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π©Έ Artificial Blood That Saves Lives
A groundbreaking artificial blood product called ErythroMer can be stored for years and transfused to any patient β regardless of blood type β directly at the scene of an emergency. Developed in the U.S., this powder-based blood substitute only needs to be mixed with sterile water before use.
ErythroMer is made from hemoglobin extracted from expired donor blood, encapsulated in lipid nanoparticles that mimic red blood cells. This innovation could revolutionize emergency medicine and dramatically improve survival rates in critical situations. β¨
#Biotech #EmergencyMedicine #Innovation #ArtificialBlood
@Science
A groundbreaking artificial blood product called ErythroMer can be stored for years and transfused to any patient β regardless of blood type β directly at the scene of an emergency. Developed in the U.S., this powder-based blood substitute only needs to be mixed with sterile water before use.
ErythroMer is made from hemoglobin extracted from expired donor blood, encapsulated in lipid nanoparticles that mimic red blood cells. This innovation could revolutionize emergency medicine and dramatically improve survival rates in critical situations. β¨
#Biotech #EmergencyMedicine #Innovation #ArtificialBlood
@Science
π₯98π50β‘27π27π24π2
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Automaker Geely has completed the deployment of its satellite constellation, successfully putting 11 communication satellites into orbit. π
Though a recent initiative, it already has the potential to transform vehicle management. Owners will now be able to unlock and control their cars in the most remote locations using nothing more than a modern smartphone, such as one from Huawei.
Though a recent initiative, it already has the potential to transform vehicle management. Owners will now be able to unlock and control their cars in the most remote locations using nothing more than a modern smartphone, such as one from Huawei.
π₯74β‘34π29π22π19π10
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Neural Network That Predicts Your Reaction to a Video
Meta has developed a unique neural network called TRIBE, capable of predicting how your brain will respond to a video β even before you hit the play button, and without any brain scanning!
This 1-billion-parameter model analyzes video, audio, and text to precisely determine which areas of the brain will be activated.
TRIBE was trained on 80 hours of TV shows and movies, enabling it to correctly predict more than half of brain activity patterns across 1,000 brain regions. It performs especially well with multisensory information β where vision, sound, and language interact β outperforming traditional models by 30%.
Interestingly, the system showed high accuracy in the frontal lobes, responsible for attention, decision-making, and emotional reactions to content. This opens new possibilities for developing methods aimed at maximizing viewer engagement at the neural level β which could make βdoomscrollingβ even more addictive.
In short: input β a video; output β information on which brain regions will light up. Multimodality really amplifies the effect!
https://github.com/facebookresearch/algonauts-2025
https://arxiv.org/abs/2507.22229
@science
Meta has developed a unique neural network called TRIBE, capable of predicting how your brain will respond to a video β even before you hit the play button, and without any brain scanning!
This 1-billion-parameter model analyzes video, audio, and text to precisely determine which areas of the brain will be activated.
TRIBE was trained on 80 hours of TV shows and movies, enabling it to correctly predict more than half of brain activity patterns across 1,000 brain regions. It performs especially well with multisensory information β where vision, sound, and language interact β outperforming traditional models by 30%.
Interestingly, the system showed high accuracy in the frontal lobes, responsible for attention, decision-making, and emotional reactions to content. This opens new possibilities for developing methods aimed at maximizing viewer engagement at the neural level β which could make βdoomscrollingβ even more addictive.
In short: input β a video; output β information on which brain regions will light up. Multimodality really amplifies the effect!
https://github.com/facebookresearch/algonauts-2025
https://arxiv.org/abs/2507.22229
@science
GitHub
GitHub - facebookresearch/algonauts-2025: Training and evaluating encoding models to predict fMRI brain responses to naturalisticβ¦
Training and evaluating encoding models to predict fMRI brain responses to naturalistic video stimuli - facebookresearch/algonauts-2025
π50π23β‘18π18π18π₯9
π MIT researchers use AI to fight drug-resistant bacteria
Scientists at MIT are turning to generative AI to outsmart one of the greatest medical threats of our time β antibiotic resistance.
