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Category: robotics/AI – Page 1,478

Artificial Intelligence Agent Is a Winner at (the Game of) Diplomacy

An artificial intelligence (AI) agent named CICERO has mastered the online board game of Diplomacy. This is according to a new study by the Meta Fundamental AI Research Diplomacy Team (FAIR) that will be published today (November 22) in the journal Science.

AI has already been successful at playing competitive games like chess and Go which can be learned using only self-play training. However, games like Diplomacy, which require natural language negotiation, cooperation, and competition between multiple players, have been challenging.

The new agent developed by FAIR is not only capable of imitating natural language, but more importantly, it also analyzes some of the goals, beliefs, and intentions of its human partners in the game. It uses that information to figure out a plan of action that accounts for aligned and competing interests, and to communicate that plan in natural language, the researchers say.

AI: The Beast or Jerusalem? | Jonathan Pageau & Jim Keller | #308

Dr. Peterson’s extensive catalog is available now on DailyWire+: https://utm.io/ueSXh.

Dr. Jordan B. Peterson, Jonathan Pageau, and Jim Keller dive into the world of artificial intelligence, debating the pros and cons of technological achievement, and ascertaining whether smarter tech is something to fear or encourage.

Jim Keller is a microprocessor engineer known for his work at Apple and AMD. He has served in the role of architect for numerous game changing processors, has co-authored multiple instruction sets for highly complicated designs, and is credited for being the key player behind AMD’s renewed ability to compete with Intel in the high-end CPU market. In 2016, Keller joined Tesla, becoming Vice President of Autopilot Hardware Engineering. In 2018, he became a Senior Vice President for Intel. In 2020, he resigned due to disagreements over outsourcing production, but quickly found a new position at Tenstorrent, as Chief Technical Officer.

Jonathan Pageau is a French-Canadian liturgical artist and icon carver, known for his work featured in museums across the world. He carves Eastern Orthodox and other traditional images, and teaches an online carving class. He also runs a YouTube channel dedicated to the exploration of symbolism across history and religion.

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Flocks of assembler robots show potential for making larger structures

The new work, from MIT’s Center for Bits and Atoms (CBA), builds on years of research, including recent studies demonstrating that objects such as a deformable airplane wing and a functional racing car could be assembled from tiny identical lightweight pieces — and that robotic devices could be built to carry out some of this assembly work. Now, the team has shown that both the assembler bots and the components of the structure being built can all be made of the same subunits, and the robots can move independently in large numbers to accomplish large-scale assemblies quickly.

The new work is reported in the journal Nature Communications Engineering, in a paper by CBA doctoral student Amira Abdel-Rahman, Professor and CBA Director Neil Gershenfeld, and three others.

Will artificial intelligence ever discover new laws of physics?

SPEAKING at the University of Cambridge in 1980, Stephen Hawking considered the possibility of a theory of everything that would unite general relativity and quantum mechanics – our two leading descriptions of reality – into one neat, all-encompassing equation. We would need some help, he reckoned, from computers. Then he made a provocative prediction about these machines’ growing abilities. “The end might not be in sight for theoretical physics,” said Hawking. “But it might be in sight for theoretical physicists.”

Artificial intelligence has achieved much since then, yet physicists have been slow to use it to search for new and deeper laws of nature. It isn’t that they fear for their jobs. Indeed, Hawking may have had his tongue firmly in his cheek. Rather, it is that the deep-learning algorithms behind AIs spit out answers that amount to a “what” rather than a “why”, which makes them about as useful for a theorist as saying the answer to the question of life, the universe and everything is 42.

New Stable Diffusion 2.0 improves jaw-dropping capability for generating AI images

The new AI art software brings “brand new possibilities for creative applications.”

London and San Francisco-based Stability AI, the company that developed Stable Diffusion, an image-generating open-source AI software, has just announced the release of Stable Diffusion 2.0, as per a press statement on the company’s website.

What is Stable Diffusion?

Stability AI

The company’s new open-source offering provides new features and improvements over the 1.0 release, including new text-to-image models trained on a new encoder called OpenCLIP that improves the quality of the generated images.

Machine learning tools autonomously classify 1,000 supernovae

Astronomers at Caltech have used a machine learning algorithm to classify 1,000 supernovae completely autonomously. The algorithm was applied to data captured by the Zwicky Transient Facility, or ZTF, a sky survey instrument based at Caltech’s Palomar Observatory.

“We needed a helping hand, and we knew that once we trained our computers to do the job, they would take a big load off our backs,” says Christoffer Fremling, a staff at Caltech and the mastermind behind the , dubbed SNIascore. “SNIascore classified its first supernova in April 2021, and, a year and a half later, we are hitting a nice milestone of 1,000 supernovae.”

ZTF scans the night skies every night to look for changes called transient events. This includes everything from moving asteroids to black holes that have just eaten stars to exploding stars known as supernovae. ZTF sends out hundreds of thousands of alerts a night to around the world, notifying them of these transient events. The astronomers then use other telescopes to follow up and investigate the nature of the changing objects. So far, ZTF data have led to the discovery of thousands of supernovae.

Why Scientists are Giving Robots Human Muscles

Human-robot hybrids are advancing quickly, but the applications aren’t just for complete synthetic humans. There’s a lot we can learn about ourselves in the process.

Hosted by: Hank Green.

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Sources:

http://robotics.sciencemag.org/content/3/18/eaat4440
https://www.iis.u-tokyo.ac.jp/en/news/2916/
http://www.stroke.org/we-can-help/survivors/stroke-recovery/…emiparesis.
http://brainfoundation.org.au/images/stories/applicant_essay…_Terry.pdf.
https://www.ncbi.nlm.nih.gov/pubmedhealth/PMHT0027058/
https://training.seer.cancer.gov/anatomy/muscular/structure.html.
https://biodesign.seas.harvard.edu/soft-robotics.
https://www.nature.com/articles/nature14543

Images:

https://commons.wikimedia.org/wiki/File: Repliee_Q2_face.jpg.

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NEW Nvidia AI Turns Text To 3D Video Game Objects 8X Better Than Google | Game Design AI

Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
Nvidia unveils its new artificial intelligence 3D model maker for game design uses text or photo input to output a 3D mesh and can also edit and adjust 3D models with text descriptions. New video style transfer from Nvidia uses CLIP to convert the style of 3D models and photos. New differential equation-based neural network machine learning AI from MIT solves brain dynamics.

AI News Timestamps:
0:00 Nvidia AI Turns Text To 3D Model Better Than Google.
2:03 Nvidia 3D Object Style Transfer AI
4:56 New Machine Learning AI From MIT

#nvidia #ai #3D

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