STEM

[Cadavre Exquis]

https://www.engadget.com/the-worlds-first-tooth-regrowing-drug-has-been-approved-for-human-trials-174423381.html

The world’s first tooth-regrowing drug has been approved for human trials
If things go as planned, the medicine could be available to consumers by 2030.

Lawrence Bonk · 2024.05.30

Unsplash / Marek Studzinski

I remember being a kid and seeing my grandmother without her dentures for the first time. It was a harrowing experience. Now my dad has dentures so, genetically speaking, I’m several decades out from needing some myself. However, it’s possible that modern medicine will solve the issue of lost teeth by then, thanks to a new drug that's about to enter human trials.

The medicine quite literally regrows teeth and was developed by a team of Japanese researchers, as reported by New Atlas. The research has been led by Katsu Takahashi, head of dentistry and oral surgery at Kitano Hospital. The intravenous drug deactivates the uterine sensitization-associated gene-1 (USAG-1) protein that suppresses tooth growth. Blocking USAG-1 from interacting with other proteins triggers bone growth and, voila, you got yourself some brand-new chompers. Pretty cool, right?

https://x.com/KyotoU_News/status/1381795530725019651

Human trials start in September, but the drug has been highly successful when treating ferrets and mice and did its job with no serious side effects. Of course, the usual caveat applies. Humans are not mice or ferrets, though researchers seem confident that it’ll work on homo sapiens. This is due to a 97 percent similarity in how the USAG-1 protein works when comparing humans to other species.

September’s clinical trial will include adults who are missing at least one molar but there’s a secondary trial coming aimed at children aged two to seven. The kids in the second trial will all be missing at least four teeth due to congenital tooth deficiency. Finally, a third trial will focus on older adults who are missing “one to five permanent teeth due to environmental factors.”

Medical Research Institute Kitano Hospital, OSAKA | "Development of a tooth regrowth drug for congenital edentulism" 97th Academic Lecture

Takahashi and his fellow researchers are so optimistic about this drug that they predict the medicine will be available for everyday consumers by 2030. So in six years we can throw our toothbrushes away and eat candy bars all day and all night without a care in the world (don’t actually do that.)

While this is the first drug that can fully regrow missing teeth, the science behind it builds on top of years of related research. Takahashi, after all, has been working on this since 2005. Recent advancements in the field include regenerative tooth fillings to repair diseased teeth and stem cell technology to regrow the dental tissue of children.

Saludos.

[Cadavre Exquis]

Cut In Ship Pollution Sparked Global Heating Spurt
Posted by BeauHD on Thursday May 30, 2024 @11:30PM from the termination-shock dept.

An anonymous reader quotes a report from The Guardian:

The slashing of pollution from shipping in 2020 led to a big "termination shock" that is estimated have pushed the rate of global heating to double the long-term average, according to research. Until 2020, global shipping used dirty, high-sulphur fuels that produced air pollution. The pollution particles blocked sunlight and helped form more clouds, thereby curbing global heating. But new regulations at the start of 2020 slashed the sulphur content of fuels by more than 80%. The new analysis calculates that the subsequent drop in pollution particles has significantly increased the amount of heat being trapped at the Earth's surface that drives the climate crisis. The researchers said the sharp ending of decades of shipping pollution was an inadvertent geoengineering experiment, revealing new information about its effectiveness and risks.

Dr Tianle Yuan, at the University of Maryland, US, who led the study, said the estimated 0.2 watts per sq meter of additional heat trapped over the oceans after the pollution cut was "a big number, and it happened in one year, so it's a big shock to the system." "We will experience about double the warming rate compared to the long-term average" since 1880 as a result, he said. The heating effect of the pollution cut is expected to last about seven years. The research, published in the journal Communications Earth & Environment, combined satellite observations of sulphur pollution and computer modeling to calculate the impact of the cut. It found the short-term shock was equivalent to 80% of the total extra heating the planet has seen since 2020 from longer-term factors such as rising fossil-fuel emissions.

The scientists used relatively simple climate models to estimate how much this would drive up average global temperatures at the surface of the Earth, finding a rise of about 0.16C over seven years. This is a large rise and the same margin by which 2023 beat the temperature record compared with the previous hottest year. However, other scientists think the temperature impact of the pollution cut will be significantly lower due to feedbacks in the climate system, which are included in the most sophisticated climate models. The results of this type of analysis are expected later in 2024. [...] The new analysis indicates that this type of geoengineering would reduce temperatures, but would also bring serious risks. These include the sharp temperature rise when the pumping of aerosols stopped -- the termination shock -- and also potential changes to global precipitation patterns, which could disrupt the monsoon rains that billions of people depend on.

