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Archive for the ‘robotics/AI’ category: Page 348

May 31, 2023

Brain Computer Interfaces in 2050: Top 10 Future Technologies

Posted by in categories: augmented reality, bioengineering, business, genetics, robotics/AI, transhumanism

This video explores Brain Computer Interfaces in 2050. Watch this next video called “Transhumanism: 20 Ways It Will Change The World:” https://youtu.be/qcsihbGnXgE.
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May 31, 2023

Roberta Nelson Shea Reflects on Role in Steering Development of Robotics Safety Standards

Posted by in category: robotics/AI

Roberta Nelson Shea spoke with Robotics 24/7 to talk how the robotics safety standards have evolved and the work that needs to be done to update them.

May 31, 2023

Taming the swarm

Posted by in categories: biological, robotics/AI

Radhika is a professor at Harvard and a core faculty member of the Wyss Institute for Biologically Inspired Engineering. She studies collective behavior in biological systems and how such behaviors can be applied to computing and robotics.

Radhika Nagpal is the Kavli Professor of Computer Science at Harvard University and a core faculty member of the Wyss Institute.
for Biologically Inspired Engineering. At Harvard, she leads the Self-organizing Systems Research Group (SSR) and her research combines.
computer science, robotics, and biology. Her main area of interest is how cooperation can emerge or be programmed from large groups of.
simple agents. Radhika Nagpal is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering at Harvard, where she heads the Self-Organizing Systems Research Group in the study of collective behavior in biological systems and how such behaviors can be applied to computing and robotics. A professor at the Harvard School of Engineering and Applied Sciences (SEAS), her research draws on inspiration from social insects and multicellular biology, with the goal of creating globally robust systems made up of many cooperative parts.

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May 31, 2023

Artificial Intelligence. Brain Net, Hive Mind

Posted by in categories: education, robotics/AI, virtual reality

Taken from the UK Column.
AI is closer than you think, Dr Graham Downing.
talks about how they want to upload our minds to.
a network by injecting a mesh between the skull and the brain.
They are already testing this on rats.

Virtual reality goggles damage the mind, especially young minds.
But are starting to be pushed onto children at schools.

May 31, 2023

Beyond the Horizon: Transhumanism at the Nexus of Technology and Biology #006

Posted by in categories: biological, robotics/AI, transhumanism

Embark on a journey Beyond the Horizon, as we unravel the intriguing blend of Transhumanism, technology, and biology, revealing a potential future where human evolution and AI are inseparably linked.

May 31, 2023

Introducing NVIDIA ACE For Games — Spark Life Into Virtual Characters With Generative AI

Posted by in categories: entertainment, robotics/AI

NVIDIA ACE for Games’ suite of generative AI technologies enables more immersive and intelligent NPC game experiences. Watch the incredible demo and learn more.

May 31, 2023

Scientists use AI to discover new antibiotic to treat deadly superbug

Posted by in categories: biotech/medical, robotics/AI

AI used to discover abaucin, an effective drug against A baumannii, bacteria that can cause dangerous infections.

May 31, 2023

Boston Dynamics’ robotic dog, Spot, helping Paris rail inspectors

Posted by in category: robotics/AI

Boston Dynamics’ Spot is now helping Paris Metro inspectors repair some of the railway network.

May 31, 2023

This Week’s Awesome Tech Stories From Around the Web (Through May 27)

Posted by in categories: biotech/medical, internet, quantum physics, robotics/AI

From AI discovering a new antibiotic to IBM’s planned 100,000-qubit quantum computer, check out this week’s awesome tech stories from around the web.

May 31, 2023

ChatGPT Can’t Think—Consciousness Is Something Entirely Different to Today’s AI

Posted by in category: robotics/AI

There has been shock around the world at the rapid rate of progress with ChatGPT and other artificial intelligence created with what’s known as large language models (LLMs). These systems can produce text that seems to display thought, understanding, and even creativity.

But can these systems really think and understand? This is not a question that can be answered through technological advance, but careful philosophical analysis and argument tell us the answer is no. And without working through these philosophical issues, we will never fully comprehend the dangers and benefits of the AI revolution.

In 1950, the father of modern computing, Alan Turing, published a paper that laid out a way of determining whether a computer thinks. This is now called “the Turing test.” Turing imagined a human being engaged in conversation with two interlocutors hidden from view: one another human being, the other a computer. The game is to work out which is which.

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