFILER | SABRINA SMAI

PyTorch Profiler is a tool that allows the collection of the performance metrics during the training and inference. The Profiler’s context API can be used to better understand what model operators are the most expensive, examine their input shapes and stack traces, study device kernel activity and visualize the execution trace. In this talk, Sabrina […]

01:23:26

Lecture 6: Neural Networks: Optimization Part 1

YouTube Source for this AI Video

05:20

SingularityNET: Delta Schema Network in Model based Reinforcement Learning – Aleksandra Shlychkova

The AGI Society has organised its 13th Artificial General Intelligence Conference this year online. The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of […]

09:14

STATE OF PYTORCH 2021 | DMYTRO DZHULGAKOV

It takes a village to build an open-source framework. PyTorch has added many great features and has seen explosive growth in 2021, all thanks to our awesome community of contributors. In this talk, Dmytro Dzhulgakov (Software Engineer, Meta AI) gives a run through of who builds PyTorch, new and upcoming improvements to the framework and […]

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03:35

SingularityNET: Rejuve 🌿 SingularityNET Ecosystem Roadmap End-of-Year Review Series #2 (check description box)

Blog: https://blog.singularitynet.io/rejuve-singularitynet-ecosystem-roadmap-end-of-year-review-series-2-b3afd148ee2a Website: https://rejuve.io Rejuve’s core mission is to build a decentralized network of researchers, clinics, and data contributors working together to arrive at breakthrough discoveries in the fight against aging, while making the resulting solutions affordable and accessible for all. Rejuve puts power back into the hands of the people, allowing anyone to monetize […]

52:36

Developing a Brain-Computer Interface Based on Visual Imagery

A brain-computer interface (BCI) is a technology to provide direct communication between the brain and an external device. In this project, we have utilized noninvasive electroencephalography (EEG) to record and decode neural activity during the observation and mental imagery of visual stimuli. Our platform has demonstrated successful discrimination between face and scene image categories during […]

41:29

Solving the Cocktail Party Problem with Machine Learning, w/ ‪Jonathan Le Roux – #555

Today we’re joined by Jonathan Le Roux, a senior principal research scientist at Mitsubishi Electric Research Laboratories (MERL). At MERL, Jonathan and his team are focused on using machine learning to solve the “cocktail party problem”, focusing on not only the separation of speech from noise, but also the separation of speech from speech. In […]

24:12

SingularityNET: The Artificial Scientist – AGI-21 Conference Contributed Talks

—- 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 the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, […]

01:02:36

Trends in Computer Vision with Georgia Gkioxari – #549

Happy New Year! We’re excited to kick off 2022 joined by Georgia Gkioxari, a research scientist at Meta AI, to showcase the best advances in the field of computer vision over the past 12 months, and what the future holds for this domain. Welcome back to AI Rewind! In our conversation Georgia highlights the emergence […]

22:35

SingularityNET: Combining Logic and Deep Learning – AGI-21 Conference Contributed Talks

14:42

Self-Driving Cars – Lecture 10.1 (Object Detection: Introduction)

Lecture: Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems and Solutions: https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/self-driving-cars/ Source of this “Tübingen Machine Learning” AI Video

15:09

Applications of Deep Neural Networks Course Overview (1.1, Spring 2022)

Spring 2022 Version. Applications of deep neural networks is a course offered in a hybrid format by Washington University in St. Louis. This course introduces Keras deep neural networks and highlights applications that neural networks are particularly adept at handling compared to previous machine learning models. Deep learning is a group of exciting new technologies […]

06:40

PYTORCH MOBILE AT META SCALE | CHRISTIAN KELLER & LINBIN YU

PyTorch Mobile was launched two years ago at PyTorch Developer Conference 2019. Today, PyTorch Mobile is used at scale. In this talk, Christian Keller and Linbin Yu do a deep dive on a specific use case, person segmentation, and how it is built and deployed at Meta scale. They’ll also cover how on-device AI is […]

03:53

SingularityNET: 2021 Year End Update – Engineering and Development Team, Anand Rajamani

Blog: https://blog.singularitynet.io/part-1-singularitynet-2021-year-end-update-and-a-sneak-peak-at-q1-2022-72110777b757 The Engineering and Platform team of highly talented developers are focused on shaping and enhancing the SingularityNET Platform to become the global AI mind. The team is continually building and augmenting the systems and infrastructure that underpin the ecosystem’s technology products and services. Note: For those unfamiliar, here are working definitions of SingularityNET’s […]

12:11

THE TRITON LANGUAGE | PHILIPPE TILLET

Triton is a new language that enables researchers with no CUDA experience to write highly efficient GPU code-most of the time on par with what an expert would be able to produce. Since its inception as a graduate research project, Triton has helped provide fast and maintainable kernels across several organizations (e.g., OpenAI, Facebook, Microsoft). […]

10:25

MODEL INTERPRETABILITY WITH CAPTUM | NARINE KOKHLIKYAN

In this talk, Narine Kokhlikyan (Research Scientist, Artificial Intelligence, Meta AI) discusses further developments of the Captum library beyond feature attributions. She dives deeper into adversarial perturbations, counterfactuals, concept-based model interpretability and shows how those approaches can be used together to increase models’ transparency and trust. Narine also demonstrates different applications of concept-based model interpretability […]

54:56

SingularityNET: Vector Parser – Cognition a compression or expansion of the world? – AGI-21 Contributed Talks

29:50

SingularityNET: The Gap between Intelligence and Mind Bowen XU – AGI-21 Conference Contributed Talks

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36:48

SingularityNET: Ben Goertzel – 2021 Reflection and Update on SNET, Ecosystem and Path to AGI

Dr. Ben Goertzel shares his thoughts on where we are at the end of 2021, beginning of 2022 – how progress toward AGI looks in retrospect, and looking into the future – updates on the ecosystem… And the importance of the SingularityNET Community 🥰 —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim […]

00:55

SingularityNET: Catalyst Fund7 Proposal | IlluminatAI SWARM

IlluminatAI SWARM, Catalyst Fund7 Proposal – Problem Statement: Our communities span multiple platforms, from Telegram to Discord, Twitch, YouTube and Facebook, requiring multiple commercial and custom bots. It’s tedious for moderation and high maintenance overhead with hosting and API updates. Solution: Scalable Wrappable Automated Response Modules, enabled by Bot-DSL, a formal language that allows a […]

36:44