Lifeboat Foundation

Cardiovascular Aging & Targeted Senolytic Bio-Therapies — Prof. Dr. Tohru Minamino, MD, PhD, Juntendo University, Japan

Dr. Tohru Minamino is Professor and Chairman of the Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine (https://juntendo-cvbm.com/en/about.html). He also serves as Director of the Cardiovascular Medicine, Juntendo University Hospital. He received his MD from the Chiba University Graduate School of Medicine in 1989 and his PhD from Faculty of Medicine, the University of Tokyo in 1997.

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A new biologically inspired battery membrane has enabled a battery with five times the capacity of the industry-standard lithium ion design to run for the thousand-plus cycles needed to power an electric car.

A network of aramid nanofibers, recycled from Kevlar, can enable lithium-sulfur batteries to overcome their Achilles heel of cycle life—the number of times it can be charged and discharged—a University of Michigan team has shown.

“There are a number of reports claiming several hundred cycles for lithium-sulfur batteries, but it is achieved at the expense of other parameters—capacity, charging rate, resilience and safety. The challenge nowadays is to make a battery that increases the cycling rate from the former 10 cycles to hundreds of cycles and satisfies multiple other requirements including cost,” said Nicholas Kotov, the Irving Langmuir Distinguished University Professor of Chemical Sciences and Engineering, who led the research.

“Data science is also absolutely key to our research at the Quadram Institute into the gut microbiome and its influence on human health, all of which is mediated by the complex interactions of micro-organisms, the food we eat, and the environment of the gastro-intestinal tract itself.”

E[datascientist] leverages AI and network science in order to surface scientific connections and explore multi-causal relationships, for example to better understand the microbiome. The platform also improves the digitisation, and reduces the siloisation, of legacy scientific R&D systems, which can be used in tandem with datasets from publicly available databases, all in a standardised format. In this way e[datascientist] supports the entire R&D workflow, accelerating the generation of novel insights and ultimately reducing time to market.

Eagle Genomics plans to continue to be engaged in discussions with a range of other organisations to ensure that its platform continues to become a burgeoning global life sciences knowledge discovery hub.

Is artificial superintelligence (ASI) imminent? Adam Ford will assess the evidence and ethical importance of artificial intelligence; its opportunities and risks. Drawing on the history of progress in AI and how today it surpasses peak human capability in some domains, he will present forecasts about further progress.

“Progress in AI will likely be explosive; even more significant than both the agricultural and industrial revolutions” — Adam will explore the notion of intelligence and what aspects are missing in AI now and how ‘understanding’ arises in biological intelligence and how it could be realised in AI over the next decade or two. He will conclude with takes on ideal AI outcomes and some recommendations for increasing the likelihood of achieving them.

BIO: Adam Ford (Masters of IT at RMIT) is an IEET Affiliate Scholar, a futurologist and works as a data/information architect, a data analyst and data engineer. He co-organised a variety of conferences in Australia, USA and China. Adam also convenes the global effort of ‘Future Day’ seeking to ritualize focus on the future to a specific day. He is a grass roots journalist, having interviewed many experts on the future, and is currently working on a documentary project focusing on preparing for the future of artificial intelligence.

Supernovae and black holes, although they surprise scientists, are gradually being studied and recorded. Scientists are much more concerned with strange places in the Universe, which are difficult to explain by the laws of physics and nature we know. The Bootes Void is one such place. It is not considered to be emptiness by chance – there is absolutely nothing in it. Astronomers for a long time could not believe their own eyes, because in a colossal area of 300 million light years there was not a single galaxy or star. Solid blackness extends over unimaginable distances. Like anomalien.com on Facebook…

CAMBRIDGE, Mass.—Massachusetts Institute of Technology researchers have reported a potentially significant advance with the development of microdrones, equipped with wings powered by artificial muscles in the form of elastomer-based actuators.

The development, claims MIT, could pave the way for futuristic applications, for example, swarms of the insect-sized robots that pollinate fields of crops or search for survivors buried in collapsed buildings.

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Amplifying the longevity biotech space with exciting opportunities and brand-new starts. It’s all about connections!

It’s a magnet-less motor, but how does that work, why is it significant, and a bit old school? We take a deep dive into the motor powering the BMW iX M60.

Sixty-nine percent of global enterprises have already adopted or plan to adopt quantum computing in the near term, according to a new survey of enterprise leaders commissioned by Zapata Computing. The findings suggest that quantum computing is quickly moving from the fringes and becoming a priority for enterprise digital transformation, as 74% of enterprise leaders surveyed agreed that those who fail to adopt quantum computing will fall behind.

Broken down further, 29% of enterprises worldwide are now early adopters of quantum technology, while another 40% plan to follow in their footsteps in the near future. Adoption thus far is highest in the transportation sector, where 63% of respondents reported being in the early stages of quantum adoption. This may be a reaction to the ongoing supply chain crisis, which quantum could help relieve through its potential to solve complex optimization problems common in shipping and logistics.

Among early adopters, 12% expect to achieve a competitive advantage with the technology within one year, while another 41% expect an advantage within two years. The findings suggest confidence among enterprise leaders that quantum computing is no longer a distant reality, but a near-term opportunity. Machine learning in particular was cited as the top near-term use case for quantum computing.