SUSTech.
Researchers succeeded in a 3D printing strategy to construct flexible and stretchable light-emitting devices that can be integrated with soft robots.
SUSTech.
Researchers succeeded in a 3D printing strategy to construct flexible and stretchable light-emitting devices that can be integrated with soft robots.
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
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 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.
In this Robotics 24/7 Roundtable, viewers can learn how robots and software can enable retailers to improve productivity, manage their supply chains, and better serve consumers.
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.
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.
A team of researchers in the US and China has designed and built a neuromorphic AI chip using resistive RAM, also known as memristors.
The 48 core NeuRRAM chip developed at the University of California San Diego is twice as energy efficient as other compute-in-memory chips and provides results that are just as accurate as conventional digital chips.
Computation with RRAM chips is not necessarily new, and many startups and research groups are working on the technology. However it generally leads to a decrease in the accuracy of the computations performed on the chip and a lack of flexibility in the chip’s architecture.
Interested in learning what’s next for the gaming industry? Join gaming executives to discuss emerging parts of the industry this October at GamesBeat Summit Next. Register today.
Inworld AI has raised $50 million for its developer platform for creating AI-driven virtual characters in video games and the metaverse.
The firm raised the money in March and is announcing it now. It also hired special effects and entertainment pioneer John Gaeta as its chief creative officer. The company’s idea is to populate games with smarter computer-controlled characters so that players can have longer conversations with them and feel like the world is much more immersive.
Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.
AI adoption may be steadily rising, but a closer examination shows that most enterprise companies may not be quite ready for the big time when it comes to artificial intelligence.
Recent data from Palo Alto, California-based AI unicorn SambaNova Systems, for example, shows that more than two-thirds of organizations think using artificial intelligence (AI) will cut costs by automating processes and using employees more efficiently. But only 18% are rolling out large-scale, enterprise-class AI initiatives. The rest are introducing AI individually across multiple programs, rather than risking an investment in big-picture, large-scale adoption.