AI & Robotics News and Discussions

User avatar
Yuli Ban
Posts: 4631
Joined: Sun May 16, 2021 4:44 pm

Re: AI & Robotics News and Discussions

Post by Yuli Ban »

POLAR MANUFACTURING has been making ​metal ​hinges, locks, and brackets ​in south Chicago for more than 100 years. Some of the company’s metal presses—hulking great machines that loom over a worker—date from the 1950s. Last year, to meet rising demand amid a shortage of workers, Polar hired its first robot employee.
And remember my friend, future events such as these will affect you in the future
User avatar
caltrek
Posts: 6509
Joined: Mon May 17, 2021 1:17 pm

Re: AI & Robotics News and Discussions

Post by caltrek »

When Should Someone Trust an AI Assistant's Predictions?
by Adam Zewe
January 20, 2022

https://www.eurekalert.org/news-releases/940756

Introduction to News Release:
(MIT via EurekAlert) In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images. Using the AI system can help her make faster diagnoses, but how does she know when to trust the AI’s predictions?

She doesn’t. Instead, she may rely on her expertise, a confidence level provided by the system itself, or an explanation of how the algorithm made its prediction — which may look convincing but still be wrong — to make an estimation.

To help people better understand when to trust an AI “teammate,” MIT researchers created an onboarding technique that guides humans to develop a more accurate understanding of those situations in which a machine makes correct predictions and those in which it makes incorrect predictions.

By showing people how the AI complements their abilities, the training technique could help humans make better decisions or come to conclusions faster when working with AI agents.

“We propose a teaching phase where we gradually introduce the human to this AI model so they can, for themselves, see its weaknesses and strengths,” says Hussein Mozannar, a graduate student in the Clinical Machine Learning Group of the Computer Science and Artificial Intelligence Laboratory (CSAIL). “We do this by mimicking the way the human will interact with the AI in practice, but we intervene to give them feedback to help them understand each interaction they are making with the AI.”
Don't mourn, organize.

-Joe Hill
User avatar
caltrek
Posts: 6509
Joined: Mon May 17, 2021 1:17 pm

Re: AI & Robotics News and Discussions

Post by caltrek »

Meta Researchers Build an AI that Learns Equally Well from Visual, Written or Spoken Materials
by David Coldewey
January 20, 2022

https://techcrunch.com/2022/01/20/meta- ... materials/

Introduction:
(TechCrunch) Advances in the AI realm are constantly coming out, but they tend to be limited to a single domain: for instance, a cool new method for producing synthetic speech isn’t also a way to recognize expressions on human faces. Meta (AKA Facebook) researchers are working on something a little more versatile: an AI that can learn capably on its own whether it does so in spoken, written, or visual materials.

The traditional way of training an AI model to correctly interpret something is to give it lots and lots (like millions) of labeled examples. A picture of a cat with the cat part labeled, a conversation with the speakers and words transcribed, etc. But that approach is no longer in vogue as researchers found that it was no longer feasible to manually create databases of the sizes needed to train next-gen AIs. Who wants to label 50 million cat pictures? Okay, a few people probably — but who wants to label 50 million pictures of common fruits and vegetables?

Currently some of the most promising AI systems are what are called self-supervised: models that can work from large quantities of unlabeled data, like books or video of people interacting, and build their own structured understanding of what the rules are of the system. For instance, by reading a thousand books it will learn the relative positions of words and ideas about grammatical structure without anyone telling it what objects or articles or commas are — it got it by drawing inferences from lots of examples.

This feels intuitively more like how people learn, which is part of why researchers like it. But the models still tend to be single-modal, and all the work you do to set up a semi-supervised learning system for speech recognition won’t apply at all to image analysis — they’re simply too different. That’s where Facebook/Meta’s latest research, the catchily named data2vec, comes in.

The idea for data2vec was to build an AI framework that would learn in a more abstract way, meaning that starting from scratch, you could give it books to read or images to scan or speech to sound out, and after a bit of training it would learn any of those things. It’s a bit like starting with a single seed, but depending on what plant food you give it, it grows into an daffodil, pansy, or tulip.
Don't mourn, organize.

-Joe Hill
User avatar
Ozzie guy
Posts: 486
Joined: Sun May 16, 2021 4:40 pm

Re: AI & Robotics News and Discussions

Post by Ozzie guy »

I have no idea what this means in the practical sense and if it is related to progress in the longterm development of human level AGI, does anyone here know if the news is important or not?

"The Human Brain-Scale AI Supercomputer Is Coming ...
Funded by the Slovakian government using funds allocated by the EU, the I4DI consortium is behind the initiative to build a 64 AI exaflop machine (that’s 64 billion, billion AI operations per second) on our platform by the end of 2022. This will enable Slovakia and the EU to deliver for the first time in the history of humanity a human brain-scale AI supercomputer. Meanwhile, almost a dozen other countries are watching this project closely, with interest in replicating this supercomputer in their own countries."

https://www.forbes.com/sites/forbestech ... f6e65e75a5
User avatar
wjfox
Site Admin
Posts: 8733
Joined: Sat May 15, 2021 6:09 pm
Location: London, UK
Contact:

Re: AI & Robotics News and Discussions

Post by wjfox »

User avatar
caltrek
Posts: 6509
Joined: Mon May 17, 2021 1:17 pm

Re: AI & Robotics News and Discussions

Post by caltrek »

Don't mourn, organize.

-Joe Hill
User avatar
caltrek
Posts: 6509
Joined: Mon May 17, 2021 1:17 pm

Re: AI & Robotics News and Discussions

Post by caltrek »

Future of Life Institute Opens Worldbuilding Contest
January 2022 Newsletter

https://futureoflife.org/2022/01/19/fli ... sletter-2/

Introduction:
The Future of Life Institute (FLI) has launched a Worldbuilding competition with a prize purse worth $100,000 plus. Individuals and teams are invited to design visions of a plausible, aspirational future which includes artificial general intelligence.

