Lifeboat Foundation

Researchers have developed a novel method using facet-selective, ultrafine cocatalysts to efficiently split water to create hydrogen – a clean source of fuel. Scientists are urgently searching for clean fuel sources – such as hydrogen – to move towards carbon neutrality. A breakthrough for improving the efficiency of the photocatalytic reaction that splits water into hydrogen has been made by a team of researchers from Tohoku University, Tokyo University of Science and Mitsubishi Materials Corporation.

“Water-splitting photocatalysts can produce hydrogen (H2) from only sunlight and water,” explains Professor Yuichi Negishi, the lead researcher of this project (Tohoku University), “However, the process hasn’t been optimized sufficiently for practical applications. If we can improve the activity, hydrogen can be harnessed for the realization of a next-generation energy society.”

The research team established a novel method that uses ultrafine rhodium (Rh)-chromium (Cr) mixed-oxide (Rh2-xCrxO3) cocatalysts (the actual reaction site and a key component to stop H2 reforming with oxygen to make water again) with a particle size of about 1 nm. Then, they are loaded crystal facet-selectively onto a photocatalyst (uses sunlight and water to speed up reactions). Previous studies have not been able to accomplish these two feats in a single reaction: a tiny cocatalyst that can also be placed on specific regions of the photocatalyst.

Reuters reports an updated hardware strategy to run ChatGPT and OpenAI’s other projects involves using AMD chips via Microsoft Azure in addition to Nvidia.

Daniel C. Dennett is one of the most influential philosophers of our time, perhaps best known in cognitive science for his multiple drafts (or “fame in the brain”) model of human consciousness, and to the secular community for his 2006 book Breaking the Spell. Author and co-author of two-dozen books, he’s the Austin B. Fletcher Professor of Philosophy, and Co-Director of the Center for Cognitive Studies at Tufts University, where he taught our very own Point of Inquiry host Lindsay Beyerstein.

Beyerstein and Dennett catch up to discuss Dennett’s newest book, From Bacteria to Bach and Back: The Evolution of Minds. It’s a fresh look at Dennett’s earlier work on the subject of consciousness, taken in new directions as he seeks a “bottom-up view of creation.” Join Dennett and Beyerstein as they discuss the how’s and why’s of consciousness, not just from an evolutionary and neurological standpoint, but also through the lenses of computer science and human culture.

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New research reveals insights into the neural signals underlying the internal emotional states of anger and arousal.

BEIJING, Oct 29 — A Chinese aerospace company has completed a successful test flight of a prototype for a supersonic commercial transport plane that aims to travel at Mach 4, which is twice as fast as the retired Concorde.

Beijing-based Space Transportation, also known as Lingkong Tianxing Technology, announced on Sunday that its Yunxing prototype had flown successfully the day before.

In a report by South China Morning Post, the company said it plans to conduct an additional assessment of its engine technology in November.

Solar cells could be printed out like newspapers after Australia’s leading science organisation opened a $6.8 million facility dedicated to flexible solar technology.

The CSIRO launched its state-of-the-art Printed Photovoltaic Facility in south-east Melbourne on Wednesday, following more than 15 years of research into the renewable energy technology.

Researchers said printed, flexible photovoltaic cells could not only lower the cost of solar energy but could be used to deliver power in challenging areas such as space exploration, defence and disaster recovery.

This level of precision could be a game-changer for therapies that require gene expression in one specific tissue, without impacting others.

By providing more control over where and when genes are activated, these AI-designed CREs could potentially be used in a variety of therapeutic applications, from treating genetic diseases to optimizing tissue regeneration.

As this AI-powered approach to designing CREs matures, the possibilities are vast. Beyond basic research, these synthetic DNA switches could be employed in biomanufacturing or to develop advanced treatments for a range of conditions, offering more effective ways to manipulate genes with unprecedented precision.

Caltech scientists have introduced a revolutionary machine-learning-driven technique for accurately measuring the mass of individual particles using advanced nanoscale devices.

This method could dramatically enhance our understanding of proteomes by allowing for the mass measurement of proteins in their native forms, thus offering new insights into biological processes and disease mechanisms.

Caltech scientists have developed a machine-learning-powered method that enables precise measurement of individual particles and molecules using advanced nanoscale devices. This breakthrough could lead to the use of various devices for mass measurement, which is key to identifying proteins. It also holds the potential to map the complete proteome—the full set of proteins in an organism.

Dr. Sanjeev Namjoshi, a machine learning engineer who recently submitted a book on Active Inference to MIT Press, discusses the theoretical foundations and practical applications of Active Inference, the Free Energy Principle (FEP), and Bayesian mechanics. He explains how these frameworks describe how biological and artificial systems maintain stability by minimizing uncertainty about their environment.

Namjoshi traces the evolution of these fields from early 2000s neuroscience research to current developments, highlighting how Active Inference provides a unified framework for perception and action through variational free energy minimization. He contrasts this with traditional machine learning approaches, emphasizing Active Inference’s natural capacity for exploration and curiosity through epistemic value.

Continue reading “The Hidden Math Behind All Living Systems” »