Data Phoenix

2021-07-27 15:00:16 Open / Comment

2021-07-27 10:00:06 Towards Real-World Blind Face Restoration with Generative Facial Prior

Xintao Wang et al. present a GFP-GAN that leverages a pretrained face GAN for blind face restoration. It is incorporated into the face restoration process via novel channel-split spatial feature transform layers, to achieve a good balance of realness and fidelity.

https://bit.ly/3i3B89M Open / Comment

2021-07-26 15:00:11 Patrick van der Smagt is director of AI research at Volkswagen Group and the lead of its Machine Learning Research Lab in Munich. The lab focuses on probabilistic deep learning for time series modelling, optimal control, robotics, and quantum machine learning. He is also a faculty member of the LMU Graduate School of Systemic Neurosciences and research professor at Eötvös Loránd University Budapest. He is the founding head of a European industry initiative on certification of ethics in AI applications and member of the AI Council of the State of Bavaria.

Patrick van der Smagt also directed a lab as a professor for machine learning and biomimetic robotics at the Technical University of Munich, while leading the machine learning group at the Fortiss research institute. He founded and headed the Assistive Robotics and Bionics Lab at the DLR Oberpfaffenhofen.

He did his PhD and MSc on neural networks in robotics and vision at several universities in Amsterdam. In addition to publishing numerous papers and patents on machine learning, robotics, and motor control, he has won a number of awards, including the 2013 Helmholtz-Association Erwin Schrödinger Award, the 2014 King-Sun Fu Memorial Award, the 2013 Harvard Medical School/MGH Martin Research Prize, and best-paper awards at machine learning and robotics conferences and journals. He was founding chairman of a non-for-profit organization for Assistive Robotics for tetraplegics and is a co-founder of various technology companies.


Did you know about Patrick van der Smagt? Open / Comment

2021-07-26 15:00:11 Open / Comment

2021-07-26 10:00:04 DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
In this paper by Eric Heiden et al., you'll learn about DiSECt, the first differentiable simulator for cutting soft materials. Through various experiments, the team evaluates the performance of the simulator, demostrating the potential for optimization in robotic cutting of soft materials.
https://bit.ly/3yicDeA Open / Comment

2021-07-25 15:00:07 Speeding Up Reinforcement Learning with a New Physics Simulation Engine

In this article, the researchers at Google AI invite all to check the results of their work and learn how to perform a more qualitative measure of Brax’s physics fidelity by training their own policies in the Brax Training Colab.
https://bit.ly/2UO6d8L Open / Comment

2021-07-25 10:00:07 ​​Friendly reminder from Data Phoenix - don't forget to smile today!
https://bit.ly/3i3yfWB Open / Comment

2021-07-24 15:00:07 High Fidelity Image Generation Using Diffusion Models

Join Google AI's team to push the performance of diffusion models to state-of-the-art on super-resolution and class-conditional ImageNet generation benchmarks. Learn the results of their tests and how they managed to limit the diffusion models for generative modeling problems.
https://bit.ly/3BzIV79 Open / Comment

2021-07-24 10:00:07 What to watch this weekend?
Our team prepared movie which is showing how machine learning can lead in movie industry.

A.I. Artificial Intelligence

It’s possible to feed algorithms and get a machine to work but is it possible for us to instill emotions into them? This field of thought has driven many debates and arguments globally (it’s still an oft-debated topic in tech circles). A.I. Artificial Intelligence, also known as A.I., is a 2001 American science fiction drama film directed by Steven Spielberg. A.I. tells the story a robot, a childlike android uniquely programmed with the ability to love. A robot boy programmed to experience human emotions embarks on a journey of self-discovery. Open / Comment

2021-07-23 15:00:16 ​​Hi folks! We know that some of you are looking for job opportunities now. To help you out a bit, we've put together a list of 10 cool positions available this week. Let us know what you think!

1) AWS, Machine Learning Developer
https://bit.ly/3kOKlEY
2) Accenture, Research Scientist (ML: Graph Representation Learning / Explainable AI)
https://accntu.re/3BAch5m
3) Apple, ML Researcher (Speech Recognition), Siri Understanding
https://apple.co/2V7ia9a
4) Spotify, Machine Learning Engineer for Content Platform
https://bit.ly/3hV9T1c
5) Stripe, Data Scientist for Forecasting Platform
https://bit.ly/3zn8TbY
6) Data Science UA, Machine Learning Engineer (Computer Vision)
https://bit.ly/3rswcOM
7) Data Science UA, Machine Learning Optimization Engineer
https://bit.ly/3ixOVEw
8) Apostera, Senior/Middle CV/ML Engineer
https://bit.ly/3BvZ9hr
9) Lohika / Capgemini, Data Science Engineer
https://bit.ly/3BHRLQr
10) AUTODOC, Data Analyst
https://bit.ly/3BzZoIk

Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info for details. We'll be proud to help your business thrive! Open / Comment