"We should definitely do research on this, because it's a tool for situations where we really want to cool down the Earth temporarily," like an emergency brake, said Dr Gavin Schmidt, Director of the NASA Goddard Institute for Space Studies. "But this is not going to be a long-term solution, because it doesn't address the root cause of global warming," which is emissions from fossil fuel burning.

Saludos.

[Cadavre Exquis]

Impresionante la keynote de hoy de Jensen Huang en la COMPUTEX 2024 en Taiwan:

NVIDIA | NVIDIA CEO Jensen Huang Keynote at COMPUTEX 2024

Saludos.

[Cadavre Exquis]

Apple's Battery Supplier TDK Says It Made a Big Breakthrough
Posted by BeauHD on Tuesday June 18, 2024 @06:00AM from the what-to-expect dept.

Rocio Fabbro reports via Quartz:

TDK, the largest maker of smartphone batteries in the world, said Monday that it has successfully developed a material that could be used in a new battery with "significantly higher energy density" than its existing cells. Energy density refers to how much energy a battery can store relative to its size or weight. The material will be used in TDK's CeraCharge solid-state battery, which it says has an energy density of 1,000 watt-hours per liter -- approximately 100 times more than its conventional solid-state battery. These batteries use an oxide-based solid electrolyte, in contrast with the liquid electrolyte used in lithium-ion batteries that are widely found in electronic devices, making them "extremely safe." Solid-state batteries are smaller, charge faster, last longer, and have a lower risk of damage from temperature changes. "Smaller size and higher capacitance contribute to smaller device size and longer operating time," the Tokyo-based company said.

The battery is designed to replace coin cell primary batteries, such as those found in wearable devices like wireless headphones, smartwatches, and hearing aids. The new batteries would be rechargeable, in compliance with new European Union battery regulations that are aimed at reducing the environmental impact of batteries. TDK said it's working toward mass production of solid-state batteries, and beefing up the batteries' capacity using multi-layer lamination technology and expanding their operating temperature range.

Saludos.

[Cadavre Exquis]

US Startup To Supply 320 MW Geothermal Energy To Power 350,000 Homes In California
Posted by BeauHD on Friday June 28, 2024 @09:00AM from the next-gen-energy dept.

An anonymous reader quotes a report from Interesting Engineering:

Fervo Energy has announced the signing of two power purchase agreements (PPAs) totaling 320 MW with Southern California Edison (SCE), one of the nation's largest electric utilities. The two PPAs, signed for 15 years, will provide clean, and affordable power for the equivalent of 350,000 homes across Southern California. The geothermal energy from Fervo will help California transition to a cleaner and more reliable power source. According to Fervo Energy, SCE will purchase the power from its 400 MW Cape Station project currently under construction in southwest Utah.

The first 70 MW phase of Fervo Energy's project is expected to be operational by 2026 and the second phase will be operational by 2028, according to a release by the company. Geothermal energy, being a carbon-free and weather-agnostic source, will also prove to be a reliable source for meeting California's power consumption demands. Unlike wind and solar power plants, geothermal energy can be sourced around the clock and on demand to cater to increased energy needs.

Earlier in July 2023, Fervo Energy had claimed to achieve "commercial scale" geothermal energy production from its Project Red demonstration site in northern Nevada. [...] For the demo, Fervo had used a horizontal well pair that extended to 3,250 feet (990 m) and reached a temperature of 375 degrees Fahrenheit (191 degrees Celsius). During the test period, Fervo achieved a flow rate of 63 liters per second, sufficient to generate 3.5 MW of electricity. One megawatt of energy can power approximately 750 homes at a time. Data collected during this pilot was used to improve the design for Fervo's next well pair and double the energy output generated.

Saludos.

[Cadavre Exquis]

Capturing CO2 With Copper, Scientists Generate 'Green Methane'
Posted by BeauHD on Saturday July 06, 2024 @03:00AM from the what-will-they-think-of-next dept.