Worldbuilding is the art and science of constructing a coherent and relatively detailed fictitious world. It is frequently practised by creative writers and scriptwriters, providing the context and backdrop for stories that take place in future, fantasy or alternative realities. FLI’s contest challenges entrants to use worldbuilding to explore possible futures for our own world.

The contest is designed to appeal broadly, with artistic components as well as more conceptual ones. Whether you’re a writer, an economist, a scientist, an AI researcher, a student, a filmmaker, an expert in geopolitics or simply a Sci-Fi enthusiast, we believe there’s something here for you.

FLI hopes to encourage people to start thinking about the future in more positive terms, particularly with regards to powerful new technologies. In order to steer the technology’s trajectory in a positive direction, we need to know what we’re aiming for. To know what future we would most like, we must first imagine the kinds of futures we could plausibly have. Unfortunately, not nearly enough effort goes into imagining what a good future might look like. Mainstream media tends to focus on the dystopias we could end up in. This contest seeks to change that.

Applications are due on 15th April 2022. If you’d like to attend a worldbuilding workshop or you need help finding team members, visit this page. For more information about the contest and to enter, visit this website.*
*https://worldbuild.ai/?utm_source=Activ ... Newsletter
Don't mourn, organize.

-Joe Hill
User avatar
caltrek
Posts: 6509
Joined: Mon May 17, 2021 1:17 pm

Re: AI & Robotics News and Discussions

Post by caltrek »

Argonne Scientists Use Artificial Intelligence to Improve Airplane Manufacturing

https://www.eurekalert.org/news-releases/941064

Introduction:
(Department of Energy/Argonne National Laboratory via EurekAlert) “It’s like programming a coffeemaker.”

When it comes to manufacturing new lightweight, yet strong components for new passenger jets, scientists are treating the process like trying to brew the most delicious cup of coffee.

By using artificial intelligence (AI) and machine learning, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are intelligently and automatically selecting the perfect settings for a different kind of hot brew — the process of friction stir welding, a common ingredient needed to manufacture airplane components.

In a new collaboration with GE Research, Edison Welding Institute and GKN Aerospace, Argonne computer scientists are putting the power of the laboratory’s automated machine learning expertise and supercomputers to use. By reducing the number of costly experiments and time-consuming simulations with a new machine learning approach, they can generate accurate models that provide valuable information about the welding process in much less time and at a fraction of the cost.

This approach, called DeepHyper, is a scalable automated machine learning package developed by Argonne computational scientist Prasanna Balaprakash and his colleagues at Argonne. Machine learning is a process by which a computer can train itself to find the best answers to a particular question.
Don't mourn, organize.

-Joe Hill
User avatar
caltrek
Posts: 6509
Joined: Mon May 17, 2021 1:17 pm

Re: AI & Robotics News and Discussions

Post by caltrek »

Boston Dynamics Warehouse Robot Gets a $15 Million Gig Working for DHL
by Brian Heater
January 26, 2022

https://techcrunch.com/2022/01/26/bosto ... g-for-dhl/

Introduction:
(TechCrunch) Back in March of last year, Boston Dynamics unveiled its second commercial robot, Stretch. The system, built from its impressive box-moving Handle concept, is designed to bring the company’s advanced robotics technologies into a warehouse/logistics setting – easily one of the hottest categories in robotics, these days.

Today the Hyundai-owned firm announced its first commercial customer – and it’s a big one. Logistics giant DHL has committed to a multi-year, $15 million deal (or “investment” as the parties are referring to it) set to bring the robot to its North American facilities. Specific details on the number of robots being purchased haven’t been revealed, but Boston Dynamics says it’s going to be bringing a “fleet” of the robots to DHL logistics centers over the next three years.

Stretch will get to work unloading trucks to start – a feature its creators have highlighted as a key part of its initial rollout. Additional tasks will be added, over the course of the roll out, in an effort to further automate the package handling process.

Says CEO Robert Playter, “Stretch is Boston Dynamics’ newest robot, designed specifically to remedy challenges within the warehouse space. We are thrilled to be working with DHL Supply Chain to deliver a fleet of robots that will further automate warehousing and improve safety for its associates. We believe Stretch can make a measurable impact on DHL’s business operations, and we’re excited to see the robot in action at scale.”
Don't mourn, organize.

-Joe Hill
weatheriscool
Posts: 12972
Joined: Sun May 16, 2021 6:16 pm

Re: AI & Robotics News and Discussions

Post by weatheriscool »

Robot performs first laparoscopic surgery without human help

by Johns Hopkins University
A robot has performed laparoscopic surgery on the soft tissue of a pig without the guiding hand of a human—a significant step in robotics toward fully automated surgery on humans. Designed by a team of Johns Hopkins University researchers, the Smart Tissue Autonomous Robot (STAR) is described today in Science Robotics.

"Our findings show that we can automate one of the most intricate and delicate tasks in surgery: the reconnection of two ends of an intestine. The STAR performed the procedure in four animals and it produced significantly better results than humans performing the same procedure," said senior author Axel Krieger, an assistant professor of mechanical engineering at Johns Hopkins' Whiting School of Engineering.

The robot excelled at intestinal anastomosis, a procedure that requires a high level of repetitive motion and precision. Connecting two ends of an intestine is arguably the most challenging step in gastrointestinal surgery, requiring a surgeon to suture with high accuracy and consistency. Even the slightest hand tremor or misplaced stitch can result in a leak that could have catastrophic complications for the patient.
https://techxplore.com/news/2022-01-rob ... human.html
Post Reply