I don’t buy the Jeanne Calment story.
How can we live longer and be healthier? These startups are trying to extend our lives.
✱ Download the Dizraptor app to invest in technologies of the future https://dizraptor.onelink.me/1kIK/samumed.
Continue reading “TOP 5 Longevity Startups. Who Will Make Us Immortal?” »
Multivariable calculus, differential equations, linear algebra—topics that many MIT students can ace without breaking a sweat—have consistently stumped machine learning models. The best models have only been able to answer elementary or high school-level math questions, and they don’t always find the correct solutions.
Now, a multidisciplinary team of researchers from MIT and elsewhere, led by Iddo Drori, a lecturer in the MIT Department of Electrical Engineering and Computer Science (EECS), has used a neural network model to solve university-level math problems in a few seconds at a human level.
The model also automatically explains solutions and rapidly generates new problems in university math subjects. When the researchers showed these machine-generated questions to university students, the students were unable to tell whether the questions were generated by an algorithm or a human.
Scientists and engineers are constantly developing new materials with unique properties that can be used for 3D printing, but figuring out how to print with these materials can be a complex, costly conundrum.
Often, an expert operator must use manual trial-and-error—possibly making thousands of prints—to determine ideal parameters that consistently print a new material effectively. These parameters include printing speed and how much material the printer deposits.
Within minutes of the final heartbeat, a cascade of biochemical events triggered by a lack of blood flow, oxygen, and nutrients begins to destroy a body’s cells and organs. But a team of Yale scientists has found that massive and permanent cellular failure doesn’t have to happen so quickly.
The researchers stressed that additional studies are necessary to understand the apparently restored motor functions in the animals, and that rigorous ethical review from other scientists and bioethicists is required.
The experimental protocols for the latest study were approved by Yale’s Institutional Animal Care and Use Committee and guided by an external advisory and ethics committee.
Continue reading “Yale-developed technology restores cell, organ function in pigs after death” »
Unlike existing treatments that focus on rehabilitation or reducing the risk of an additional stroke, the experimental drug targets the “stickiness” that can prevent injured brain tissue from functioning as it should.
Researchers who previously revived some brain cells in dead pigs succeeded in repeating the process in more organs.
Cold Fusion is possible by replacing Hydrogen Electrons with Muons.
- Takes 5GeV to create a Muon, they only live for 2.2 microseconds.
- Muons provide a catalyst for 150 fusion events, before sticking to Helium Atom.
- Net fusion output is 2.7GeV per 5GeV Muon.
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Swiss researchers have done the (theoretically) impossible, creating not one but two silicon-based solar cells with efficiencies greater than 30% — breaking a world record and potentially illuminating the path to a future of cheaper clean energy.
The status quo: Solar cells absorb light and convert it into electricity. They’re the basis of most solar power tech, and about 95% of them are made from silicon because it’s abundant, long-lasting, and relatively cheap.
Most of the silicon solar cells sold today are about 22% efficient, meaning they convert 22% of the solar energy that hits them into electricity. We don’t have too much room for improvement with silicon solar cells, either, as they have a theoretical efficiency limit of about 29%.
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Imagine knowing the future. Being able to predict what’s going to happen next. It feels that this concept is merely a dream, but in reality, this dream is underway. Modeling and simulation, data analytics, AI and machine learning, distributed systems, social dynamics and human behavior simulation are fast becoming the go-to tools, and their qualities could offer significant advantages for the battlespace of tomorrow.
According to army-technology.com, London-based technology provider Improbable has been working closely with the UK Ministry of Defense (MoD) since 2018 to explore the utility of synthetic environments (SEs) for tactical training and operational and strategic planning. At the core of this work is Skyral, a platform that supports an ecosystem of industry and academia enabling the fast construction of new SEs for almost any scenario using digital entities, algorithms, AI, historic and real-time data.
This may become more common as the number of rockets sent to space increases, an expert said.
