MIT scientists are building ElectroVoxels, small, smart, self-assembling robots designed for space.
It’s programmable matter, infinitely recyclable large-scale 3D printing, if you will, and it could be the future of robotics and machinery in space. In this TechFirst, I chat with MIT PhD student Martin Nisser.
In the future technology may help us enjoy prosperity beyond our dreams, with robots manufacturing our goods and attending all our needs but one… our need for purpose.
The first 1,000 people to use the link will get a free trial of Skillshare Premium Membership: https://skl.sh/isaacarthur04211
Check out Jerry’s story \.
How Human Consciousness Evolved.
Watch the newest video from Big Think: https://bigth.ink/NewVideo.
Join Big Think Edge for exclusive videos: https://bigth.ink/Edge.
Daniel C. Dennett is the author of Intuition Pumps and Other Tools for Thinking, Breaking the Spell, Freedom Evolves, and Darwin’s Dangerous Idea and is University Professor and Austin B. Fletcher Professor of Philosophy, and Co-Director of the Center for Cognitive Studies at Tufts University. He lives with his wife in North Andover, Massachusetts, and has a daughter, a son, and a grandson. He was born in Boston in 1942, the son of a historian by the same name, and received his B.A. in philosophy from Harvard in 1963. He then went to Oxford to work with Gilbert Ryle, under whose supervision he completed the D.Phil. in philosophy in 1965. He taught at U.C. Irvine from 1965 to 1971, when he moved to Tufts, where he has taught ever since, aside from periods visiting at Harvard, Pittsburgh, Oxford, and the École Normale Supérieure in Paris.
His first book, Content and Consciousness, appeared in 1969, followed by Brainstorms (1978), Elbow Room (1984), The Intentional Stance (1987), Consciousness Explained (1991), Darwin’s Dangerous Idea (1995), Kinds of Minds (1996), and Brainchildren: A Collection of Essays 1984–1996. Sweet Dreams: Philosophical Obstacles to a Science of Consciousness, was published in 2005. He co-edited The Mind’s I with Douglas Hofstadter in 1981 and he is the author of over three hundred scholarly articles on various aspects on the mind, published in journals ranging from Artificial Intelligence and Behavioral and Brain Sciences to Poetics Today and the Journal of Aesthetics and Art Criticism.
Dennett gave the John Locke Lectures at Oxford in 1983, the Gavin David Young Lectures at Adelaide, Australia, in 1985, and the Tanner Lecture at Michigan in 1986, among many others. He has received two Guggenheim Fellowships, a Fulbright Fellowship, and a Fellowship at the Center for Advanced Studies in Behavioral Science. He was elected to the American Academy of Arts and Sciences in 1987.
In today’s AI news, ElevenLabs said on Thursday it has raised $180 million in a new funding round that triples the voice cloning artificial intelligence startup’s valuation to $3.3 billion. The Series C funding round was co-led by Andreessen Horowitz and Iconiq Growth, with participation from additional new investors.
On Thursday, OpenAI announced that it is deepening its ties with the US government through a partnership with the National Laboratories and expects to use AI to “supercharge” research across a wide range of fields to better serve the public.
“This is the beginning of a new era, where AI will advance science, strengthen national security, and support US government initiatives,” OpenAI said.
In other advancements, Cerebras Systems announced today it will host DeepSeek’s breakthrough R1 artificial intelligence model on U.S. servers, promising speeds up to 57 times faster than GPU-based solutions while keeping sensitive data within American borders. The move comes amid growing concerns about China’s rapid AI advancement and data privacy.
And, the US Copyright Office issued AI guidance this week that declared no laws need to be clarified when it comes to protecting authorship rights of humans producing AI-assisted works. “Questions of copyrightability and AI can be resolved pursuant to existing law, without the need for legislative change,” the Copyright Office said.
2024 has been an incredible year for AI, but 2025 is set to redefine the future! From autonomous vehicles to personalized healthcare, the advancements in artificial intelligence are moving straight out of sci-fi and into our everyday lives.
