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Posts with #Interoperability

#Interoperability

Public posts on X that use #Interoperability.

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  2. Biometric Update✓@BiometricUpdate
    A Cambridge and Alan Turing Institute workshop found cross-border digital ID's biggest hurdles are now governance, trust and implementation, not technical standards. Its first reports are due next month. #DigitalID #Interoperability
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  3. Omnitronics@Omnitronics
    Whether you're looking to migrate between two networks or establish permanent multi-vendor communication, Omnitronics provides the ideal solution. 🌐 Get seamless and reliable connectivity with our dispatch and interoperability solutions. #Interoperability #Omnitronics #omnicore
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  5. Connectivity Standards Alliance✓@csaiot
    #ICYMI: Last month, the Alliance celebrated a major milestone: 1,000 Member Companies worldwide! 🌎🎉 This achievement reflects the strength of our global community and the collective commitment to advancing open standards, strengthening #interoperability, and building a more connected and secure #IoT ecosystem. A huge thank you to our Members for the collaboration, innovation, and dedication that made this milestone possible! 👏 Be part of what's next. Join Us: #csaiot #standardsmatter #iotsolutions #iotsecurity #globaltech
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  6. alphaXiv✓@askalphaxiv
    We’re hiring a writer at alphaXiv! (part-time or full-time) Write approachable, human-written guides on topics like LLM inference and interpretability that will be read by many! An interest in research is more important than an extensive background:
    102325421.9K
  9. Patrick Collison✓@patrickc
    New from @arcinstitute: using the latent space representation of genomes from single-cell life to find new candidate functional RNAs. I think this is cool because: (1) it uses deep learning and model interpretability to productive ends on a totally different kind of "knowledge"; (2) it shows how agents may be able to accelerate discovery in vast combinatoric spaces; and (3) it's an example of the synergy we'll hopefully see in the coming years between computational techniques and wet lab biology.
    Patrick Hsu @pdhsu
    Delighted to share a landmark preprint from our lab, using genome language models and AI agents for biological discovery and genome mining! The stretches of DNA between protein-coding genes are often called the genome’s “dark matter,” but they are far from empty. They encode RNA molecules that sense metabolites, regulate genes, and control some of molecular biology's most important tools (such as programmable genome editors e.g. CRISPR/bridge) Much of this biology is unexplored. One reason is that RNAs can retain similar structures and functions even as their DNA sequences change dramatically, making their relationships difficult to recognize with conventional computational tools
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  10. Patrick Hsu✓@pdhsu
    Delighted to share a landmark preprint from our lab, using genome language models and AI agents for biological discovery and genome mining! The stretches of DNA between protein-coding genes are often called the genome’s “dark matter,” but they are far from empty. They encode RNA molecules that sense metabolites, regulate genes, and control some of molecular biology's most important tools (such as programmable genome editors e.g. CRISPR/bridge) Much of this biology is unexplored. One reason is that RNAs can retain similar structures and functions even as their DNA sequences change dramatically, making their relationships difficult to recognize with conventional computational tools
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    30160809131K
  11. ClinDCast@clindcast
    Building a scalable healthcare interoperability strategy starts with connected systems and secure information exchange. Discover how HL7 and FHIR help drive healthcare IT innovation with @ClinDCast. read more: #hl7 #fhir #interoperability #dataexchange
    02356
  12. Mitchell Ostrow@neurostrow
    ‼️New theoretical results in AI interpretability 🧠💻 The J-lens from @wesg52 , @Jack_W_Lindsey, @AnthropicAI found evidence for a ‘global workspace’ in LLMs. But how? Our results clarify that the J-lens captures slow, coherent features:
    Anthropic @AnthropicAI
    New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside Claude.
    105242023.1K
  13. Anthropic✓@AnthropicAI
    New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside Claude.
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    1.4K3.9K28.4K10.8M
  14. Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)✓@teortaxesTex
    Really cool what would be cooler (actually, mind-blowing final triumph of interpretability) is generalized data+training method that can encourage modular "computers" to form inside models naturally… maybe one day.
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    Qwen Developers @QwenDevs
