#Diffusion model

[thepastisalreadywritten]

AI Tool Reproduces Ancient Cuneiform Characters with High Accuracy

ProtoSnap, developed by Cornell and Tel Aviv universities, aligns prototype signs to photographed clay tablets to decode thousands of years of Mesopotamian writing.

Cornell University researchers report that scholars can now use artificial intelligence to “identify and copy over cuneiform characters from photos of tablets,” greatly easing the reading of these intricate scripts​.

The new method, called ProtoSnap, effectively “snaps” a skeletal template of a cuneiform sign onto the image of a tablet, aligning the prototype to the strokes actually impressed in the clay​.

By fitting each character’s prototype to its real-world variation, the system can produce an accurate copy of any sign and even reproduce entire tablets​.

"Cuneiform, like Egyptian hieroglyphs, is one of the oldest known writing systems and contains over 1,000 unique symbols​.

Its characters change shape dramatically across different eras, cultures and even individual scribes so that even the same character… looks different across time,” Cornell computer scientist Hadar Averbuch-Elor explains​.

This extreme variability has long made automated reading of cuneiform a very challenging problem.

The ProtoSnap technique addresses this by using a generative AI model known as a diffusion model.

It compares each pixel of a photographed tablet character to a reference prototype sign, calculating deep-feature similarities.

Once the correspondences are found, the AI aligns the prototype skeleton to the tablet’s marking and “snaps” it into place so that the template matches the actual strokes​.

In effect, the system corrects for differences in writing style or tablet wear by deforming the ideal prototype to fit the real inscription.

Crucially, the corrected (or “snapped”) character images can then train other AI tools.

The researchers used these aligned signs to train optical-character-recognition models that turn tablet photos into machine-readable text​.

They found the models trained on ProtoSnap data performed much better than previous approaches at recognizing cuneiform signs, especially the rare ones or those with highly varied forms.

In practical terms, this means the AI can read and copy symbols that earlier methods often missed.

This advance could save scholars enormous amounts of time.

Traditionally, experts painstakingly hand-copy each cuneiform sign on a tablet.

The AI method can automate that process, freeing specialists to focus on interpretation.

It also enables large-scale comparisons of handwriting across time and place, something too laborious to do by hand.

As Tel Aviv University archaeologist Yoram Cohen says, the goal is to “increase the ancient sources available to us by tenfold,” allowing big-data analysis of how ancient societies lived – from their religion and economy to their laws and social life​.

The research was led by Hadar Averbuch-Elor of Cornell Tech and carried out jointly with colleagues at Tel Aviv University.

Graduate student Rachel Mikulinsky, a co-first author, will present the work – titled “ProtoSnap: Prototype Alignment for Cuneiform Signs” – at the International Conference on Learning Representations (ICLR) in April.

In all, roughly 500,000 cuneiform tablets are stored in museums worldwide, but only a small fraction have ever been translated and published​.

By giving AI a way to automatically interpret the vast trove of tablet images, the ProtoSnap method could unlock centuries of untapped knowledge about the ancient world.

[govindhtech]

GLOBECOM wireless channel modeling with diffusion models

Using generative diffusion models, MediaTek Research has created a novel approach to wireless channel modeling and sampling that has received much praise. The aforementioned model makes use of the notion of denoising diffusion models in conjunction with a series of invertible transformations in order to synthesize channel realizations from a constrained amount of data.

When compared to GAN-based techniques that already exist, the diffusion model provides more stable training and generates samples that are diverse and high-fidelity from the actual channel distribution. The research also shows that transfer learning is possible and highlights the possibility of a diffusion-based technique to mimic real-world channels despite having a limited amount of data.

When it comes to the development of 6G communication systems, AI has become an increasingly essential factor. Through the processing of enormous volumes of data and the implementation of decisions in real time, artificial intelligence (AI) has the potential to improve the effectiveness and functionality of wireless networks. Algorithms based on AI have the potential to increase overall network performance by optimizing resources, lowering latency, and reducing network lag.

MediaTek’s research on artificial intelligence (AI) and innovations in 6G communication systems are at the forefront of the field’s progression, assuring that future wireless networks will be more effective, dependable, and able to satisfy the requirements of developing technologies and applications. MediaTek is a pioneer in the development of breakthroughs in 6G communication systems by using the power of artificial intelligence. These breakthroughs are driving progress and enabling wireless networks to operate with higher efficiency, dependability, and adaptability. MediaTek is now in a leadership position within the industry as a result of these breakthroughs, which are critical in satisfying the increasing needs of developing technologies and applications.

[redslug]

I hate setting up cloth sim Anyway, I'd say it's doing a terrific job considering the somewhat shoddy input (skinning mishaps, clipping, simplistic textures, etc)

Definitely gets rid of the majority of "3d model feeling". The issues I can see are the drifting eye color and yellow flowers getting lost, but it's something that should get remedied with a model trained for specific character appearance. All in all, worth exploring further with more effort put into the base 3d render.

[tasknine]

I've been here all this time, what took you so long?

[alyssa-ai]

Birthday dinner at a friend's house, theme of the evening… white evening, I'm in the theme there, I think! 😁

Edit: A friend tells me, "what infinite legs" i would say, it's probably the magic of wide angle lenses 😁 📸

[hydrossity-zone]

idc if he has more polygons PUT HIM BACK!!!!!

[eroartworks]

How is my maid apron? 😍

[my888-ai-888]

[newspatron]

Emo AI: Revolutionizing Animation

What are your thoughts on Emo AI? Share your feedback in the comments!

Image Source – Newspatron Creative Team AI-Generated Image for representative purpose [Read About Us to know more] Dive into the world of Emo AI, a game-changing technology that’s transforming the realm of digital animation. Discover how Emo AI is breathing life into static images and reshaping our perception of what’s possible.” editor@newspatron.comEmo AI: This Game-Changing Tech Brings Your…

[cyberimagephantom]

[zayllorai]

Merry Christmas 🎅🤶🦌🎄🎁

[tasknine]

I put on your favourite outfit, want to help me take it off?

[alyssa-ai]

just for you @dryndelicate , I wouldn't want you to get the wrong idea about the height of my heels 👠 😉

[848ellie]

Carry the torch