Savvas Argyropoulos

A free guide to the fundamentals of machine learning, v/@swapnakpanda: bit.ly/4pD0N9U

thousands of instructional image editing papers and many, many PhDs… just so that we have a feed flooded with posts putting bikinis on people.

Today in @Nature we report a new prime editing strategy that can rescue a common cause of many genetic diseases in a disease-agnostic manner. This approach converts a redundant endogenous tRNA into an optimized suppressor tRNA, enabling a single prime edit to rescue premature stop codons across different diseases. (1/15) drive.google.com/file/d/1bSvkJW…

@MIT_CSAIL Dertouzos was a true visionary who grasped the full potential of the computer to the transformation of the modern world. His two books, 25 years ago, contain numerous examples of today’s innovations when most considered them science fiction.

Happy birthday to the late Michael Dertouzos, who directed MIT’s Laboratory for Computer Science for 25+ years. Watch him discuss the future of computers on NBC’s Today Show w/late MIT prof. Joseph Weizenbaum back in 1983.

strong hook tying technique, very easy to learn and apply

🇬🇷 Greek Inventions and Discoveries: Democracy 🏛️ Olympic Games 🏅 Philosophy 🧠 Theater 🎭 Geometry 📐 Mathematics ➗ Physics ⚛️ Logic 🔢 Astronomy 🌌 Astrolabe 🧭 Alarm clock ⏰ Water mill 💦⚙️ Crane 🏗️ Anchor ⚓ Catapult 🎯 Steam engine 🚂 Maps 🗺️ Lighthouse💡 Medicine 💊 Syllogism 🧩 Pi (π) ➗ Archimedes’ screw 💧🔄 Planetary model 🌍🔭 Democracy-based voting system 🗳️ Trial by jury ⚖️ Odometer 🚗📏 Hydraulic clock 🕰️💧 Central heating 🔥🏛️ Lever and pulley ⚙️ Arch bridge 🌉 Urban planning 🏘️ Cartography 🗺️ Geocentric model 🌞🌍 Parabolic mirror 🔆 Geometry proofs 📚 Medicine ethics✋💉 Anatomy studies 🫀 Columns and architecture styles 🏛️ Sundial ☀️🕰️ Philosophical logic systems 🧩 Library cataloging system 📖

For 10 years, Google has worked to accurately read the operating manual of all life on Earth — the genome. Our AI tools are now used by partners for real-world challenges from improving healthcare to biodiversity conservation. Check out the key milestones ↓

You’ll be unstoppable. ☄️

Harvest at La Crau, with Montmajour in the Background - June 1888 #artbots #vangogh

Aegean Blue A3 731 / MLA-ATH @aegeanairlines

Some quite exciting improvements in genome assembly accuracy from @GoogleResearch and @ucsc Genomics Institute!

🧬 BREAKING: Our CRISPR-GPT paper is out TODAY in Nature Biomedical Engineering @natBME ! 🤯 We built an AI agent that turns ANYONE into a gene-editing expert in 1 DAY instead of months. An undergrad with ZERO experience achieved 90%+ editing efficiency on their FIRST attempt. 🧵 Here's how we're building expert AI agents for cutting-edge biotechnology: 🎯 The Problem: CRISPR is revolutionary but requires PhD-level expertise, it can take weeks to learn, adopt, and design, analyze a CRISPR experiment for R&D or making life-saving medicine. Even Pro scientists can make small mistakes (e.g. typos in guideRNA or cloning design) that cost months to find out, slowing us down. 💡 Our Solution: CRISPR-GPT - an AI co-pilot from @Stanford @Princeton @GoogleDeepMind that guides you through EVERY step via simple conversation 🔬 Real Results: -Novice researcher: ~90% editing on 1st go -Training time: Months → 1 day -100% success rate in our trials -Even experts save days/weeks on data analysis & troubleshooting 🤖 How it works: Our multi-agent system handles: CRISPR system and delivery method selection, guideRNA design, Protocol generation, Real-time troubleshooting, Data analysis, and beyond. All through natural language! No coding, no complex software. 📊 We benchmarked it extensively: -288 evaluation scenarios/cases -Outperformed GPT-4o on ALL gene editing tasks -Trained on 11 years of expert discussions -Covers knockout, base-editing, prime-editing & epigenetic editing 🌍 Why this matters: -Every lab can now use CRISPR with an AI system distilling expert knowledge and skills. -Every student can learn faster. -Every researcher can tackle bigger challenges without worrying about small mistakes. -Customized CRISPR design can be automated based on your need and the context of R&D workflow. -Agentic AI ensure safety, privacy, and responsibility -We're not just automating gene editing - we're using AI to power scientists to cure diseases. 🚀 Try it yourself! Beta access available at: genomics.stanford.edu Paper: nature.com/articles/s4155… Code: github.com/cong-lab/crisp… Benchmark (companion work, Genome-bench): github.com/mingyin0312/RL… Co-first and key authors: @YuanhaoQ @KaixuanHuang1 @MingYin_0312 PIs: @lecong @MengdiWang10 Key collaborators: @Rbaltman @denny_zhou The future of biology and science is conversational. The future is now. @natBME @NaturePortfolio #CRISPR #AI #GeneEditing #Biotech #Science #AISafety

Today we’re releasing GitHub Spark — a new tool in Copilot that turns your ideas into full-stack apps, entirely in natural language.

🚀 🇬🇷 A year in the making! I’ve just completed a set of 21 lectures in Machine Learning, in Greek, designed for high school students. The course introduces key ML concepts, coding in Python & PyTorch, and real-world AI applications. #MachineLearning #AI #EdTech #Greece

A step-by-step guide to diffusion models: bit.ly/4kw0uKo v/@goyal__pramod

@jrouldz You don't always eat the apple close the seeds, sometimes just a few bites are enough!

Some more recent investment errors: The past few weeks, as my account hit new highs, I offloaded some of my leap options including $OSCR $AMD and $ASTS I happened to nail the top on OSCR But AMD and ASTS have both kept running. I locked in multi bagger gains, but im afraid to look how much those contracts are worth now 😭 All we can do is move forward. There is always more opportunity awaiting us. On to the next! 🚀

Today in the journal Science: BioEmu from Microsoft Research AI for Science. This generative deep learning method emulates protein equilibrium ensembles – key for understanding protein function at scale. msft.it/6010S7T8n

@tt12514 Η κοινη λογικη δεν ειναι κοινη.

Το γράφω αυτό γιατί διάβασα κριτική για εγχώρια λύση ότι είναι ουσιαστικά ένα τζετ σκι. Ναι φίλε, θα βάλουν πάνω ραντάρ, αισθητήρες, τηλεχειριζομενους σταθμούς οπλισμού κτλ κτλ να το φτάσουν δέκα εκατομμύρια το κομμάτι για να το κάνει προσάναμα το πρώτο περιφερόμενο.

Ένας σημαντικός λόγος που τα usv πρέπει να είναι αναλώσιμα και φθηνά.