Unreal Engine 5: Next Level Games Are Coming!

❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/0W5QSBO ❤️ Get about $50 off from an upcoming W&B event in San Francisco! - https://ift.tt/rI0Q6oy My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/s4AOoYT 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/A85WmVa Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/bZE3pKB

OpenAI's ChatGPT: The Future Of Teaching!

❤️ Check out the Gradient Dissent podcast by Weights & Biases: http://wandb.me/gd  ❤️ Get about $50 off from an upcoming W&B event in San Francisco! - https://ift.tt/j0PsSCx Check out Khanmigo here: https://ift.tt/l8hmQCH My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/9qr4fiy 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/kaiyV7J Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/gehUscX #chatgpt

Google Bard: Is It Better Than ChatGPT?

❤️ Check out Lambda here and sign up for their GPU Cloud: https://ift.tt/RWXYGtu Try Bard (note: not available in all countries yet): https://ift.tt/DXp6kZK 📝 The paper "PaLM 2 Technical Report" is available here: https://ift.tt/uKQ6EA2 My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/LJQ5y4T 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/KzdCeuF Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/zC8umiI #chatgpt #bard

Stable Diffusion Got Supercharged - For Free!

❤️ Check out Weights & Biases and say hi in their community forum here: https://ift.tt/5BQaoyE 📝 The paper "Adding Conditional Control to Text-to-Image Diffusion Models" is available here: https://ift.tt/BfuEwhG Try it out! ControlNet - https://ift.tt/jIDeAUZ ControlNet guide - how install and use it: https://ift.tt/mI0x9H4 Transform yourself (dance) - https://ift.tt/brO6cuo Group photo (cartooning) - https://ift.tt/sKI5fg9 Decartooning - https://ift.tt/x3PIQ4q W&B logo: https://twitter.com/weights_biases/status/1643261405771055105 Video as control signal: https://ift.tt/lvpHSDR My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/lOYSKXd 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/xsyOIlc Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/rBGEURh #stablediffusion

Shaping the future of AI to be more inclusive and approachable

Check out the podcast with Michelle Carney, a Machine Learning User Experience Researcher at Google. We chat about her careers in music, neuroscience, teaching, and machine learning have informed her ability to understand how people use Machine Learning tools, and provide better feedback to help make these tools more useful, helpful, kind, and inclusive of all types of user experiences. Listen to the full episode on YouTube→ https://goo.gle/PAI-MichelleCarney Catch more People of AI episodes → https://goo.gle/PeopleofAI #AI #ML

Kind and helpful Machine Learning through UX research

Meet Michelle Carney, a Machine Learning User Experience Researcher at Google. Join us as we learn how her careers in music, neuroscience, teaching, and machine learning have informed her ability to understand how people use Machine Learning tools, and provide better feedback to help make these tools more useful, helpful, kind, and inclusive of all types of user experiences. Resources: Visual Blocks for ML: https://goo.gle/3OfanzO Tone Transfer: https://goo.gle/3On9xku PAIR Guidebook: https://goo.gle/3Mx4Gff Machine Learning and UX (MLUX) Meetup Resource: https://goo.gle/mluxresources What is Machine Learning + UX?: https://goo.gle/42KWHB3 Stanford d.school on Designing Machine Learning: https://goo.gle/3OeRaOJ TensorFlow website → https://goo.gle/3BwLZSN Michelle Carney Links Twitter: https://goo.gle/3WfxMDc Linkedin: https://goo.gle/432u0PG Machine Learning and UX (MLUX) Meetup Resources: https://goo.gle/mluxresources What is MLUX?: https://goo.gle/42KWHB3 MLUX twitter (@mluxeetup): https://goo.gle/436wGMo MLUX meetup (you can see all of our past talks here!): https://goo.gle/41QpMts MLUX youtube (all of our past recordings!): https://goo.gle/42Ipt5a MLUX linkedin company page: https://goo.gle/45c5oWM Guest bio: Michelle Carney is a Computational Neuroscientist turned User Experience (UX) Researcher, whose practice focuses on the intersection of Data Science and UX. Currently a Senior UX Researcher on Google’s Tensorflow Team, Michelle's projects focus on combining Machine Learning and UX. Her work includes Magenta’s latest Tone Transfer project and People + AI Research team. Outside of work, Michelle organizes the Machine Learning and UX Meetup, and teaches at the Stanford d.school on Designing Machine Learning.

NVIDIA Is Simulating 100,000 Hair Strands!

❤️ Check out Lambda here and sign up for their GPU Cloud: https://ift.tt/ZYM5nv8 📝 The paper "Interactive Hair Simulation on the GPU using ADMM" is available here: https://ift.tt/mftV8Jr My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/kp3TtE7 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/fx7Kkn1 Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/rhDnegT

This New AI Is The Future of Videomaking!

❤️ Check out Lambda here and sign up for their GPU Cloud: https://ift.tt/uXfLSwT 📝 The paper "Structure and Content-Guided Video Synthesis with Diffusion Models" is available here: https://ift.tt/aY05w9v Try Runway: https://runwayml.com/ Full video made with runway: https://twitter.com/IXITimmyIXI/status/1649242592876412928 My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/nbXJTmQ 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/F40lRpI Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/g8bk2H9

DeepMind’s AI Athletes Play In The Real World!

❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/qNrOVh0 ❤️ Get more than $50 off from an upcoming W&B event in San Francisco! - https://ift.tt/7KeFzLf 📝 The paper "Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning" is available here: https://ift.tt/UkDV9P8 My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/5lTq8sH 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/FJMnV2A Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/PfMmkN9

Join us for the American Sign Language (ASL) Fingerspelling Competition

It’s time to build top-notch fingerspelling models that can quickly track fingers, hands, and faces with a smart camera. You could help shape and advance the future of sign language transcription by joining the American Sign Language Fingerspelling Recognition Competition brought to you by Kaggle and Google. Resources: Learn more → https://goo.gle/asl-fingerspelling Subscribe to TensorFlow → https://goo.gle/TensorFlow #TensorFlow #signlanguage #Kaggle Visual Description: In this video, San Forbes, a deaf musician and rapper, performs a song. Sean has short spiked hair, is light-skinned, wearing sunglasses and a black jacket with the words “deaf and loud” on the back. The video begins with a drone shot of the Google Bayview campus building, made of metal and glass. It then shows an opening scene of Sean in a board room with employees at laptops. Sean sees the home page for the Kaggle competition, closes his laptop, and begins singing and signing the lyrics of his song in American Sign Language. While he signs and sings, we see him in several colorful environments on the Google campus, including a music room with a drum set, outdoors near a Google “G” sign and moving among a giant chess set. At the end of the video, we return to the board room, where Sam Sepah, an ML researcher at Google, stands up and gives a small speech about the Kaggle competition. After doing this, Sean and Sam embrace, and the employees sitting at the table sign “applause” in ASL. The video closes with another drone-captured image flying over the Google Bayview campus.

Top AI/ML announcements from Google I/O 2023

Catch the top takeaways in AI and ML from Google I/O 2023. Joe Fernandez shares the latest updates, tools, and guidance available for creating and deploying models with Google artificial intelligence tech. From responsible generative AI to Kaggle models, TensorFlow, applied ML with Keras, Web ML, and beyond. There are sessions, workshops, and learning pathways for deeper understanding. For a complete overview of Google's artificial intelligence and machine learning offerings visit → https://goo.gle/3LAWVEC Join the waitlist to access the PaLM API for generative AI → https://goo.gle/4248lWY Watch more: Watch more AI/ML sessions → https://goo.gle/IO23_ai_ml All Google I/O 2023 sessions → https://goo.gle/IO23_all Subscribe to TensorFlow → https://goo.gle/TensorFlow #GoogleIO #GoogleAI

Building more skin tone inclusive computer vision models

In May 2022, we open sourced the MST Scale. In this session, we continue teaching the fundamentals of ML fairness with skin tone by providing examples, golden datasets, and references for computer vision researchers to label their own data sets. This is a session created out of popular demand from developers who want more detailed directions on how to use the Monk Skin Tone Scale. Resources: Learn more at Skintone.google → https://goo.gle/4341L43 Find full set of ML resources here → https://g.co/ai/build Speaker: Auriel Wright Watch more: Watch all the Technical Sessions from Google I/O 2023 → https://goo.gle/IO23_sessions Watch more AI/ML Sessions → https://goo.gle/IO23_ai_ml All Google I/O 2023 Sessions → https://goo.gle/IO23_all Subscribe to TensorFlow → https://goo.gle/TensorFlow #GoogleIO

OpenAI’s GPT-4: A 70-Year Old Lesson!

❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/eVAmhot 📝 The paper "Sparks of Artificial General Intelligence: Early experiments with GPT-4 is available here: https://ift.tt/Fk3ExLO More about GPT-4 here: https://ift.tt/SXGA37j My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/5L9Kzdc 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/RJ68zm4 Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/blK0rdp #gpt4 #chatgpt

NVIDIA’s New Video AI: Game Changer!

❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/hLiD4yA 📝 The #NVIDIA paper "Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models " is available here: https://ift.tt/nt1x4V6 My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://ift.tt/jd8uv3O 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/5tZg84b Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/nlcGrde

How to think about and build AI responsibly

There is a whole team at Google dedicated to designing AI best practices. They are committed to making progress in the responsible development of AI and share reliable, effective user-centered research, tools, datasets, and other resources with users. Meet one of the members of the team, Christina Greer, as she shares the in’s and out’s of working in the field of Responsible AI and how her personal experience and values make her a key player in this space! Resources: AI Principles: https://goo.gle/3VrCpJP Responsible AI practices: https://goo.gle/41XVeqI Guest bio: Christina Greer is a software engineer at Google Research. A veteran of a variety of efforts across the company including ads, data processing pipelines, and Google Assistant, she joined Google Research in 2018 to focus on bias and fairness in ML. Since then, she has built both teams and software to support measuring and mitigating ML models for bias, and consults with products across Google to support building safer products that work for everyone. In her spare time, Christina is a creative writer and a mom of 2 great kids. #AI #ML