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The Role of AI & Robotics in Space Exploration

Like many other industries, the space exploration process is also adopting Artificial Intelligence (AI) and robotics to fast-track its mission. This leads us to great lengths and never explored places. Emerging technologies like machine learning and deep learning are organizations working in space programs an opportunity to embrace AI and robotics. Robots help the space exploration process through the mechanical design of planetary rovers, the mechanical design of space manipulators, actuators and sensors of space robots, end-effector/tools of space robots, reconfigurable robots, and robot mobility. Here are some exemplary cases of robotics and AI in space tech.

1. Canadian Space Association launched Dextre, a robotic arm designed to install and replace small equipment such as exterior cameras or the 100-kg batteries used on the Space Station, and to test new tools and robotics techniques.

2. Voyager 1 and Voyager 2, were designed to conduct close-up studies of Jupiter and Saturn, Saturn’s rings, and both Jupiter and Saturn’s largest moon. These robots are still communicating information via the Deep Space Network (DSN) and are presently closer to Pluto than to Earth or the sun.

A Thousand Brains: A New Theory of Intelligence

Thousand brain model of human intelligence.


A Thousand Brains by Jeff Hawkins unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI and humanity. With a foreword by Richard Dawkins, A Thousand Brains tackles one of science’s greatest mysteries: what is intelligence and how does the brain create it? In this video series, Jeff talks to Numenta VP of Marketing Christy Maver about his motivations behind the book, what readers can expect and what each of the book’s three sections cover.

AI enters archaeology, scientists use algorithms to discover evidence of human use of fire nearly 1 million years ago

The use of fire was a key factor in the evolution of Homo sapiens, not only for the creation of more sophisticated tools but also for making food safer, which in turn aided brain development.

To date, only five sites with fire evidence dating back 500,000 years have been found worldwide, including Wonderwerk Caves and Swartkrans in South Africa, Chesowanja in Kenya, Gesher Benot Ya’aqov in Israel, and Cueva Negra in Spain.

Now, a n Israeli research team has used artificial intelligence algorithms to discover a sixth site that shows traces of human fire! The study revealed evidence of human use of fire at a late Paleolithic site in Israel. The research results have been published in the journal PNAS.

A celebrated AI has learned a new trick: How to do chemistry

Sign in Welcome! Log into your account your username your password Forgot your password? Get help Default Kit Password recovery Recover your password your email A password will be e-mailed to you. HometechA celebrated AI has learned a new…


Artificial intelligence has altered the practise of science by enabling researchers to examine the vast volumes of data generated by current scientific instruments. Using deep learning, it can learn from the data itself and can locate a needle in a million haystacks of information. AI is advancing the development of gene searching, medicine, medication design, and chemical compound synthesis.

Scientists Detect Fastest-Growing Black Hole in the Universe

To extract information from fresh data, deep learning employs algorithms, often neural networks trained on massive volumes of data. With its step-by-step instructions, it is considerably different from traditional computing. It instead learns from data. Deep learning is far less transparent than conventional computer programming, leaving vital concerns unanswered: what has the system learnt and what does it know?

AI Safety Researcher, Roman Yampolskiy | The Human Podcast #12

Roman Yampolskiy is an AI safety & security researcher. He’s a tenured associate professor at the University of Louisville and the director of the Cyber Security Laboratory.

The Human Podcast is a new show that explores the lives and stories of a wide range of individuals. New episodes are released every week — subscribe to stay notified.

AUDIO:
Spotify — Online Shortly.
Apple Podcasts — Online Shortly.

SOCIAL:
Twitter — https://twitter.com/heyhumanpodcast.
Instagram — https://www.instagram.com/heythehumanpodcast/

GUEST:
Roman’s Twitter — https://twitter.com/romanyam.
Roman’s Wikipedia — https://en.wikipedia.org/wiki/Roman_Yampolskiy.
Roman’s Webpage — http://cecs.louisville.edu/ry/
Roman’s Books — https://www.amazon.co.uk/Roman-V-Yampolskiy/e/B00DBE57XM
Roman’s Papers — https://scholar.google.com/citations?user=0_Rq68cAAAAJ&hl=en.

ORDER OF CONVERSATION:

DeepMind Takes A Step Towards General AI! 🤖

Deepmind takes a step towards general AI!

Two Minute Papers


❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers.

📝 The paper “A Generalist Agent (DeepMind Gato)” is available here:
https://www.deepmind.com/publications/a-generalist-agent.

❤️ Watch these videos in early access on our Patreon page or join us here on YouTube:

Breakthrough BCI Enables Brain-To-Brain Communication | Edge Computing Modular AI Chip | Robot Touch

AI News includes a breakthrough in brain computer interface tech that allows brain to brain communication between two operators, a modular, stackable AI chip for edge computing and consumers, and a spiking neuron array to allow robots to sense size, temperature, and weights when touching objects.

AI News Timestamps:
0:00 BCI Enables Brain-To-Brain Communication.
2:58 Edge Computing Modular AI Chip.
6:10 Robot Touch For Size, Temperature, & Weights.

Learn more about the future of decentralized AI here:
SingularityNET AGIX Website — https://singularitynet.io/
Developer Documentation — https://dev.singularitynet.io/
Publish AI Services — https://publisher.singularitynet.io/
AGIX Community Telegram — https://t.me/singularitynet
AGIX Price Chat Telegram — https://t.me/AGIPriceTalk

#ai #bci #robots

Can Computers Understand Complex Words and Concepts?

Summary: Artificial intelligence can understand complex words and concepts by representing the meaning of words in a similar way that correlates with human judgments.

Source: UCLA

In “Through the Looking Glass,” Humpty Dumpty says scornfully, “When I use a word, it means just what I choose it to mean — neither more nor less.” Alice replies, “The question is whether you can make words mean so many different things.”