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Researchers have developed an innovative therapeutic platform by mimicking the intricate structures of viruses using artificial intelligence (AI). Their pioneering research was published in Nature on December 18.

Viruses are uniquely designed to encapsulate genetic material within spherical protein shells, enabling them to replicate and invade host cells, often causing disease. Inspired by these complex structures, researchers have been exploring artificial proteins modeled after viruses.

These “nanocages” mimic viral behavior, effectively delivering therapeutic genes to target cells. However, existing nanocages face significant challenges: their small size restricts the amount of genetic material they can carry, and their simple designs fall short of replicating the multifunctionality of natural viral proteins.

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Experts can see how AI can be applied to biology to build biological systems.

Gravitational waves could help us crack the case.

Embodied AI enables robots and autonomous drones to interact with the real world, but how does it work?

Summary: A new study reveals that humans think at a rate of 10 bits per second, while sensory systems process a billion bits per second—100 million times faster. This highlights a paradox: why does the brain process thoughts so slowly when sensory input is so vast?

Researchers propose that the brain’s evolution prioritized focusing on single “paths” of thought, akin to navigating abstract concept spaces. These findings challenge notions of brain-computer interfaces enabling faster communication, as the brain’s inherent speed limit persists.

Are we on the path to becoming one with machines? 🤖✨ In this video, we dive deep into the concept of The Singularity—the point where humanity and artificial intelligence merge into one seamless entity. From advanced neural interfaces to AI-driven biological enhancements, we’ll explore the technologies paving the way for this future transformation.

UVA scientists created an MRI method to study heart fat. This method identifies unhealthy fat that raises heart disease risks.

Following successful early demonstrations of linking two quantum computing chips, IBM is aiming to break records for the largest quantum computer yet by combining many of them in parallel.

By Karmela Padavic-Callaghan