π¬ Instead of searching traditional chemical libraries, the team generated over 36 million hypothetical molecules and screened them using graph neural networks, which analyze atoms and bonds as interconnected graphs.
β‘ Key results:
β’ 24 molecules were selected and synthesized
β’ 7 showed strong antibacterial activity
β’ 2 proved so effective they cured infected mice
π§ͺ The top candidates are NG1 and DN1:
β’ DN1 successfully eliminated MRSA skin infections in mice
β’ NG1 wiped out drug-resistant gonorrhea
π‘ What makes this breakthrough unique is how AI opens entirely new βchemical space,β beyond the reach of existing catalogs β giving scientists a way to discover novel compounds faster and more cost-effectively.
MIT researchers believe this approach could spark a βsecond golden age of antibiotics.β
π Read more: MIT News
@Science #AI #Biotech #Antibiotics #DrugResistance
Scientists at MIT are turning to generative AI to outsmart one of the greatest medical threats of our time β antibiotic resistance.
π¬ Instead of searching traditional chemical libraries, the team generated over 36 million hypothetical molecules and screened them using graph neural networks, which analyze atoms and bonds as interconnected graphs.
β‘ Key results:
β’ 24 molecules were selected and synthesized
β’ 7 showed strong antibacterial activity
β’ 2 proved so effective they cured infected mice
π§ͺ The top candidates are NG1 and DN1:
β’ DN1 successfully eliminated MRSA skin infections in mice
β’ NG1 wiped out drug-resistant gonorrhea
π‘ What makes this breakthrough unique is how AI opens entirely new βchemical space,β beyond the reach of existing catalogs β giving scientists a way to discover novel compounds faster and more cost-effectively.
MIT researchers believe this approach could spark a βsecond golden age of antibiotics.β
π Read more: MIT News
@Science #AI #Biotech #Antibiotics #DrugResistance
1π₯64π33β‘29π16π16π13
π AI Reinvents Gravitational Wave Detection
At Caltech, physicists are pushing the boundaries of how precisely we can measure gravitational waves β tiny ripples in space-time caused by black hole collisions and other cosmic cataclysms. Their tool: the LIGO detector, capable of spotting changes smaller than a billionth of an atom. Yet even LIGO has limits.
This year, researchers turned to AI-driven optimization. Instead of conventional symmetric designs, the algorithms proposed bizarre, seemingly chaotic setups β almost like βhallucinations.β After months of testing, one such design boosted LIGOβs sensitivity by 10β15% β a breakthrough that could accelerate discoveries for years to come.
Inspired by this success, a team at the Max Planck Institute created an AI named Urania to design new optical configurations. Not only did it find better solutions, it also rediscovered a forgotten Soviet law from the 1970s, impossible to implement back then β but finally realized in 2025, thanks to AI. π
We may truly be entering a new era of physics.
π Read more on WIRED
#AI #Physics #GravitationalWaves #LIGO
At Caltech, physicists are pushing the boundaries of how precisely we can measure gravitational waves β tiny ripples in space-time caused by black hole collisions and other cosmic cataclysms. Their tool: the LIGO detector, capable of spotting changes smaller than a billionth of an atom. Yet even LIGO has limits.
This year, researchers turned to AI-driven optimization. Instead of conventional symmetric designs, the algorithms proposed bizarre, seemingly chaotic setups β almost like βhallucinations.β After months of testing, one such design boosted LIGOβs sensitivity by 10β15% β a breakthrough that could accelerate discoveries for years to come.
Inspired by this success, a team at the Max Planck Institute created an AI named Urania to design new optical configurations. Not only did it find better solutions, it also rediscovered a forgotten Soviet law from the 1970s, impossible to implement back then β but finally realized in 2025, thanks to AI. π
We may truly be entering a new era of physics.
