World shares its vision for the next chapter of proof of human, and the partners, products, and protocol upgrades that accelerate every human in the age of AI.
Category: robotics/AI – Page 108
How to Build a Death Star According to a NASA Engineer
NASA’s Brian Muirhead explains how to build a Death Star and tells us what it would really be like to fly past a flurry of asteroids.
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How to build a death star according to a NASA engineer.
Q&A: Will agentic AI replace human scientists?
An emerging type of artificial intelligence, known as “agentic” AI, seems to do everything that biomedical scientists do—and often, does it faster. This next-generation technology can interpret experimental data, report the results and make decisions on its own. But is agentic AI smart enough to replace actual scientists?
Jason Moore, Ph.D., chair of the Department of Computational Biomedicine at Cedars-Sinai, discusses the pluses and minuses of agentic AI. Moore is corresponding author of a new paper, published in Nature Biotechnology, that examines where agentic AI is today and where it is headed.
Quantum-informed AI improves long-term turbulence forecasts while using far less memory
An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system over the long term than current best models that use only conventional computers, according to a new study led by UCL (University College London) researchers. The findings, published in the journal Science Advances, could improve models predicting how liquids and gases move and interact (fluid dynamics), used in areas ranging from climate science to transport, medicine and energy generation.
The researchers say the improved performance is linked to a quantum device’s ability to hold a large amount of information more efficiently. That is because instead of bits that are switched on or off, 1 or 0, as in a classical computer, the quantum computer’s qubits can be 1, 0, or any state in between, and each qubit can affect any of the other qubits—meaning a few qubits can generate a vast number of possible states.
Senior author Professor Peter Coveney, based in UCL Chemistry and the Advanced Research Computing Center at UCL, said, To make predictions about complex systems, we can either run a full simulation, which might take weeks—often too long to be useful—or we can use an AI model, which is quicker but more unreliable over longer time scales.
Slime-like artificial muscle reshapes on command, heals after damage and turns one robot into many
Breaking away from conventional robots that perform only predefined functions once fabricated, researchers have developed a next-generation artificial muscle that can change its shape in real time, recover from damage, and even be reused. The study is published in Science Advances.
The researchers developed a new type of dielectric elastomer actuator (DEA) using a phase-transitional ferrofluid (PTF) that behaves as a solid at room temperature but becomes fluid-like and highly flexible when exposed to external stimuli such as heat or magnetic fields.
Dielectric elastomer actuators (DEAs) are soft transducers that convert electrical energy into mechanical motion and are often referred to as artificial muscles because of their ability to move rapidly and precisely like human muscles.
Reddit Analysis Uncovers Unreported GLP-1 Side Effects
A large-scale analysis of Reddit data identifies symptoms—including fatigue and menstrual changes—frequently missed in clinical trials. These real-world patient insights highlight a broader spectrum of physiological responses to semaglutide and tirzepatide. More on the analysis.
Reproductive symptoms, temperature-related complaints, and psychiatric symptoms were among the side effects of GLP-1 drugs reported in an analysis of Reddit posts.
“Clinical trials tell us a lot, but they’re conducted under very controlled conditions with carefully selected participants,” Neil Sehgal, a doctoral student at the University of Pennsylvania School of Engineering and Applied Science, Philadelphia, told Medscape Medical News. “At the same time, millions of patients are using Reddit every day and sharing very detailed accounts of their experiences with these medications.”
To investigate signals that the medical community “might be missing or underappreciating,” Sehgal and colleagues developed an AI-based system to automatically extract and categorize symptoms from Reddit posts at scale.
Science Still Can’t Explain Consciousness…Here’s Why
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REFERENCES
Quantum consciousness • Quantum Mind: Is quantum physics responsib…
When AI became Self Aware • When AI Becomes Self-Aware. Is Machine Con…
Is consciousness God? • Is consciousness God? And where is it loca…
CHAPTERS
0:00 Why does matter become aware?
0:47 What is consciousness (scientific perspective)?
1:52 WHERE is consciousness?(Scientific perspective)?
4:40 Is quantum mechanics at the root of consciousness?
6:45 The reductionist approach
7:17 \
AI turns plain-language prompts into lab-ready recipes for novel materials
Advances in artificial intelligence promise to help chemical engineers discover complex new materials. These materials could be used for reactions such as turning carbon dioxide into fuel, but technical barriers have limited catalysis adoption so far. Researchers at the University of Rochester are now harnessing the benefits of large language models (LLMs) similar to ChatGPT, Claude, or Gemini to empower more researchers to use AI to discover new materials and accelerate experiment workflows.
In a study published in ACS Central Science, a team led by Marc Porosoff, an associate professor in the Department of Chemical and Sustainability Engineering, and Andrew White, visiting associate professor and the cofounder and chief technology officer of Edison Scientific, describes an AI based–method they developed that allows users to input natural language prompts about the materials they want to create and suggest optimal procedures for experiments to produce them. As the users run the experiments, they input the results back into the AI model and continue iterating until they reach their goal.
“We’re able to leverage the pre-trained knowledge of large language models and well-established statistical methods for materials discovery to help us as researchers navigate large experimental design spaces more efficiently,” says Porosoff.
AI and the mysteries of reality
Does AI have the potential to uncover the mysteries of reality, or does it lack the capacity for genuine discovery?
With the 2024 Nobel Prizes for physics and chemistry both awarded for AI-related science, claims that AI will soon make novel scientific breakthroughs on its own are growing louder.
Start-ups are already attempting to create “The AI Scientist,” and researchers at Imperial College argue AI will “usher in a new age of discovery to rival the golden age of the scientific method.” But critics argue the scientific capability of AI remains unknown.
Join computer scientist Roman Yampolskiy, philosopher Steve Fuller, and co-curator of “AI: More than Human” Suzanne Livingston to debate what AI can and can’t do for science.
Tap here to watch now.
The 2024 Nobel Prizes for physics and chemistry were both won for AI-related science, leading some to claim that AI will soon be making novel scientific discoveries on its own. Start-ups are already attempting to create “The AI Scientist,” which will one day “fully automate scientific discovery.” And researchers at Imperial College argue AI will.