#digital twins

[materialsscienceandengineering]

Digital twin confirms nanotubes can detect cracks in aircraft wing mid-flight

Skoltech researchers have created a digital twin of a polymer composite material with a 2D sensor and successfully used it for structural integrity testing. The new technology can be used to manufacture various large structures, such as aircraft wings, wind turbine blades, and bridge spans, which are currently made of polymer composites. The layer of carbon nanotubes that the team inserted between the fiber-reinforced layers of the composite is so thin that adding a 2D sensor does not affect the thickness or overall design of an aircraft skin or other part. Defects in aircraft parts can be detected based on the changes in the electrical conductivity of the layer, and measurements can even be made during flight. This approach, called electrical impedance tomography, is a more efficient and less expensive alternative to fiber-optic sensors.

Read more.

[aurosoulart]

my AWE competition performance about the environmental benefits if digital twins is up on YouTube!!!!!

you can watch our part of it here (it starts with Javier, Figmin XR's founder, talking about why he created the app in the first place)

also, here's me giving the judges virtual sparklers & glowsticks, and the smiles on their faces :)

[paintedcrows]

They do this every year...

Happy 25th to Dipdop and Lebam!! and Happy 17th to Hatsune Miku!! 🎉🎉

(comic continued: The M&M stands for...)

[jellyskink]

Only Alex Hirsch himself could convince me that, once Mabel finds out about Ford's metal plate, she WON'T stick fun magnets to his head

[thecollectibles]

Art by Alex Twin

[flight0fthecrows]

holds them gently

[mushoki]

The World is Theirs !! 🌲🌈🌟🩵

(Click image for better quality)

[windwenn]

Been re-watching gravity falls for the summer

[doctorsiren]

Day 20 of Sirentober / Doctober

Hands / Journal

You can tell who never made a deal

Available as a print on my Etsy Shop

[jcmarchi]

What might happen if AI can feel emotions? - AI News

New Post has been published on https://thedigitalinsider.com/what-might-happen-if-ai-can-feel-emotions-ai-news/

What might happen if AI can feel emotions? - AI News

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In a world where artificial intelligence is becoming omnipresent, it’s fascinating to think about the prospect of AI-powered robots and digital avatars that can experience emotions, similar to humans.

AI models lack consciousness and they don’t have the capacity to feel emotions, but what possibilities might arise if that were to change?

The birth of emotional AI

The prospect of an AI system embracing those first sparks of emotion is perhaps not as far-fetched as one might think. Already, AI systems have some ability to gauge people’s emotions, and increasingly they’re also able to replicate those feelings in their interactions with humans.

It still requires a leap of faith to imagine an AI that could feel genuine emotions, but if it ever becomes possible, we’d imagine that they’ll be somewhat basic at first, similar to those of a child. Perhaps, an AI system might be able to feel joy at successfully completing a task, or maybe even confusion when presented with a challenge it doesn’t know how to solve. From there, it’s not difficult to envision that feeling of confusion evolving to one of frustration at its repeated failures to tackle the problem in question. And as this system evolves further, perhaps its emotional spectrum might expand to even feel a tinge of sadness or regret.

Should AI ever be able to feel such emotions, it wouldn’t be long before they could express more nuanced feelings, like excitement, impatience, and empathy for humans and other AIs. For instance, in a scenario where an AI system acquires a new skill or solves a new kind of problem, it might be able to experience a degree of satisfaction in success. This is similar to how humans feel when they solve a particularly taxing challenge, like a complex jigsaw puzzle, or when they do something for the first time, like driving a car.

Empathy as a motivator

As AI’s ability to feel emotion evolves, it would become increasingly complex, progressing to a stage where it can even feel empathy for others. Empathy is one of the most complex human emotions, involving understanding and sharing the feelings of someone else.

If AI can experience such feelings, they may inspire it to become more helpful, similar to how humans are sometimes motivated to help someone less fortunate.

An AI that’s designed to assist human doctors might feel sad for someone who is afflicted by a mysterious illness. The feelings might push it to try harder to find a diagnosis for the rare disease that person is suffering from. If it gets it right, the AI might feel an overwhelming sense of accomplishment at doing so, knowing that the afflicted patient will be able to receive the treatment they need.

Or we can consider an AI system that’s built to detect changes to an environment. If such a system were to recognise a substantial increase in pollution in a certain area, it might feel disappointed or even saddened by such a discovery. But like with humans, the feelings might also inspire the AI to find ways to prevent this new source of pollution, perhaps by inventing a more efficient way to recycle or dispose of the toxic substance responsible.

In a similar way, an AI system that encounters numerous errors in a dataset might be compelled to refine its algorithm to reduce the number of errors.

This would also have a direct impact on human-to-AI interactions. It’s not hard to imagine that an AI-powered customer service bot that feels empathy for a customer might be willing to go the extra mile to help resolve that person’s problem. Or alternatively, we might get AI teachers with a better understanding of their students’ emotions, which can then adapt teaching methods appropriately.

Empathetic AI could transform the way we treat people with mental health issues. The concept of a digital therapist is not new, but if a digital therapist can better relate to their patients on an emotional level, it can figure out how best to support them.

Is this even possible?

