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Silicon Valley Startup Claims it Can Turn Mercury Into Gold

San Francisco, California-based Marathon Fusion is proposing a process that uses nuclear fusion to turn mercury into gold — something that has been sought by people for thousands of years.

“Unlike previous attempts, our method is massively scalable, pragmatically achievable, and economically irresistible,” Marathon Fusion said on its website.

Epochs of the Universe — The Cosmic Clock & Civilization

Explore the entire life story of the cosmos, from quantum flickers at the Big Bang to the distant eras of black holes and dark energy, and discover what kinds of civilizations might endure across these unimaginable spans of time.

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Credits:
Spaceport Innovations — Designing the Next Generation of Launch Sites.
July 31, 2025; Episode 744
Written, Produced & Narrated by: Isaac Arthur.
Epochs of the Universe — The Cosmic Clock & Civilization (July 31, 2025)
Recorded: June 2025
Written by: Isaac Arthur.
Editor: Lukas Konecny.
Select imagery/video supplied by Getty Images.
Music Courtesy of Epidemic Sound http://epidemicsound.com/creator.

Chapters.
0:00 Intro.
2:26 The T-Scale — Time, Terrifyingly Large and Small.
8:25 The Grand Unification Epoch.
10:30 The Inflationary Epoch.
15:40 The Electroweak Epoch.
17:41 The Quark Epoch.
18:19 The Hadron Epoch.
19:28 The Early Universe.
22:52 The Stelliferous Era (T10–T14)
22:24 Into the Darkness (T15-T67)
31:56 The Sojourn.
32:54 The Black Hole Era.
36:55 The Dark Era.
40:29 Final Fates: Cycles, Cracks, and Cosmic Cliffhangers.

Synthetic data boosts gait analysis: AI trained on simulations rivals existing models

Gait assessment is critical for diagnosing and monitoring neurological disorders, yet current clinical standards remain largely subjective and qualitative. Recent advances in AI have enabled more quantitative and accessible gait analysis using widely available sensors such as smartphone cameras.

However, most existing AI models are designed for specific patient populations and sensor configurations, primarily due to the scarcity of diverse clinical datasets—a constraint often driven by privacy concerns. As a result, these models tend to underperform when applied to populations or settings not well represented in the , limiting their broader clinical applicability.

In a study published in Nature Communications, researchers from IBM Research, the Cleveland Clinic, and the University of Tsukuba propose a novel framework to overcome this limitation. Their approach involves generating synthetic gait data using generative AI trained on physics-based musculoskeletal simulations.

State of the art in fault-tolerant quantum computing

This report reviews the construction and potential use of FTQC (Fault Tolerant Quantum Computing) computers to reliably perform complex calculations by overcoming the problems posed by the errors and noise inherent in quantum systems.

After recalling the reality of the quantum advantage and its needs, the report describes the use of error-correcting codes in the design of FTQCi computers. It then reports on the progress of the five most advanced physical technologies in the world for building such computers and the obstacles they will have to face in order to achieve the transition to scale necessary for the execution of useful applications. Finally, it discusses the technical and economic environment for quantum computers, how their performance can be compared and evaluated, and their future coexistence with other computing technologies (3D silicon, AI) or with supercomputers.

Stopping DNA damage in T cells during PARP inhibitor cancer treatment enhances antitumor effectiveness

The cancer drugs called PARP inhibitors have a puzzling reputation: even though they are treatment mainstays for multiple forms of cancer, they can damage cancer-killing T cells and disrupt the potential for meaningful therapy. New research from medical scientists in China is revealing ways to sidestep this obstacle by preventing PARP-induced collateral damage to T cells.

A multi-disciplinary team of researchers in Wuhan, working at several collaborating institutions, developed methods to prevent damage and showed that doing so increases the drugs’ efficacy against ovarian tumors and may help expand PARP inhibitors’ overall use. The PARP inhibitor drug family consists of slightly more than half a dozen medications, and the same problems appear consistent in all of them, say investigators participating in the study at Tongji Hospital, Tongji Medical College and Huazhong University of Science and Technology.

Writing in the journal Science Translational Medicine, the Wuhan-based researchers explain that PARP inhibitors have become standard treatments for , the most lethal gynecologic cancer. However, PARP inhibitors often can’t eliminate tumors on their own. Doctors have attempted to combine PARP medication with immunotherapies, such as , but results have been mixed, creating yet another obstacle in the PARP treatment saga.

AI agent autonomously solves complex cybersecurity challenges using text-based tools

Artificial intelligence agents—AI systems that can work independently toward specific goals without constant human guidance—have demonstrated strong capabilities in software development and web navigation. Their effectiveness in cybersecurity has remained limited, however.

That may soon change, thanks to a research team from NYU Tandon School of Engineering, NYU Abu Dhabi and other universities that developed an AI agent capable of autonomously solving complex cybersecurity challenges.

The system, called EnIGMA, was presented this month at the International Conference on Machine Learning (ICML) 2025 in Vancouver, Canada.

Game developers association decries ‘financial censorship’ amidst payment processor crackdown on NSFW games, calls for ‘greater transparency and fairness in how adult games are moderated’

The IGDA says the problem isn’t the rules themselves, but their “vague” enforcement.

Google DeepMind says its new AI can map the entire planet with unprecedented accuracy

Google DeepMind unveils AlphaEarth Foundations, an AI system that processes satellite data 16x more efficiently to create detailed Earth maps for tracking deforestation, climate change, and environmental shifts.