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Science in Telegram | AI, Space & More is a Telegram channel listed on TeleHub. View its description, category, member count, and Telegram join link.
TelehubGet sharp insights into the sciences that matter - AI, space tech, biotech and more! 🌌💡
Science in Telegram | AI, Space & More is a Telegram channel listed on TeleHub. View its description, category, member count, and Telegram join link.
Explore a universe of scientific wonders with 'Science in Telegram.' Our channel covers essential topics like artificial intelligence, space exploration, biotechnology, and cutting-edge physics. With over 120,000 members engaged in lively discussions about the groundbreaking research shaping our future, there's always something intriguing to dive into! ✨ Check out some of our latest conversations: - 🛰 The concerns surrounding satellite constellations are growing. A new study raises alarms on their potential to unleash a cascade of dangerous space debris — an issue we must address as humanity reaches for the stars. - 🔴 Meanwhile, our discovery from Mars can revise geological history! A Martian rock's extraordinary age links it directly to a missing piece in understanding the planet’s past. - 👁️ Groundbreaking mapping of human vision reveals elegant neural pathways at play. Insights like these could revolutionize treatments for various retinal diseases! From fascinating planetary science 📊 to pioneering neuroscience breakthroughs 🧠, each post aims to inspire curiosity and ignite conversations among science enthusiasts. Don't miss any updates as we journey through discoveries that unveil what lies beyond and within us!
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Statistics updated September 9, 2026
Post frequency is estimated from the latest 30 stored public posts and may undercount activity.
🧬 Google DeepMind Just Precomputed 9 Billion Possible Human DNA Mutations This may be one of DeepMind’s most ambitious biology releases since AlphaFold. AlphaGenome Atlas contains AI predictions for the molecular effects of essentially every possible single-letter substitution in the human genome — around 9 billion variants. The resulting dataset is about 1 petabyte, more than 30 times larger than the AlphaFold Database. Why does this matter? Only around 2% of our genome directly encodes proteins. Much of the remaining 98% regulates when, where and how strongly genes are switched on — and contains huge numbers of variants associated with human traits and disease. AlphaGenome predicts how mutations may alter processes including gene expression, RNA splicing, chromatin accessibility and regulatory activity. DeepMind then combines these predictions with AlphaMissense into a single AlphaGenome Variant Impact — AVI — score, allowing researchers to rapidly rank variants across both coding and non-coding DNA. In an analysis of whole-genome data from more than 54,000 UK Biobank participants, the approach uncovered 22% more associations involving rare non-coding variants that had previously been buried in statistical noise. And there is another important shift happening alongside it. DeepMind has released Science Skills — an open collection of agent tools connecting AI workflows to resources including AlphaGenome, AlphaFold DB, UniProt, ClinVar and dozens of other scientific databases. This does not turn an AI agent into a doctor or make consumer DNA tests clinically diagnostic. But it does move genomics toward something fundamentally new: A human genome is becoming a dataset an AI agent can systematically interrogate, prioritize and explain. We sequenced the human genome 25 years ago. Now we are starting to make it searchable. #AlphaGenome #DeepMind #Genetics #AI #Bioinformatics #Biotechnology #Science Atlas: https://alphagenome.google/atlas
🤖 Robots Are Now Building Robots China’s XPeng has switched on a new production line for its humanoid robot IRON — and more than 80% of the line’s core manufacturing processes are automated. The first production-line IRON completed assembly and then walked off the line by itself. XPeng describes the facility as the world’s first automated production line for advanced general-purpose humanoid robots. The important nuance: this is not yet a completely human-free “self-replicating robot factory.” But it is a serious step from handcrafted prototypes toward industrial-scale humanoid production. And IRON is not exactly a conventional industrial robot. Its body has human-like proportions, flexible skin, highly articulated hands and movements realistic enough that, during XPeng’s 2025 AI Day, some viewers suspected there might actually be a person inside. CEO He Xiaopeng responded in the most convincing possible way: he cut open the robot’s leg on stage to reveal the machinery underneath. XPeng plans to begin mass production before the end of 2026, with commercial deliveries expected in China and overseas in 2027. For decades, factories used robots to manufacture cars. Now a car company has built a factory where robots manufacture humanoid robots. The recursion has officially begun. #Robotics #AI #XPeng #HumanoidRobots #China #PhysicalAI #Technology https://www.xpeng.com/news/01a080371029a057bc8e8a02a2c6012b
🥊 This Is the Beginning of the End: Unitree Taught Robots to Fight Autonomously The company unveiled UnifoLM-X2-1.0 — a world model that lets a robot decide in real time how to move, dodge and attack. No operator, no pre-scripted motions — it does it all on its own. ⚡️ The breakthrough in a nutshell: Unitree calls this the first fully autonomous humanoid fight driven by a world model. The robot doesn't follow scripted punches — it builds a model of what's happening and makes decisions on the fly. 🔬 Key findings: • The UnifoLM-X2-1.0 world model predicts the consequences of movements and plans actions in real time. • The footage shows both actual recording and predictive modeling — the system "plays out" possible futures before acting. • The robot dodges, attacks and keeps distance with no human in the loop. 💼 Why it matters: This is a step from programmed motions to autonomous decision-making in a dynamic environment. The technology that teaches a robot to fight will tomorrow help in rescue, logistics and work in hazardous conditions. It won't be funny for long 🪖 #Unitree #Robots #AI #Humanoids #Science @science