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Researchers engineer novel material capable of ‘thinking’

Someone taps your shoulder. The organized touch receptors in your skin send a message to your brain, which processes the information and directs you to look left, in the direction of the tap. Now, Penn State and U.S. Air Force researchers have harnessed this processing of mechanical information and integrated it into engineered materials that “think”.

The work, published today in Nature, hinges on a novel, reconfigurable alternative to integrated . Integrated circuits are typically composed of multiple electronic components housed on a single semiconductor material, usually silicon, and they run all types of modern electronics, including phones, cars and robots. Integrated circuits are scientists’ realization of information processing similar to the brain’s role in the . According to principal investigator Ryan Harne, James F. Will Career Development Associate Professor of Mechanical Engineering at Penn State, integrated circuits are the core constituent needed for scalable computing of signals and information but have never before been realized by scientists in any composition other than silicon semiconductors.

His team’s discovery revealed the opportunity for nearly any material around us to act like its own integrated circuit: being able to “think” about what’s happening around it.

MIT Scientists Release Open-Source Photorealistic Simulator for Autonomous Driving

MIT researchers unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles. Since they’ve proven to be productive test beds for safely trying out dangerous driving scenarios, hyper-realistic virtual worlds have been heralded as the best driving schools for autonomous vehicles (AVs). Tesla, Waymo, and other self-driving companies all rely heavily on data to enable expensive and proprietary photorealistic simulators, because testing and gathering nuanced I-almost-crashed data usually isn’t the easiest or most desirable to recreate.

Supercomputing center dataset aims to accelerate AI research into optimizing high-performance computing systems

When the MIT Lincoln Laboratory Supercomputing Center (LLSC) unveiled its TX-GAIA supercomputer in 2019, it provided the MIT community a powerful new resource for applying artificial intelligence to their research. Anyone at MIT can submit a job to the system, which churns through trillions of operations per second to train models for diverse applications, such as spotting tumors in medical images, discovering new drugs, or modeling climate effects. But with this great power comes the great responsibility of managing and operating it in a sustainable manner—and the team is looking for ways to improve.

“We have these powerful computational tools that let researchers build intricate models to solve problems, but they can essentially be used as black boxes. What gets lost in there is whether we are actually using the hardware as effectively as we can,” says Siddharth Samsi, a research scientist in the LLSC.

To gain insight into this challenge, the LLSC has been collecting detailed data on TX-GAIA usage over the past year. More than a million user jobs later, the team has released the dataset open source to the computing community.

Postumanism (Full Documentary)

TABLE OF CONTENTS —————
0:00–15:11 : Introduction.
15:11–36:12 CHAPTER 1: POSTHUMANISM
a. Neurotechnology b. Neurophilosophy c. Teilhard de Chardin and the Noosphere.

TWITTER https://twitter.com/Transhumanian.
PATREON https://www.patreon.com/transhumania.
BITCOIN 14ZMLNppEdZCN4bu8FB1BwDaxbWteQKs8i.
BITCOIN CASH 1LhXJjN4FrfJh8LywR3dLG2uGXSaZjey9f.
ETHEREUM 0x1f89b261562C8D4C14aA01590EB42b2378572164
LITECOIN LdB94n8sTUXBto5ZKt82YhEsEmxomFGz3j.
CHAINLINK 0xDF560E12fF416eC2D4BAECC66E323C56af2f6666.

POSTHUMAN TECHNOLOGY

36:12–54:39 CHAPTER 2 : TELEPATHY/ MIND-READING
a. MRI
b. fMRI
c. EEG
d. Cognitive Liberty e. Dream-recording, Dream-economies f. Social Credit Systems g. Libertism VS Determinism.

1:02:07–1:25:48 : CHAPTER 3 : MEMORY/ MIND-AUGMENTING
a. Memory Erasure and Neuroplasticity b. Longterm Potentiation (LTP/LTD)
c. Propanolol d. Optogenetics e. Neuromodulation f. Memory-hacking g. Postmodern Dystopias h. Total Recall, the Matrix, and Eternal Sunshine of the Spotless Mind i. Custom reality and identity.

1:25:48–1:45:14 CHAPTER 4 : BCI/ MIND-UPGRADING

George Church, PhD: Rewriting Genomes to Eradicate Disease and Aging

All around smart guy Dr Goerge Church talking about genetic engineering technologies.


George Church, Ph.D. is a professor of genetics at Harvard Medical School and of health sciences and technology at both Harvard and the Massachusetts Institute of Technology. Dr. Church played an instrumental role in the Human Genome Project and is widely recognized as one of the premier scientists in the fields of gene editing technology and synthetic biology.

EPISODE LINKS:
Show notes and transcript: https://www.foundmyfitness.com/episodes/george-church.
Dr. George Church on Twitter: https://twitter.com/geochurch.
Dr. George Church on Instagram: https://www.instagram.com/george.church.
Church lab: https://arep.med.harvard.edu/
Regenesis Book: https://www.amazon.com/Regenesis-Synthetic-Biology-Reinvent-…atfound-20

PODCAST INFO:
Email: https://www.foundmyfitness.com/newsletter.
Apple Podcasts: https://podcasts.apple.com/us/podcast/foundmyfitness/id818198322
Spotify: https://open.spotify.com/show/5QjpaU0o1Q2MkVZwwG3y7d.
RSS: https://podcast.foundmyfitness.com/rss.xml.

CHAPTERS:

Our approach to alignment research

Our approach to aligning AGI is empirical and iterative. We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.

Our alignment research aims to make artificial general intelligence (AGI) aligned with human values and follow human intent. We take an iterative, empirical approach: by attempting to align highly capable AI systems, we can learn what works and what doesn’t, thus refining our ability to make AI systems safer and more aligned. Using scientific experiments, we study how alignment techniques scale and where they will break.

We tackle alignment problems both in our most capable AI systems as well as alignment problems that we expect to encounter on our path to AGI. Our main goal is to push current alignment ideas as far as possible, and to understand and document precisely how they can succeed or why they will fail. We believe that even without fundamentally new alignment ideas, we can likely build sufficiently aligned AI systems to substantially advance alignment research itself.

Artificial Intelligence “Megatron” Scared Scientists With Its Predictions

A recent debate at Oxford University has convinced scientists that artificial intelligence is worth considering. The computer was asked about its views on the future, and whether AI’s emergence is ethical.

The AI that answered the questions is called Megatron and was created by a team at Nvidia. Megatron’s head contains all of Wikipedia, 63 million English news articles, and 38 gigabytes of Reddit chat.

This information helped him form his opinion. Participants also participated in the discussion. Megatron responded to their statements that they don’t believe that AI will have an ethical future, in a way that terrified those present.

Algorithms can prevent online abuse

Millions of children log into chat rooms every day to talk with other children. One of these “children” could well be a man pretending to be a 12-year-old girl with far more sinister intentions than having a chat about “My Little Pony” episodes.

Inventor and NTNU professor Patrick Bours at AiBA is working to prevent just this type of predatory behavior. AiBA, an AI-digital moderator that Bours helped found, can offer a tool based on behavioral biometrics and algorithms that detect sexual abusers in online chats with children.

And now, as recently reported by Dagens Næringsliv, a national financial newspaper, the company has raised capital of NOK 7.5. million, with investors including Firda and Wiski Capital, two Norwegian-based firms.