π Read more on WIRED
#AI #Physics #GravitationalWaves #LIGO
WIRED
AI Is Designing Bizarre New Physics Experiments That Actually Work
Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still βdoing a lot of baby-sitting.β
π41π39π29π24π₯16β‘11
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π The Great Mobula Ray Migration
From April to August and November to January, the coast of Baja California, Mexico, witnesses a breathtaking natural spectacle: the mass migration of mobula rays.
These elegant creatures travel in vast groups, chasing seasonal blooms of plankton and seeking suitable breeding grounds. The sheer scale and beauty of these migrations make them one of the oceanβs most mesmerizing events.
#MarineBiology #Oceans #Wildlife #Nature #Science
From April to August and November to January, the coast of Baja California, Mexico, witnesses a breathtaking natural spectacle: the mass migration of mobula rays.
These elegant creatures travel in vast groups, chasing seasonal blooms of plankton and seeking suitable breeding grounds. The sheer scale and beauty of these migrations make them one of the oceanβs most mesmerizing events.
#MarineBiology #Oceans #Wildlife #Nature #Science
π82π₯37β‘32π30π19π12
𧬠AI just made proteins that can turn back cellular aging 50à faster
OpenAI created proteins that rejuvenate cells 50Γ more effectively
OpenAI, together with Retro Biosciences, developed a new model β GPT-4b micro β designed for protein engineering.
The model helped create new variants of the Yamanaka factors β proteins that turn ordinary cells into stem cells.
Result: a 50-fold improvement in reprogramming efficiency compared to natural proteins.
The new proteins, RetroSOX and RetroKLF, differed from the originals by over 100 amino acids, yet worked better in 30β50% of cases.
Most importantly β they showed improved ability to repair DNA damage, which is directly linked to cellular rejuvenation.
In experiments on human fibroblasts from donors over 50, within just 7 days more than 30% of cells began expressing pluripotency markers.
Forget Ozempic. In a couple of years, we might be injecting lifespan extensions instead.
Like in the movie In Time.
Letβs just hope it doesnβt end like The Substance. :)
#OpenAI #Longevity #Biotech
@science
OpenAI created proteins that rejuvenate cells 50Γ more effectively
OpenAI, together with Retro Biosciences, developed a new model β GPT-4b micro β designed for protein engineering.
The model helped create new variants of the Yamanaka factors β proteins that turn ordinary cells into stem cells.
Result: a 50-fold improvement in reprogramming efficiency compared to natural proteins.
The new proteins, RetroSOX and RetroKLF, differed from the originals by over 100 amino acids, yet worked better in 30β50% of cases.
Most importantly β they showed improved ability to repair DNA damage, which is directly linked to cellular rejuvenation.
In experiments on human fibroblasts from donors over 50, within just 7 days more than 30% of cells began expressing pluripotency markers.
Forget Ozempic. In a couple of years, we might be injecting lifespan extensions instead.
Like in the movie In Time.
Letβs just hope it doesnβt end like The Substance. :)
#OpenAI #Longevity #Biotech
@science
Openai
Accelerating life sciences research
OpenAI and Retro Biosciences achieve 50x increase in expressing stem cell reprogramming markers.
1π56π47π33π₯28β‘24
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π A New Moon of Uranus! ππͺ
Using the James Webb Space Telescope, astronomers have discovered a brand-new moon orbiting Uranus, temporarily designated S/2025 U1.
If its reflectivity is similar to Uranusβs other moons, the newcomer is about 10 km across.
In this animation from Webbβs observations, you can spot the newly found moon, along with 13 of Uranusβs 28 known moons β and of course, its rings. The sequence captures about 6 hours of real time.
#Astronomy #JamesWebb #Uranus #Space
Using the James Webb Space Telescope, astronomers have discovered a brand-new moon orbiting Uranus, temporarily designated S/2025 U1.
If its reflectivity is similar to Uranusβs other moons, the newcomer is about 10 km across.