In this video, we’ll explore 10 groundbreaking AI predictions for 2025 that could change how we live, work, and even explore space. If you think AI has already wowed us, wait until you see what’s next.
If you found this video insightful, check out these other videos on our channel:
Sam Altman FINALLY Reveals The Future Of AI In “2025”
• Sam Altman FINALLY Reveals The Future…
Singularity AI: Ray Kurzweil Reveals Future Tech Timeline To 2045
• Singularity AI: Ray Kurzweil Reveals…
Chapters:
Intro 0:00 — 0:22
Autonomous Vehicles 0:22 — 1:27
AI-Driven Customer Service 1:27 — 2:30
AI in Creative Industries 2:30 — 3:45
Personalized Healthcare 3:45 — 4:30
Smart Homes 4:30 — 5:20
AI-Powered Education 5:20 — 6:14
Environmental Monitoring 6:14 — 7:11
Advanced AI Companions 7:11 — 7:56
AI in Space Exploration 7:56 — 8:50
Workplace Automation 8:50 — 9:54
Are you ready to be amazed by the incredible advancements in artificial intelligence? In 2024, AI has reached unprecedented heights, showcasing breakthroughs that are revolutionizing industries and reshaping our everyday lives. This video explores the top 9 AI breakthroughs you won’t believe are real, highlighting innovations that are both astonishing and game-changing.
From groundbreaking developments in natural language processing to cutting-edge applications in healthcare, transportation, and creative arts, we cover the most significant strides in AI technology. Discover how these breakthroughs are enhancing efficiency, improving decision-making, and creating new possibilities that were once thought to be science fiction.
But it’s not just about the technology; we’ll also discuss the implications of these advancements. As AI becomes more integrated into our lives, understanding the benefits and challenges it presents is essential. This video provides insights into how these breakthroughs could change the way we interact with machines and each other.
What are the top AI breakthroughs of 2024? How is AI changing the world? What innovations in AI should I know about? What are the latest advancements in artificial intelligence? How will AI impact our future?This video will answer all these questions. Make sure you watch till the end!
Researchers at Linköping University (LiU), Sweden, have created an artificial organic neuron that closely mimics the characteristics of biological nerve cells. This artificial neuron can stimulate natural nerves, making it a promising technology for various medical treatments in the future.
Work to develop increasingly functional artificial nerve cells continues at the Laboratory for Organic Electronics, LOE. In 2022, a team of scientists led by associate professor Simone Fabiano demonstrated how an artificial organic neuron could be integrated into a living carnivorous plant to control the opening and closing of its maw. This synthetic nerve cell met two of the 20 characteristics that differentiate it from a biological nerve cell.
In their latest study, published in the journal Nature Materials, the same researchers at LiU have developed a new artificial nerve cell called conductance-based organic electrochemical neuron, or c-OECN, which closely mimics 15 out of the 20 neural features that characterize biological nerve cells, making its functioning much more similar to natural nerve cells.
Join us as we delve into the fascinating alternate history concept,. This special report covers the rise of automatons, the conflicts that ensued, and the eventual victory of humanity. Learn about the key battles, the role of loyalist robots, and the aftermath that shaped our modern world. Don’t miss this compelling story of resilience and innovation.
#Automaton #History #1913 #Technology #alternateHistory #Robotics #Innovation #HumanVsMachine #Documentary #scifiStory #HistoricalEvents
Researchers have developed AI-driven evaluation standards to enhance ageing-related interventions, aiming to improve health outcomes and longevity through personalized, reliable recommendations.
Researchers from the Yong Loo Lin School of Medicine at the National University of Singapore (NUS Medicine) and the Institute for Biostatistics and Informatics in Medicine and Aging Research at Rostock University Medical Center in Germany conducted a collaborative study on the use of advanced AI tools, such as Large Language Models (LLMs), to enhance the evaluation of ageing-related interventions and provide personalized recommendations. Their findings were published in the journal Ageing Research Reviews.
Ageing research generates vast amounts of data, making it challenging to assess the safety and effectiveness of interventions like new medications, dietary modifications, or exercise regimens. This study explored how AI can streamline data analysis with greater efficiency and accuracy.
