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Category: robotics/AI – Page 55

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 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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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.

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Ever wondered what happens when AI becomes smarter than humans? As we approach the three “scary” stages of AI—AGI (Artificial General Intelligence), ASI (Artificial Superintelligence), and the ultimate stage, Singularity—the line between groundbreaking innovation and existential danger grows thinner.

In this video, we’ll explore these stages, the potential for AI to surpass human intelligence, and the profound consequences of machines thinking, evolving, and controlling their own destiny. Are we truly prepared for the rise of AI?

Chapters:

Intro 00:00 — 0:43

Continue reading “The 3 “SCARY” Stages of AI | AGI | ASI | SINGULARITY” | >

NCI researchers have developed an artificial intelligence (AI) tool that uses data from individual cells inside tumors to predict whether a person’s cancer will respond to a specific drug. These findings, published today in Nature Cancer, suggest that such single-cell RNA sequencing data could one day be used to help doctors more precisely match cancer patients with drugs that will be effective for their cancer.

An AI tool called PERCEPTION developed by NCI researchers could one day be used to help more precisely match patients with effective cancer drugs.

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Even if an android’s appearance is so realistic that it could be mistaken for a human in a photograph, watching it move in person can feel a bit unsettling. It can smile, frown, or display other various, familiar expressions, but finding a consistent emotional state behind those expressions can be difficult, leaving you unsure of what it is truly feeling and creating a sense of unease.

Until now, when allowing robots that can move many parts of their face, like androids, to display for extended periods, a “patchwork method” has been used. This method involves preparing multiple pre-arranged action scenarios to ensure that unnatural facial movements are excluded while switching between these scenarios as needed.

However, this poses practical challenges, such as preparing complex action scenarios beforehand, minimizing noticeable unnatural movements during transitions, and fine-tuning movements to subtly control the expressions conveyed.

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Generative AI has only been around for two years as an emerging technology, but it has already taken its place as a must-have tool for technology professionals. Job postings mentioning gen AI increased by a factor of 3.5x over the past year. For technology professionals, this points to a shift in emphasis in their day-to-day work. But given that it is now a mainstream skill, is it even necessary to include gen AI competencies in postings anymore?

In just two years, AI has gone from hype to essential skill, offering massive productivity gains and increasing creativity among teams who use it. Here’s how.

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