u/Best_Cup_8326

For a while, those hoping to avoid the difficulty and expense of dealing with Adobe’s Creative Suite have been able to use several free and/or open-source alternatives that replicate some or all of those capabilities. Now, one developer is using AI-powered reverse engineering to mimic the look, feel, and functionality of Adobe’s well-known software with what he hopes will soon be perfect fidelity.

Artcraft got its start last year as a “controllable AI for artists” that allows for precise post-generation editing of AI-crafted images and videos. Over the weekend, though, the brand debuted its pivot to a suite of seven open source apps recreating the user interface and tools found in Adobe’s Photoshop, Illustrator, Premiere, Lightroom, After Effects, InDesign, and Acrobat Pro.

"Health systems are under increasing pressure to help patients receive accurate diagnoses sooner while managing growing imaging demand and persistent workforce shortages," Elad Walach, CEO and co-founder of New York-based Aidoc, said in a statement Aug. 13. "By creating a reimbursement pathway for eligible use of diagnostic AI, the NTAP program is helping patients get earlier access to this transformative new technology.”

The basic idea is straightforward. If an artificial "twin" requires greater complexity to imitate the behavior of a biological neuron, then the biological neuron itself has greater computational power.

The results revealed a striking advantage for neurons in the human cortex. Their richly branching dendritic trees and distinctive electrical characteristics allow them to carry out surprisingly sophisticated computations on incoming information, including visual input (e.g., distinguishing between images of cats versus dogs).

In other words, an individual human cortical neuron is much more than a basic "on-off" component. Each cell can operate as a sophisticated computing unit in its own right, with computational abilities comparable to those of a deep neural network.

Human Neurons Could Inspire New AI

The findings could also influence the future of artificial intelligence. Today's leading machine learning systems are built from highly simplified artificial units. The new research points toward a different possibility: brain-inspired AI made from artificial units that are themselves computationally deep and powerful, more closely resembling the capabilities of biological neurons.

This disregards "intelligence too cheap to meter", but it fulfills a prediction of mine: the only things that have 'value' in the future are compute cycles and energy.

Today, wheelchairs.

Tomorrow, worldships!

Summary: A sulfur-based compound called LASSS appears to protect and supercharge a key protein involved in repairing damaged muscle. The discovery could eventually lead to new ways to slow muscle loss and preserve strength as people age.

Summary: The longevity-linked APOE2 gene appears to protect brain cells by reducing DNA damage and helping neurons recover from stress. The finding could open a new path toward treatments that mimic APOE2’s defenses in people at higher genetic risk for Alzheimer’s.

I'm not weighing in on whether this is a good or bad thing.

I'm just telling you how.

Reduce the "full time" work day to two hours/day.

That's one way to do it...

😆

Tensordyne’s new Napier AI Chip arrives with one clear mission: to make NVIDIA’s Blackwell and Rubin chips look considerably less impressive

The Napier chip will be the core component of the Tensordyne Napier TDN system, which is designed in collaboration with Broadcom and HPE Juniper Networks. The Napier platform has one goal: to unify AI through novel logarithmic AI math, a tightly integrated memory architecture, and a high-performance scale-up interconnect that drives higher token throughput at low power.