Longtime Slashdot reader Baron_Yam shares a report from Phys.Org, with the caption: "It's not sequestration, but it is a closed carbon loop and can store energy from renewable sources to be released when they are not collecting energy." From the report:

Carbon in the atmosphere is a major driver of climate change. Now researchers from McGill University have designed a new catalyst for converting carbon dioxide (CO2) into methane -- a cleaner source of energy -- using tiny bits of copper called nanoclusters. While the traditional method of producing methane from fossil fuels introduces more CO2 into the atmosphere, the new process, electrocatalysis, does not. "On sunny days you can use solar power, or when it's a windy day you can use that wind to produce renewable electricity, but as soon as you produce that electricity you need to use it," says Mahdi Salehi, Ph.D. candidate at the Electrocatalysis Lab at McGill University. "But in our case, we can use that renewable but intermittent electricity to store the energy in chemicals like methane."

By using copper nanoclusters, says Salehi, carbon dioxide from the atmosphere can be transformed into methane and once the methane is used, any carbon dioxide released can be captured and "recycled" back into methane. This would create a closed "carbon loop" that does not emit new carbon dioxide into the atmosphere. The research, published recently in the journal Applied Catalysis B: Environment and Energy, was enabled by the Canadian Light Source (CLS) at the University of Saskatchewan (USask). The team plans to continue refining their catalyst to make it more efficient and investigate its large-scale, industrial applications. Their hope is that their findings will open new avenues for producing clean, sustainable energy.

Saludos.

[Cadavre Exquis]

Cutting-Edge Technology Could Massively Reduce the Amount of Energy Used For Air Conditioning
Posted by BeauHD on Tuesday July 16, 2024 @07:20PM from the efficiency-gains dept.

An anonymous reader quotes a report from Wired, written by Chris Baraniuk:

The buses struggling in China's muggy weather gave [Matt Jore, CEO of Montana Technologies] and his colleagues an idea. If they could make dehumidification more efficient somehow, then they could make air conditioning as a whole much more efficient, too. They headed back to the US wondering how to make this happen. [...] "I have here 50-gallon barrels of this stuff. It comes in a special powder," says Jore, referring to the moisture-loving material that coats components inside his firm's novel dehumidifier system, AirJoule. This is the result of years of research and development that followed his team's trip to China. The coating is a type of highly porous material called a metal-organic framework, and the pores are sized so that they fit around water molecules extremely well. It makes for a powerful desiccant, or drying device. "Just one kilogram can take up half or more than half -- in our case 55 percent -- of its own weight in water vapor," says Jore.

The AirJoule system consists of two chambers, each one containing surfaces coated with this special material. They take turns at dehumidifying a flow of air. One chamber is always drying air that is pushed through the system while the other gradually releases the moisture it previously collected. A little heat from the drying chamber gets applied to the moisture-saturated coating in the other, since that helps to encourage the water to drip away for removal. These two cavities swap roles every 10 minutes or so, says Jore. This process doesn't cool the air, but it does make it possible to feed dry air to a more traditional air conditioning device, drastically cutting how much energy that secondary device will use. And Jore claims that AirJoule consumes less than 100 watt-hours per liter of water vapor removed -- potentially cutting the energy required for dehumidification by as much as 90 percent compared to a traditional dehumidifier.

Montana Technologies wants to sell the components for its AirJoule system to established HVAC firms rather than attempt to build its own consumer products and compete with those firms directly -- it calls the approach AirJoule Inside. The firm is also working on a system for the US military, based on the same technology, that can harvest drinkable water from the air. Handy for troops stationed in the desert, one imagines. However, AirJoule is still at the prototype and testing stages. "We're building several of these pilot preproduction units for potential customers and partners," says Jore. "Think rooftops on big-box retailers."

Montana Technologies isn't the only firm using cutting-edge technology to make air conditioning units more efficient. Rival firm Blue Frontier has developed a desiccant-based dehumidifying system using a liquid salt solution, with installations in various U.S. locations, that links to a secondary air-conditioning process and regenerates desiccant during off-peak hours to reduce peak electricity demand.

Then there's Nostromo Energy's IceBrick system, installed in California hotels, which freezes water capsules during off-peak hours and uses the stored coolth during peak times. This system can reduce cooling costs by up to 30 percent and emissions by up to 80 percent, according to Wired.

Saludos.

