Lifeboat Foundation: Safeguarding Humanity
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Musk, Zuckerberg, Altman, Gates, and Huang were in attendance.

US lawmakers met with the who’s who of the tech industry on Wednesday to discuss regulations for artificial intelligence and potentially work towards a law that protects US citizens from the dangers of the technology.

In attendance were Tesla CEO Elon Musk, Meta CEO Mark Zuckerberg, Alphabet CEO Sundar Pichai, NVIDIA CEO Jensen Huang, Microsoft CEO Satya Nadella, IBM CEO Arvind Krishna, former Microsoft CEO Bill Gates, and AFL-CIO labor federation President Liz Shuler, reported Reuters.

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Summary: Researchers have unearthed how human brains inherently perform calculations akin to high-powered computers through Bayesian inference, enabling precise, swift environmental interpretation. This statistical method melds prior knowledge and new evidence, permitting us to quickly and accurately discern our surroundings.

This study showcases how our brain’s visual system structure is innately designed to execute Bayesian inference on the sensory data it gathers. Such revelations promise breakthroughs in areas spanning from AI’s machine learning to novel therapeutic strategies in clinical neurology.

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Large language model (LLM) AI chatbots may be able to outperform the average human at a creative thinking task where the participant devises alternative uses for everyday objects (an example of divergent thinking), suggests a study published in Scientific Reports. However, the human participants with the highest scores still outperformed the best chatbot responses.

Divergent thinking is a type of thought process commonly associated with that involves generating many different ideas or solutions for a given task. It is commonly assessed with the Alternate Uses Task (AUT), in which participants are asked to come up with as many alternative uses for an everyday object as possible within a short time period. The responses are scored for four different categories: fluency, flexibility, originality, and elaboration.

Mika Koivisto and Simone Grassini compared 256 ’ responses with those of three AI chatbots’ (ChatGPT3, ChatGPT4, and Copy. Ai) to AUTs for four objects—a rope, a box, a pencil, and a candle. The authors assessed the originality of the responses by rating them on semantic distance (how closely related the response was to the object’s original use) and creativity.

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Quantum computing has the potential to revolutionize the world, allowing massive health and science computation problems to be solved exponentially faster than by classic computing. But quantum computers have a big drawback—they can only operate in subzero temperatures.

“In order to make quantum computers work, we cannot use them at room temperature,” said Ahmed El-Gendy, Ph.D., an associate professor of physics at The University of Texas at El Paso. “That means we will need to cool the computers and cool all the materials, which is very expensive.”

Now, physicists at The University of Texas at El Paso believe they have made a in that regard. Led by El-Gendy, the team has developed a highly magnetic quantum computing material—100 times more magnetic than pure iron—that functions at regular temperature. The material is described in a summer issue of the journal Applied Physics Letters.

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When Isaac Newton inscribed onto parchment his now-famed laws of motion in 1,687, he could have only hoped we’d be discussing them three centuries later.

Writing in Latin, Newton outlined three universal principles describing how the motion of objects is governed in our Universe, which have been translated, transcribed, discussed and debated at length.

But according to a philosopher of language and mathematics, we might have been interpreting Newton’s precise wording of his first law of motion slightly wrong all along.

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Researchers at the University of Stuttgart have demonstrated that a key ingredient for many quantum computation and communication schemes can be performed with an efficiency that exceeds the commonly assumed upper theoretical limit—thereby opening up new perspectives for a wide range of photonic quantum technologies.

Quantum science has not only revolutionized our understanding of nature—it is also inspiring groundbreaking new computing, communication and sensor devices. Exploiting in such “quantum technologies” typically requires a combination of deep insight into the underlying quantum-physical principles, systematic methodological advances, and clever engineering.

And it is precisely this combination that researches in the group of Prof. Stefanie Barz at the University of Stuttgart and the Center for Integrated Quantum Science and Technology (IQST) have delivered in a recent study, in which they have improved the efficiency of an essential building block of many quantum devices beyond a seemingly inherent limit. The work is published in the journal Science Advances.

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I hope this isn’t a duplicate but that’s amazing! I dunno if I shared the latest Google cloud security conference? It’s an hour and they’re using advanced AI and even collaborating with Israel I think.

After 17 medical consultations led to dead ends, a mother turned to ChatGPT for help. Then, AI came up with a diagnosis.

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Researchers have shown that high concentrations of key proteins in human breast milk, especially osteopontin and κ-casein, are associated with a greater abundance of two species of bacteria in the gut of babies: Clostridium butyricum and Parabacteroides distasonis, known to be beneficial for human health and used as probiotics. These results suggest that proteins in breast milk influence the abundance of beneficial gut microbes in infants, playing an important role in early immune and metabolic development

More than 320 million years of mammalian evolution has adapted breast milk to meet all the physiological needs of babies: it contains not only nutrients, but also hormones, antimicrobials, digestive enzymes, and growth factors. Furthermore, many of the proteins in breast milk, for example casein and milk fat globule membrane proteins, aren’t just sources of energy and molecular building blocks, but also directly stimulate immunity, at least under preclinical conditions.

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