In this animation from Webbβs observations, you can spot the newly found moon, along with 13 of Uranusβs 28 known moons β and of course, its rings. The sequence captures about 6 hours of real time.
#Astronomy #JamesWebb #Uranus #Space
π61π₯29π25π21π20β‘10
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Chinaβs Lunar Ambitions ππ
China is aiming to land astronauts on the Moon by 2030! Recently, the country successfully tested the launch and landing of its new lunar lander Lanyue.
To simulate lunar gravity, engineers used special cables that offset Earthβs pull, allowing the lander to practice touchdowns on an artificial lunar surface.
The Lanyue module is designed not only to carry two astronauts but also to deliver scientific instruments to the Moonβs surface.
#Space #China #Moon #Exploration #Science
China is aiming to land astronauts on the Moon by 2030! Recently, the country successfully tested the launch and landing of its new lunar lander Lanyue.
To simulate lunar gravity, engineers used special cables that offset Earthβs pull, allowing the lander to practice touchdowns on an artificial lunar surface.
The Lanyue module is designed not only to carry two astronauts but also to deliver scientific instruments to the Moonβs surface.
#Space #China #Moon #Exploration #Science
β‘52π48π23π20π₯19
π Earthβs seasons are out of sync
Satellite data reveal that Earthβs seasons donβt line up the same across regions. In places like Mediterranean climates and tropical mountains, plants show different growth cycles β sometimes even just a valley apart.
This mismatch could shape ecosystems, agriculture, and even evolution, as species adapt to out-of-phase seasonal rhythms.
π Read more on ScienceAlert
Satellite data reveal that Earthβs seasons donβt line up the same across regions. In places like Mediterranean climates and tropical mountains, plants show different growth cycles β sometimes even just a valley apart.
This mismatch could shape ecosystems, agriculture, and even evolution, as species adapt to out-of-phase seasonal rhythms.
π Read more on ScienceAlert
ScienceAlert
Earth's Seasons Are Out of Sync, Scientists Discover From Space
These mismatches have surprising consequences.
π65π34π23β‘17π₯13π2
π Microsoft unveils an analog optical computer (AOC) for AI!
A team of four Microsoft researchers spent four years developing this breakthrough system, capable of solving AI tasks using simple LEDsβlike those in smartphones.
π Key highlights:
β’ β‘ 500 tera-operations per watt β over 100Γ more efficient than NVIDIAβs H100
β’ β±οΈ One iteration in just 20 nanoseconds
β’ π Only 2 femtojoules per operation
β’ π‘οΈ Runs at room temperature using micro-LEDs
The AOC combines analog electronics with 3D optical architectures, performing matrix multiplications optically, while complex calculations remain on silicon.
β¨ Advantages over quantum computing:
β’ β 100% accuracy on binary tasks, 95%+ on mixed tasks
β’ βοΈ Quantum systems manage only 40β60% on similar problems
β’ π Beat records from the QPLIB benchmark, solving optimization tasks with 500+ binary and 10,000+ continuous variables
β’ No cryogenics needed β works at room temperature!
The race is on: which will reach the market first β optical or quantum computing?
#Microsoft #OpticalComputing #Photonics #AI
A team of four Microsoft researchers spent four years developing this breakthrough system, capable of solving AI tasks using simple LEDsβlike those in smartphones.
π Key highlights:
β’ β‘ 500 tera-operations per watt β over 100Γ more efficient than NVIDIAβs H100
β’ β±οΈ One iteration in just 20 nanoseconds
β’ π Only 2 femtojoules per operation
β’ π‘οΈ Runs at room temperature using micro-LEDs
The AOC combines analog electronics with 3D optical architectures, performing matrix multiplications optically, while complex calculations remain on silicon.
β¨ Advantages over quantum computing:
β’ β 100% accuracy on binary tasks, 95%+ on mixed tasks
β’ βοΈ Quantum systems manage only 40β60% on similar problems
β’ π Beat records from the QPLIB benchmark, solving optimization tasks with 500+ binary and 10,000+ continuous variables
β’ No cryogenics needed β works at room temperature!