[Cadavre Exquis]

Startup Makes Butter Using CO2 and Water
Posted by BeauHD on Wednesday July 17, 2024 @03:00AM from the what-will-they-think-of-next dept.

A Californian startup funded by Bill Gates is making rich, fatty "butter" using just carbon dioxide and hydrogen, with other dairy-free alternatives in the works. New Atlas reports:

The San Jose company, Savor, uses a thermochemical process to create its animal-like fat, which is free of the environmental footprint of both the dairy industry and plant-based alternatives. "They started with the fact that all fats are made of varying chains of carbon and hydrogen atoms," Gates wrote in a blog post. "Then they set out to make those same carbon and hydrogen chains -- without involving animals or plants. They ultimately developed a process that involves taking carbon dioxide from the air and hydrogen from water, heating them up, and oxidizing them to trigger the separation of fatty acids and then the formulation of fat."

"The idea of switching to lab-made fats and oils may seem strange at first," Gates wrote. "But their potential to significantly reduce our carbon footprint is immense. By harnessing proven technologies and processes, we get one step closer to achieving our climate goals." Savor's 'butter' is easily produced and scalable, but convincing people to swap out butter and other dairy products for 'experimental' foods will remain a challenge for the foreseeable future. Gates is hoping, however, that his support will do more than start a conversation. "The process doesn't release any greenhouse gases, and it uses no farmland and less than a thousandth of the water that traditional agriculture does," he added. "And most important, it tastes really good -- like the real thing, because chemically it is."

The research has been published in the journal Nature Sustainability.

Saludos.

[Cadavre Exquis]

https://elpais.com/expres/2024-07-18/una-inyeccion-mensual-alarga-la-vida-y-mejora-la-salud-de-los-ratones.html

Saludos.

[Cadavre Exquis]

Google's New Weather Prediction System Combines AI With Traditional Physics
Posted by BeauHD on Monday July 22, 2024 @11:30PM from the two-is-better-than-one dept.

An anonymous reader quotes a report from MIT Technology Review:

Researchers from Google have built a new weather prediction model that combines machine learning with more conventional techniques, potentially yielding accurate forecasts at a fraction of the current cost. The model, called NeuralGCM and described in a paper in Nature today, bridges a divide that's grown among weather prediction experts in the last several years. While new machine-learning techniques that predict weather by learning from years of past data are extremely fast and efficient, they can struggle with long-term predictions. General circulation models, on the other hand, which have dominated weather prediction for the last 50 years, use complex equations to model changes in the atmosphere and give accurate projections, but they are exceedingly slow and expensive to run. Experts are divided on which tool will be most reliable going forward. But the new model from Google instead attempts to combine the two.

"It's not sort of physics versus AI. It's really physics and AI together," says Stephan Hoyer, an AI researcher at Google Research and a coauthor of the paper. The system still uses a conventional model to work out some of the large atmospheric changes required to make a prediction. It then incorporates AI, which tends to do well where those larger models fall flat -- typically for predictions on scales smaller than about 25 kilometers, like those dealing with cloud formations or regional microclimates (San Francisco's fog, for example). "That's where we inject AI very selectively to correct the errors that accumulate on small scales," Hoyer says. The result, the researchers say, is a model that can produce quality predictions faster with less computational power. They say NeuralGCM is as accurate as one-to-15-day forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF), which is a partner organization in the research.

But the real promise of technology like this is not in better weather predictions for your local area, says Aaron Hill, an assistant professor at the School of Meteorology at the University of Oklahoma, who was not involved in this research. Instead, it's in larger-scale climate events that are prohibitively expensive to model with conventional techniques. The possibilities could range from predicting tropical cyclones with more notice to modeling more complex climate changes that are years away. "It's so computationally intensive to simulate the globe over and over again or for long periods of time," Hill says. That means the best climate models are hamstrung by the high costs of computing power, which presents a real bottleneck to research."

The researchers said NeuralGCM will be open source and capable of running on less than 5,500 lines of code, compared with the nearly 377,000 lines required for the model from the National Oceanic and Atmospheric Administration (NOAA).

Saludos.

[pollo]

Google's New Weather Prediction System Combines AI With Traditional Physics
Posted by BeauHD on Monday July 22, 2024 @11:30PM from the two-is-better-than-one dept.

