Carl Feynman, who pioneered cloth simulation in computer graphics, expressed amazement and concern over AI’s rapid progress. He noted how an AI model managed to create a complex cloth animation in minutes, a task that previously required extensive human effort and powerful computers.
Summary: A new brain-computer interface (BCI) has enabled a paralyzed man to control a robotic arm by simply imagining movements. Unlike previous BCIs, which lasted only a few days, this AI-enhanced device worked reliably for seven months. The AI model adapts to natural shifts in brain activity, maintaining accuracy over time.
After training with a virtual arm, the participant successfully grasped, moved, and manipulated real-world objects. The technology represents a major step toward restoring movement for people with paralysis. Researchers are now refining the system for smoother operation and testing its use in home settings.
In IDB, macrophages, a type of immune cell begins producing excessive levels of pro-inflammatory cytokines. These proteins then stick to macrophage receptors which triggers them to produce even more of this inflammatory protein. But UC San Diego researchers can break that cycle with a microrobot.
In previous experiments, UC San Diego researchers delivered drugs with microrobots, most notably in the lungs, and succeeded in minimizing the drug’s side effects. For the IBD study, however, they didn’t even need to use a drug.
Using body parts from simple animals in robotics is not as controversial. But it’s still important to consider the impact on these living creatures. It may seem that bugs and jellyfish and mollusks aren’t capable of caring about how we use their bodies. But what if we’re wrong about that? Some researchers are finding that such creatures might have more awareness and feelings than expected.
Living robots also interact with the environment. What if a jellyfish outfitted with electronics got eaten? Xu is hoping to develop biodegradable electronics that wouldn’t harm other animals or pollute the ocean.
Biohybrid robots blur the line between machine and living thing. The jellyfish cyborgs are obviously still alive. But most biohybrids don’t really fit into one category or the other. Shin says of her heart-cell-covered bot: “it’s not a creature.” But it’s not a typical robot, either.
“Nanobrain: The Making of an Artificial Brain from a Time Crystal” by Anirban Bandyopadhyay Book Link: https://amzn.to/3QQ4s44
The hosts discuss the book “Nanobrain” by Anirban Bandyopadhyay, an in-depth exploration of a nanobrain, an artificial brain built on the principles of fractal geometry and prime numbers, which claims to mimic human thought. It introduces Prime Phase Metric (PPM) which expands time crystals from natural events, and Geometric Musical Language (GML) which assigns fifteen primes to letters, similar to the English alphabet, and how the combination is consciousness-centric. The document contrasts this artificial brain’s functioning with traditional Turing machines and quantum computing, emphasizing its unique approach to data processing and decision-making and self-learning, and discusses its potential limitations and advantages. It investigates the use of time crystals, dynamic geometric shapes, and fractal mechanics, and the role that they may have in memory and learning in this new computer. Finally, the work explores the philosophical implications of such a machine, including its potential for achieving consciousness and the idea of recreating nature through a non-computational paradigm, such as modeling a new type of robot.
#ArtificialIntelligence #AIRevolution #Nanobrain #TimeCrystals #QuantumAI #FutureofAI #AIBreakthrough #NextGenAI #TechTrends #AIHardware #NaturalAI #NoCodeAI #SelfLearningAI #AIAAlternative #BrainAI #NewMachine #FutureMachine #AdvancedAI #InformationReality #PhysicsMetaphysics #NatureOfReality #QuantumInformation #BiologicalInformation #PhilosophyOfScience #ScienceAndTheology #CosmicInformation #OriginOfLife #UltimateReality #MeaningOfInformation #ComplexSystems #HistoryOfScience #Interdisciplinary #SciencePhilosophy #deepdive #skeptic #podcast #synopsis #books #bookreview #ai #artificialintelligence #booktube #aigenerated #history #alternativehistory #aideepdive #ancientmysteries #hiddenhistory #futurism #videoessay #primenumber
In today’s AI news, Crunchbase, long known as a go-to platform for company data, has relaunched as an AI-powered solution, revolutionizing how investors, founders, and innovators gain insights into private companies. Moving beyond historical data, the new Crunchbase introduces live, predictive intelligence, providing a real-time, forward-looking view of the market. Users can now anticipate funding rounds, acquisitions, and even IPO’s.
