Science in telegram

🌿 In the wild, gray langurs and spotted deer share a remarkable partnership. 🐒 The langurs often drop fruits from tall trees, providing food for the deer. 🦌 In return, the deer act as an early warning system, alerting the monkeys to approaching predators. This fascinating example of mutualism shows how different species can cooperate for survival. 📷 hrishiwild

🐒🎥 A Chinese zoo has banned visitors from showing short videos (reels) to a chimpanzee named Ding-Ding. Ding-Ding became an internet star because of his love for watching short clips on visitors’ phones. But the staff raised concerns: constant screen time could harm his eyesight. The case sparked discussions online about digital addiction — and whether it’s really unique to humans. Of course, primates are on a different evolutionary step, so for people the risk isn’t quite the same. Still, maybe it’s a reminder for us too: clean your glasses and enjoy the view of the real world every once in a while. 👓🌍 #Science #Animals #Psychology #Technology

🚨 Have you ever wondered how smartwatches know when you’re asleep? It’s not magic — it’s @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 — you’re asleep. Sudden changes? They signal that you’re awake. ⚡ But the technology has gone much further: • In 2023, MIT introduced algorithms that can track not only sleep but also emotions — for example, detecting stress through subtle heart rate changes. • In 2024, researchers showed how AI-powered smartwatches could predict sleep quality by considering stress levels, daytime activity, and even room lighting. • And in 2025, the first clinical trials revealed that wearables can detect early signs of sleep apnea and arrhythmia — long before a person visits a doctor. 🌍 Why does this matter? Because watches are no longer just gadgets — they’re turning into real medical assistants, spotting health problems before you even notice them yourself. 😄 Who knows, maybe soon they’ll not only tell you to go to bed, but also remind you when it’s time to take a vacation? #Science #AI #Technology #Health

Let’s https://t.me/boost/science !

🚀 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 — the letters of life itself. Highlights: • Up to 1,570 addressable sections per second • Rewind & fast-forward functions, just like classic cassettes 🎶 • Built-in error correction with Reed–Solomon codes for data integrity • Market forecast: from $93M in 2024 to $3B by 2030 The future of storage may fit inside a strand of DNA — and yes, one day our smartphones might carry genetic labs just to keep all our memes safe. 🧬💾 #DNA #Storage 🔗 Read more @science

Comets are usually imagined as much smaller than they really are. Here’s the actual scale of comet 67P/Churyumov–Gerasimenko — the one visited by the Rosetta spacecraft. 🚀✨

🚀 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 LEDs—like those in smartphones. 🔑 Key highlights: • ⚡ 500 tera-operations per watt — over 100× more efficient than NVIDIA’s H100 • ⏱️ One iteration in just 20 nanoseconds • 🔋 Only 2 femtojoules per operation • 🌡️ 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. ✨ Advantages over quantum computing: • ✅ 100% accuracy on binary tasks, 95%+ on mixed tasks • ⚖️ Quantum systems manage only 40–60% on similar problems • 🏆 Beat records from the QPLIB benchmark, solving optimization tasks with 500+ binary and 10,000+ continuous variables • No cryogenics needed — works at room temperature! The race is on: which will reach the market first — optical or quantum computing? #Microsoft #OpticalComputing #Photonics #AI

🌍 Earth’s seasons are out of sync Satellite data reveal that Earth’s seasons don’t line up the same across regions. In places like Mediterranean climates and tropical mountains, plants show different growth cycles — sometimes even just a valley apart. This mismatch could shape ecosystems, agriculture, and even evolution, as species adapt to out-of-phase seasonal rhythms. 🔗 Read more on ScienceAlert

🧬 AI just made proteins that can turn back cellular aging 50× faster OpenAI created proteins that rejuvenate cells 50× more effectively OpenAI, together with Retro Biosciences, developed a new model — GPT-4b micro — designed for protein engineering. The model helped create new variants of the Yamanaka factors — 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 30–50% of cases. Most importantly — 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. Let’s just hope it doesn’t end like The Substance. :) #OpenAI #Longevity #Biotech @science

🌊 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 ocean’s most mesmerizing events. #MarineBiology #Oceans #Wildlife #Nature #Science

🌀 AI Reinvents Gravitational Wave Detection At Caltech, physicists are pushing the boundaries of how precisely we can measure gravitational waves — 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 — almost like “hallucinations.” After months of testing, one such design boosted LIGO’s sensitivity by 10–15% — 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 — but finally realized in 2025, thanks to AI. 🚀 We may truly be entering a new era of physics. 🔗 Read more on WIRED #AI #Physics #GravitationalWaves #LIGO

💊 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 — antibiotic resistance. 🔬 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. ⚡ Key results: • 24 molecules were selected and synthesized • 7 showed strong antibacterial activity • 2 proved so effective they cured infected mice 🧪 The top candidates are NG1 and DN1: • DN1 successfully eliminated MRSA skin infections in mice • NG1 wiped out drug-resistant gonorrhea 💡 What makes this breakthrough unique is how AI opens entirely new “chemical space,” beyond the reach of existing catalogs — giving scientists a way to discover novel compounds faster and more cost-effectively. MIT researchers believe this approach could spark a “second golden age of antibiotics.” 📌 Read more: MIT News @Science #AI #Biotech #Antibiotics #DrugResistance

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 — 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 — where vision, sound, and language interact — 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 — which could make “doomscrolling” even more addictive. In short: input — a video; output — 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