An anonymous reader quotes a report from MIT Technology Review:

Researchers from Google have built a new weather prediction model that combines machine learning with more conventional techniques, potentially yielding accurate forecasts at a fraction of the current cost. The model, called NeuralGCM and described in a paper in Nature today, bridges a divide that's grown among weather prediction experts in the last several years. While new machine-learning techniques that predict weather by learning from years of past data are extremely fast and efficient, they can struggle with long-term predictions. General circulation models, on the other hand, which have dominated weather prediction for the last 50 years, use complex equations to model changes in the atmosphere and give accurate projections, but they are exceedingly slow and expensive to run. Experts are divided on which tool will be most reliable going forward. But the new model from Google instead attempts to combine the two.

"It's not sort of physics versus AI. It's really physics and AI together," says Stephan Hoyer, an AI researcher at Google Research and a coauthor of the paper. The system still uses a conventional model to work out some of the large atmospheric changes required to make a prediction. It then incorporates AI, which tends to do well where those larger models fall flat -- typically for predictions on scales smaller than about 25 kilometers, like those dealing with cloud formations or regional microclimates (San Francisco's fog, for example). "That's where we inject AI very selectively to correct the errors that accumulate on small scales," Hoyer says. The result, the researchers say, is a model that can produce quality predictions faster with less computational power. They say NeuralGCM is as accurate as one-to-15-day forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF), which is a partner organization in the research.

But the real promise of technology like this is not in better weather predictions for your local area, says Aaron Hill, an assistant professor at the School of Meteorology at the University of Oklahoma, who was not involved in this research. Instead, it's in larger-scale climate events that are prohibitively expensive to model with conventional techniques. The possibilities could range from predicting tropical cyclones with more notice to modeling more complex climate changes that are years away. "It's so computationally intensive to simulate the globe over and over again or for long periods of time," Hill says. That means the best climate models are hamstrung by the high costs of computing power, which presents a real bottleneck to research."

The researchers said NeuralGCM will be open source and capable of running on less than 5,500 lines of code, compared with the nearly 377,000 lines required for the model from the National Oceanic and Atmospheric Administration (NOAA).

Saludos.

Lo de las líneas de código del final es marketing puro, porque no tiene nada que ver el número de líneas con la potencia requerida ni es una métrica útil para absolutamente nada (se puede hacer un algoritmo eficaz y computacionalmente costoso en 10 líneas o menos). La complejidad de cálculo en este caso se desplazará al modelo en cuestión, que será un archivo de x GB de tamaño (y que requiere haberlo entrenado previamente con toneladas de datos a lo largo de muchos meses y gastando mucha potencia computacional y energía) y el peso lo cargará la tarjeta aceleradora de turno.

[Cadavre Exquis]

Google DeepMind's AI Systems Can Now Solve Complex Math Problems
Posted by msmash on Thursday July 25, 2024 @12:54PM from the pushing-the-limits dept.

Google DeepMind has announced that its AI systems, AlphaProof and AlphaGeometry 2, have achieved silver medal performance at the 2024 International Mathematical Olympiad (IMO), solving four out of six problems and scoring 28 out of 42 possible points in a significant breakthrough for AI in mathematical reasoning. This marks the first time an AI system has reached such a high level of performance in this prestigious competition, which has long been considered a benchmark for advanced mathematical reasoning capabilities in machine learning.

AlphaProof, a system that combines a pre-trained language model with reinforcement learning techniques, demonstrated its new capability by solving two algebra problems and one number theory problem, including the competition's most challenging question. Meanwhile, AlphaGeometry 2 successfully tackled a complex geometry problem, Google wrote in a blog post. The systems' solutions were formally verified and scored by prominent mathematicians, including Fields Medal winner Prof Sir Timothy Gowers and IMO Problem Selection Committee Chair Dr Joseph Myers, lending credibility to the achievement.

The development of these AI systems represents a significant step forward in bridging the gap between natural language processing and formal mathematical reasoning, the company argued. By fine-tuning a version of Google's Gemini model to translate natural language problem statements into formal mathematical language, the researchers created a vast library of formalized problems, enabling AlphaProof to train on millions of mathematical challenges across various difficulty levels and topic areas. While the systems' performance is impressive, challenges remain, particularly in the field of combinatorics where both AI models were unable to solve the given problems. Researchers at Google DeepMind continue to investigate these limitations, the company said, aiming to further improve the systems' capabilities across all areas of mathematics.

Saludos.