    So one of our ambassadors @divagr1925 has been working on something cool He found a way to use Qwen's Gated DeltaNet state as memory, and built a 32-bit RISC-V CPU directly into the model's weights. So instead of relying on predicting the answer to a calculation, the model can execute instructions internally. It can also run C and MicroPython programs. He calls it Qwenputer, love the name btw. The results so far are pretty impressive. On one arithmetic benchmark, accuracy jumped from 48.6% to 100%. Pretty cool to see developers experimenting with Qwen's architecture. Great work, my friend!
    1281577.5K
  15. Qwen Developers✓@QwenDevs
    So one of our ambassadors @divagr1925 has been working on something cool He found a way to use Qwen's Gated DeltaNet state as memory, and built a 32-bit RISC-V CPU directly into the model's weights. So instead of relying on predicting the answer to a calculation, the model can execute instructions internally. It can also run C and MicroPython programs. He calls it Qwenputer, love the name btw. The results so far are pretty impressive. On one arithmetic benchmark, accuracy jumped from 48.6% to 100%. Pretty cool to see developers experimenting with Qwen's architecture. Great work, my friend!
    1023223.4K150K
  17. Gilbert Verdian✓@gverdian
    The future of digital assets is unified and interoperable. Upgrade to a multi-ledger asset, only on Quant Fusion, the world’s first Layer 2.5 multi-ledger rollup built for true cross-chain interoperability. #MultiledgerRollup #Layer25 #Interoperability #QuantFusion
    Overledger.dev @OverledgerDev
    Issue Once. Use Everywhere. With Fusion’s multi-ledger rollup, institutions can now issue truly interoperable assets native across multiple blockchains. A stablecoin or tokenised fiat asset no longer needs to be minted, burned, or wrapped just to function across different layer 1 networks. Instead of handling separate token representations across Ethereum, Polygon, Solana, and others, Fusion merges them into a single, unified multi-ledger asset. This creates a new unified liquidity layer, removing fragmentation and enabling seamless cross-chain utility. And this capability isn’t just limited to institutions. Any asset, whether issued by a project, protocol, or developer, can now go multi-chain. Explore the latest Fusion Devnet implementation, with Testnet and Mainnet on the horizon: 👉 #MultiledgerRollup #Layer25 #Interoperability #QuantFusion
    3023197247.2K
  18. Overledger.dev✓@OverledgerDev
    Issue Once. Use Everywhere. With Fusion’s multi-ledger rollup, institutions can now issue truly interoperable assets native across multiple blockchains. A stablecoin or tokenised fiat asset no longer needs to be minted, burned, or wrapped just to function across different layer 1 networks. Instead of handling separate token representations across Ethereum, Polygon, Solana, and others, Fusion merges them into a single, unified multi-ledger asset. This creates a new unified liquidity layer, removing fragmentation and enabling seamless cross-chain utility. And this capability isn’t just limited to institutions. Any asset, whether issued by a project, protocol, or developer, can now go multi-chain. Explore the latest Fusion Devnet implementation, with Testnet and Mainnet on the horizon: 👉 #MultiledgerRollup #Layer25 #Interoperability #QuantFusion
    1612047064.4K
  22. Kosta Derpanis✓@CSProfKGD
    "Mechanistic Interpretability” Trailer for my Mech Interp lecture, coming this winter to my #DeepLearning course 🎬
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    54393.2K
  23. CreataChain@Creata_Chain
    🔄 ICP Relayer supports messages and state information moving between Zenith and Catena. 🔍 Delivering information and verifying it are distinct tasks. 💬 How should those responsibilities work together? #CreataChain #Interoperability #Web3
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  24. Goodfire@GoodfireAI
    The most ambitious vision for interpretability has long been to reverse-engineer a model well enough to answer an arbitrary question about how it works. For years, that’s seemed out of reach. Now, we think it’s possible. Neural networks are cleaner than we thought: we can now understand most neurons in models up to trillions of parameters. And agents can rapidly accelerate our progress. But to get there, we need a concerted effort to unlock scaling laws for interpretability, where our understanding of a model grows predictably with compute. That’s why we’re committing $10M to start a Human Genome Project for AI. Our ultimate goal is to reverse-engineer a frontier scale model and publish a living encyclopedia explaining how it works. We don’t know exactly what we’ll find, and we can’t do it alone. We hope you’ll join us. Our chief scientist @banburismus_ lays out the vision here:
    Tom McGrath @banburismus_
    if any science should be revolutionised by AI, it should be interpretability. I wrote about how we can accelerate progress, and why we need a Human Genome Project for AI. coauthored with @mathildepapillo
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  25. Tom McGrath✓@banburismus_
    if any science should be revolutionised by AI, it should be interpretability. I wrote about how we can accelerate progress, and why we need a Human Genome Project for AI. coauthored with @mathildepapillo
    1132258238K
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