In other advancements, EcoDataCenter, a Swedish company that builds eco-friendly data centers used by major compute providers to handle their AI traffic, has raised nearly half a billion dollars — $478 million (€450 million) to be exact — in anticipation of more demand. The equity funding, which is coming from a group of unnamed institutional investors, will be used to continue developing new technologies for more “green” data centers.
Meanwhile, we still didn’t get a straight-up definition of exactly what an AI agent is during Bret Taylor’s Mobile World Congress fireside chat in Barcelona on Tuesday. The Sierra founder and OpenAI board chair preferred to sidestep CNN moderator Anna Stewart’s question asking how “agentic AI” is “any different to a GenAI chatbot” by suggesting everyone hates the former but is delighted by the “empathetic” responses AI agents can serve up.
And, former Google CEO Eric Schmidt, Scale AI CEO Alexandr Wang, and Center for AI Safety Director Dan Hendrycks said that the U.S. should not pursue a Manhattan Project-style push to develop AI systems with “superhuman” intelligence, also known as AGI. The paper, titled “Superintelligence Strategy,” asserts that an aggressive bid by the U.S. to exclusively control superintelligent AI systems could prompt fierce retaliation from China.
In videos, as we join this episode of the Lightcone podcast we find CEO, Garry Tan and the team talking about how Andrej Karpathy recently coined the term “vibe coding” to describe how LLMs are getting so good that devs can simply “give in to the vibes, embrace exponentials, and forget that the code even exists.” They dive into this new way of programming and what it means for builders in the age of AI.
S Matthew Miller at Bloomberg Invest.” + And, “there are no authorities in science,” says A.M. Turing Award winner Richard S. Sutton. In this exclusive conversation, Amii Chief Scientific Advisor Richard S. Sutton and Amii CEO Cam Linke discuss the breakthroughs that shaped Reinforcement Learning, the journey to this moment, and what’s next for the future of artificial intelligence.
We close out with, learning to use LangGraph, JavaScript, and tools like Next.js and wxflows, from IBM’s Roy Derks, to automate transcription. Discover how to integrate open-source models like Ollama to power your AI agent.
YouTube warns that scammers are using an AI-generated video featuring the company’s CEO in phishing attacks to steal creators’ credentials.
The attackers are sharing it as a private video with targeted users via emails claiming YouTube is changing its monetization policy.
“We’re aware that phishers have been sharing private videos to send false videos, including an AI generated video of YouTube’s CEO Neal Mohan announcing changes in monetization,” the online video sharing platform warned in a pinned post on its official community website.
The AI revolution is happening faster than experts ever predicted — and we’ve hit the turning point.
The long-debated arrival of artificial general intelligence (AGI) may be closer than we think, with some experts suggesting we could reach the technological singularity within the next year.
A new analysis of nearly 8,600 expert predictions reveals shifting timelines, particularly since the rise of large language models (LLMs) like ChatGPT. While previous estimates placed AGI’s emergence around 2060, recent advancements have led many to revise their forecasts to as early as 2030.
Some industry leaders, however, believe AGI’s arrival is imminent, and with the rapid progression of computing power and potential breakthroughs in quantum computing, we may soon see machines capable of surpassing human intelligence.
Despite the excitement, skepticism remains. Some researchers argue that intelligence is more than just computational power, encompassing emotional, social, and existential dimensions that machines may never fully replicate. Others question whether AI, no matter how advanced, can independently drive scientific discoveries or simply act as an accelerator for human innovation. While the exact timeline for AGI remains uncertain, one thing is clear: humanity is on the brink of an AI-driven transformation, and the choices we make now will determine whether this future benefits or disrupts society.
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OpenAI is betting big on ChatGPT, which is generating at least $4 billion in annualized revenue. But that’s not the only application the AI firm is hoping will make big bucks. If you saw our story last month detailing OpenAI’s financial projections, you might have noticed an intriguing reference…
