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Scientists Say Human Brain Simulation Is Now Possible

Life of leonard susskind;leonard susskind physics.

*Description:*
Can scientists really simulate a full human brain now? In this video, we explore the latest study claiming that supercomputers may soon be powerful enough to simulate the human brain. We break down how this new method works, why previous brain simulation projects failed, what makes this new research different, and the big ethical questions that come with it. Is this the future of neuroscience and artificial intelligence, or are we still far from creating a true digital human mind? Watch till the end to understand the science in simple words.

*Tags:*
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Revolutionary Imaging Technique Unlocks Secrets of Matter at Extreme Speeds

A novel imaging method captures ultrafast events with unprecedented detail by combining laser encoding and AI reconstruction. Researchers have introduced a new imaging method that reveals far more detail about ultrafast events in the microscopic world than earlier approaches. The technique allows

LOL…not my title! Old picture! But fun interview

For this episode, I’m joined by Rick Tumlinson, co-founder of the Space Frontier Foundation and one of the most influential figures in the commercial space industry.

In this episode, we slice the conversation into four categories: the social history of the space movement and how we got here; the business of space and the astropolitics shaping who controls the final frontier; the genetics and ethics of humanity becoming a multi-planetary species; and the deeper philosophy of why leaving Earth isn’t just raw and blind ambition but something closer to destiny (for some people).

Timestamps:
0:00 Social History.
30:19 Business and Astropolitics.
45:20 Genetics and Ethics.
56:02 Philosophical.

Connect with Rick:
LinkedIn: / ricktumlinson.
Website: https://www.ricktumlinson.com.
Book: https://www.amazon.com/Why-Space-Purp?tag=lifeboatfound-20… Info: Spotify: https://open.spotify.com/show/1ILhje5… Apple Podcasts: https://apple.co/3qXL37W Connect: Website: https://ayushprakash.com LinkedIn: / prakash-ayush Instagram: instagram.com/ayushprakashofficial Books: AI for Gen Z: https://www.amazon.com/dp/0981182135?tag=lifeboatfound-20

Podcast Info:
Spotify: https://open.spotify.com/show/1ILhje5…
Apple Podcasts: https://apple.co/3qXL37W

Connect:

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Advancements and challenges in inverse lithography technology: a review of artificial intelligence-based approaches

Inverse lithography takes a radically different approach. Instead of starting with the desired circuit pattern and tweaking it to compensate for optical distortions, ILT works backwards. It asks: “What mask pattern would produce the exact shape we want after the light does its distorting work?” It’s like designing a funhouse mirror that makes your reflection look perfectly normal.

What’s particularly elegant are the “model-driven deep learning” approaches, which combine the physics of how light actually behaves with AI’s pattern-recognition abilities. Rather than making the AI learn optics from scratch, these hybrid methods embed the known laws of physics into the learning process, creating solutions that are both fast and physically accurate.

Yang, Y., Liu, K., Gao, Y. et al. Light Sci Appl 14, 250 (2025). https://doi.org/10.1038/s41377-025-01923-w.

Download citation.

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.

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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.

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