The race is on: which will reach the market first β optical or quantum computing?
#Microsoft #OpticalComputing #Photonics #AI
π₯59π27π21β‘19π18π16
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Unique NASA Images of Solar Flares
NASA has released rare, high-resolution images of solar flares with unprecedented detail. βοΈπ
@science
NASA has released rare, high-resolution images of solar flares with unprecedented detail. βοΈπ
@science
1π72π47π₯41π19
π Chinese scientists have created a DNA cassette tape with a staggering 36 petabytes of storage!
Instead of magnetic tape, this breakthrough uses synthetic DNA molecules to encode digital data through sequences of A, T, C, and G β the letters of life itself.
Highlights:
β’ Up to 1,570 addressable sections per second
β’ Rewind & fast-forward functions, just like classic cassettes πΆ
β’ Built-in error correction with ReedβSolomon codes for data integrity
β’ Market forecast: from $93M in 2024 to $3B by 2030
The future of storage may fit inside a strand of DNA β and yes, one day our smartphones might carry genetic labs just to keep all our memes safe. π§¬πΎ
#DNA #Storage
π Read more
@science
Instead of magnetic tape, this breakthrough uses synthetic DNA molecules to encode digital data through sequences of A, T, C, and G β the letters of life itself.
Highlights:
β’ Up to 1,570 addressable sections per second
β’ Rewind & fast-forward functions, just like classic cassettes πΆ
β’ Built-in error correction with ReedβSolomon codes for data integrity
β’ Market forecast: from $93M in 2024 to $3B by 2030
The future of storage may fit inside a strand of DNA β and yes, one day our smartphones might carry genetic labs just to keep all our memes safe. π§¬πΎ
#DNA #Storage
π Read more
@science
π₯73π53π33π25β‘14
Letβs https://t.iss.one/boost/science !
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Boost this channel to help it unlock additional features.
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π¨ Have you ever wondered how smartwatches know when youβre asleep?
Itβs not magic β itβs @science!
Modern devices like Apple Watch or Fitbit analyze your heart rate, breathing, and even micro-movements of your body. When your heartbeat becomes steady and slow β youβre asleep. Sudden changes? They signal that youβre awake.
β‘ But the technology has gone much further:
β’ In 2023, MIT introduced algorithms that can track not only sleep but also emotions β for example, detecting stress through subtle heart rate changes.
β’ In 2024, researchers showed how AI-powered smartwatches could predict sleep quality by considering stress levels, daytime activity, and even room lighting.
β’ And in 2025, the first clinical trials revealed that wearables can detect early signs of sleep apnea and arrhythmia β long before a person visits a doctor.
π Why does this matter? Because watches are no longer just gadgets β theyβre turning into real medical assistants, spotting health problems before you even notice them yourself.
π Who knows, maybe soon theyβll not only tell you to go to bed, but also remind you when itβs time to take a vacation?
#Science #AI #Technology #Health
Itβs not magic β itβs @science!
Modern devices like Apple Watch or Fitbit analyze your heart rate, breathing, and even micro-movements of your body. When your heartbeat becomes steady and slow β youβre asleep. Sudden changes? They signal that youβre awake.
β‘ But the technology has gone much further:
β’ In 2023, MIT introduced algorithms that can track not only sleep but also emotions β for example, detecting stress through subtle heart rate changes.
β’ In 2024, researchers showed how AI-powered smartwatches could predict sleep quality by considering stress levels, daytime activity, and even room lighting.
β’ And in 2025, the first clinical trials revealed that wearables can detect early signs of sleep apnea and arrhythmia β long before a person visits a doctor.
π Why does this matter? Because watches are no longer just gadgets β theyβre turning into real medical assistants, spotting health problems before you even notice them yourself.
π Who knows, maybe soon theyβll not only tell you to go to bed, but also remind you when itβs time to take a vacation?
#Science #AI #Technology #Health
π₯54π32π31π25β‘12