Surprisingly, we may not be that far off. AI systems like Antix are already capable of expressing artificial empathy. It’s a platform for creating digital humans that are programmed to respond sympathetically when they recognise feelings of frustration, anger or upset in the people they interact with. Its digital humans can detect people’s emotions based on their speech, the kinds of words they use, intonation, and body language.

The ability of Antix’s digital humans to understand emotion is partly based on the way they are trained. Each digital human is a unique non-fungible token or NFT that learns over time from its users, gaining more knowledge and evolving so it can adapt its interactions in response to an individual’s behaviour or preferences.

Because digital humans can recognise emotions and replicate them, they have the potential to deliver more profound and meaningful experiences. Antix utilises the Unreal Engine 5 platform to give its creations a more realistic appearance. Creators can alter almost every aspect of their digital humans, including the voice and appearance, with the ability to edit skin tone, eye colour, and small details like eyebrows and facial hair.

What sets Antix apart from other AI platforms is that users can customise the behaviour of their digital humans, to provide the most appropriate emotional response in different scenarios. Thus, digital humans can respond with an appropriate tone of voice, making the right gestures and expressions when they’re required to feel sad, for example, before transforming in an instant to express excitement, happiness, or joy.

AI is getting real

Emotional AI systems are a work in progress, and the result will be digital humans that feel more lifelike in any scenario where they can be useful.

The CEO of Zoom has talked about the emergence of AI-powered digital twins that can participate in video calls on their user’s behalf, allowing the user to be in two places at once, so to speak. If the digital human version of your boss can express empathy, satisfaction, excitement and anger, the concept would be more effective, fostering a more realistic connection, even if the real boss isn’t present in their physical form.

A customer service-focused digital human that’s able to empathise with callers will likely have a tremendous impact on customer satisfaction, and a sympathetic digital teacher might find ways to elicit more positive responses from its students, accelerating the speed at which they learn.

With digital humans capable of expressing emotions, the potential for more realistic, lifelike, and immersive experiences is almost limitless, and it will result in more rewarding and beneficial interactions with AI systems. 

Tags: ai, artificial intelligence

[mayaaverse]

Discover how Mayaaverse is transforming site visits with immersive virtual previews, driving real-world savings and efficiency. Redefine how you explore spaces with cutting-edge technology that bridges the digital and physical worlds. Dive into the future of site inspections today!

Read More:- Virtual Previews, Real-World Savings: Transforming Site Visits with MayaaVerse

[rtrevisan]

Uso da Inteligência Artificial na arquitetura e engenharia [GA]

A capacidade transformadora da Inteligência Artificial (IA) no campo da Arquitetura, Engenharia, Construção e Operação (AECO) decorre de intensas evoluções recentes em dois vetores: a evolução de hardware e o desenvolvimento de novas arquiteturas e capacidades de IA. A Nvidia, por exemplo, acaba de lançar o Blackwell, uma nova Unidade de Processamento Gráfico (GPU) que quintuplica o desempenho na…

[idea-explorer]

[vengoai]

With digital twin technology, even the busiest CEOs can connect directly with customers, transforming engagement, driving loyalty, and revolutionizing the customer experience. Read more: https://t.ly/HqmX3

[jgkoomey]

Our new report on digital twins for data center operations, out today!

The modern data center lies at the heart of today’s digital global economy, performing computing tasks like e-commerce, communications, search, financial modeling, and artificial intelligence (AI). Data centers undergo constant change, both in the workloads they run 24x7 and the hardware that runs those applications. 

Lack of adequate planning and management can lead to under-provisioning, over-heating, and lost capacity, all of which undermine the profitability and sustainability of these critical facilities. Today’s AI and high-performance compute nodes can exacerbate these problems.

When IT loads deviate from the original data center design, stranded power and cooling capacity are the result. A simple analogy helps explain the problem. Most people are familiar with the game of Tetris TM, in which blocks fall at a regular pace, and the player's task is to place those blocks in the correct orientation, filling up the space as thoroughly as possible.

In the simplest case, the blocks are of uniform size and shape (i.e., they conform precisely to what data center designers specified initially), and it's easy for the user to fill up the space completely. The example on the left-hand side of Figure 1 illustrates this case. On the right-hand side, the TetrisTM player cannot make the shapes fit perfectly because their shapes are random, and they just keep coming. That leaves gaps (white space) between the shapes, which represent lost capacityin the data center. White space above the colored bricks represents unused capacity.

Figure 1: Lost capacity as illustrated by the game of Tetris

Lost data center capacity is exactly analogous to what are often called “zombie servers” in data centers, which are servers using electricity but doing nothing useful. This time it’s part of the data center itself (the cooling and power infrastructure) that is costing money (and lots of it) but not enabling any useful computing.

In this paper, we describe the challenges data center planners face and the potential for digital twins to help better manage data centers over their useful lives. Combining digital twins with computational fluid dynamics software (models that simulate and predict the behavior of airflow and heat in data centers) helps planners and managers save millions of dollars, reduce energy waste, increase profitability, improve data center reliability, predict failures, and lengthen the useful lifespan of costly data center equipment.

Download the report.

Download my talk titled "Fighting Zombie Data Centers with Digital Twins".