Did you know Apple Scientists Propose Major AI Technology Innovations That Could Revolutionize iPhones And iPads
Apple is undoubtedly an unmatched rival in the world of technology and
innovation. And thanks to its latest research, which many feel is
groundbreaking, we could soon see it at the forefront of AI.
The iPhone maker just made some major revelations in AI research,
thanks to the publication of two new studies. They both rolled out new
methods for 3D avatars as well as the right kind of language model
inferences. Such advancements would give rise to limitless possibilities
as well as complex systems in use that continue to function on
top-of-the-line iPhones and iPads.
Photo: DIW-AI-gen
In the first study of its kind, the authors
have proposed a breakthrough means to produce 3D avatars via the likes
of short videos, including those made via a single camera. Dubbed
mononuclear videos, these are made with a small number of frames and
they can disentangle scenes while generating an animated version of a
human avatar in the shortest duration possible which is 30 minutes.
HUGS
makes use of 3D Gaussian splatting technology whereby human models are
produced through SMPI or static body shape molds. The latter enables
intricate details to be captured such as clothes and hair. Meanwhile, a
unique neural deformation system produces the results more realistically
through blend skinning.
As a whole, it’s a very coordinated movement that prevents artifacts and
gives rise to the reposting of the character or avatar. So what you get
is a one-of-a-kind production of the scene at large and the human
linked to it.
When you compare this to avatar creation
techniques, it’s faster and renders results quicker with limited
training. In the end, the results are amazing and very photorealistic
optimizing the system for just half an hour on classic GPUs used for the
likes of gaming.
Research has also proven how it gives rise to
results that surpass those seen with Vid2Avatar and even Neuman. In the
end, it’s 3D modeling capabilities that are so impressive, thanks to
researchers from iPhone maker Apple.
Such studies are unlocking the great potential of AI technology for creating avatars for the future too. Just the thought of designing all of this through a click of a button on your phone’s camera is mindblowing, authors concluded.
Photo: Apple
On the other hand, the second paper speaks about researchers at Apple tackling a host of challenges where LLMs are used across devices having a limited amount of space and memory. Today, top-of-the-line models like OpenAI’s GPT-4 give rise to inference that’s done across expensive hardware technology.
Such proposals limit data transfer during the inference phase. But seeing Apple carry out the construction of a model that’s in tune with flash memory is remarkable. It provides guidance in two leading areas and would limit data transfer via flash and also reduce reading the material in giant chunks.
This has to do with two processes dubbed Windowing and Row Column Bundling. The former makes utilizes activations again and the latter stores rows with columns for bigger data block reads.
Such revolutionary advancements are a huge deal and essential when it
comes to using LLMs in places where you’re limited with resources. This
would expand the use and how accessible they can be, the authors added.
And before you know it, this sort of optimization would give rise to
complicated AI assistants that smoothly run across iPhones, not to
mention iPads and more Apple products.
To sum it up, both
researchers are proof of how much Apple continues to lead the pack in
the world of AI research and related apps. It’s a promising endeavor but
critics are worried about how much care will be required, alongside
great responsibility when using the technology for a wide range of
products.
The impacts it can have on society need to be
considered as well, and then of course the matter of safeguarding
privacy needs to be evaluated further.
When and if done
correctly, we can call this as a revolution on its own and Apple really
must be credited for trying to take the realms of AI to the next level.