Lifeboat Foundation: Safeguarding Humanity
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“In particular, the wind turbine sector uses very large quantities of a rare earth magnet that’s an alloy of neodymium, iron and boron (NdFeB). These NdFeB magnets are critical components used in PMSGs (Permanent Magnet Synchronous Generator) in larger onshore and offshore wind turbines”.

Extracting the rare earth magnets from end-of-life wind turbines and enabling their use in new wind turbines, both onshore and offshore

Named Re-Rewind, the partnership, partly funded by Innovate UK, aims to establish the UK’s first circular supply chain for the rare earth magnets used in wind turbines.

“From high-quality construction steel, copper and other metals to a range of rare earth elements (such as praseodymium and dysprosium), modern wind turbines contain a wealth of materials which, if they cannot be sourced from recycled channels, must be mined, leading to increased environmental impacts and resource scarcity”, the newly created partnership states.

Continue reading “Extract Rare Earth Magnets from Retired Wind Turbines” | >

The API-AI nexus isn’t just for tech enthusiasts; its influence has widespread real-world implications. Consider the healthcare sector, where APIs can allow diagnostic AI algorithms to access patient medical records while adhering to privacy regulations. In the financial sector, advanced APIs can connect risk-assessment AIs to real-time market data. In education, APIs can provide the data backbone for AI algorithms designed to create personalized, adaptive learning paths.

However, this fusion of AI and APIs also raises critical questions about data privacy, ethical use and governance. As we continue to knit together more aspects of our digital world, these concerns will need to be addressed to foster a harmonious and responsible AI-API ecosystem.

We stand at the crossroads of a monumental technological paradigm shift. As AI continues to advance, APIs are evolving in parallel to unlock and amplify this potential. If you’re in the realm of digital products, the message is clear: The future is not just automated; it’s API-fied. Whether you’re a developer, a business leader or an end user, this new age promises unprecedented levels of interaction, personalization and efficiency—but it’s upon us to navigate it responsibly.

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38 Terabytes of data accidentally leaked.

Article from PC Mag.

A misconfigured link accidentally leaked access to 38TB of Microsoft data, opening up the ability to inject malicious code into its AI models.

The finding comes from cloud security provider Wiz, which recently scanned the internet for exposed storage accounts. It found a software repository on Microsoft-owned GitHub dedicated to supplying open-source code and AI models for image recognition.

Continue reading “Microsoft AI Employee Accidentally Leaks 38TB of Data” | >

More noninvasive cancer treatments are being made:

A research group from Japan Advanced Institute of Science and Technology (JAIST) developed light-activatable, liquid metal (LM) nanoparticles for cancer diagnosis and treatment via photoimmunotherapy. The LM nanoparticles can target and destroy cancer cells and can be fluorescently tagged to function as reporters to identify and eliminate tumors in vivo.

Gallium (Ga)-based LM nanoparticles are promising nanoscale materials for biomedical applications due to their physicochemical properties, including flexibility, easy surface modification, efficient photothermal conversion, and high biocompatibility.

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Synopsys is looking to add generative AI to its EDA tools to boost chip design productivity.

The company already uses a range of AI techniques in its tools from deep neural networks (DNNs) to recursive neural networks (RNNs). These are incorporated into the DSO.ai, VSI.ai and TSO.ai tools that have been used for well over 100 chip tapeouts.

Now the company is looking at the transformer network technologies used in generative AI (Gen-AI) to further enhance the tools says founder and retiring CEO Aart de Geus.

“We intend to harness Gen-AI capabilities into Synopsys.ai. We see this delivering further advances in design assistance, design exploration, and design generation,” said de Geus.

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Researchers have designed a molecule that kills blood cancer cells by tricking them into self-destructing, according to results of a new study. Experts say the molecule represents a new class of compounds that could have broad potential as cancer treatments.

Like a cyanide pill hidden in the teeth of a James Bond villain, human cells have a quick means of self-destruction if necessary. This natural safeguard is a way for the body to rid itself of old, damaged, or infected cells—including cancer cells.

But in many types of cancer, those means of self-destruction are subverted or blocked off. In some diffuse large B-cell lymphoma (DLBCL) tumors, for example, genes that orchestrate cell death are shut off by a protein called BCL6.

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What do pacemakers, prosthetic limbs, Iron Man and flu vaccines all have in common? They are examples of an old idea that’s been gaining in significance in the last several decades: transhumanism. The word denotes a set of ideas relating to the increasing integration of humans with their technologies. At the heart of the transhuman conversation, however, lies the oldest question of all: What does it mean to be human?

When talking about transhumanism, it’s easy to get lost because the definition is imprecise. “Transhumanism” can refer to the Transhumanist (with a capital T) movement, which actively pursues a technologically enhanced future, or an amorphous body of ideas and technologies that are closing the bio-techno gap, such as a robotic exoskeleton that enhances the natural strength of the wearer.

At Arizona State University, a diverse set of researchers has been critically examining transhumanism since 2004.

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